In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care. • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health. • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence. • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology. • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency. • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated legal analyses and/or generate expert legal content, evaluating reasoning quality and step-by-step issue-spotting while providing precise written feedback. You will assess answers for accuracy, clarity, and adherence to the prompt; identify errors in legal methodology or doctrine; fact-check citations and stated rules; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your legal expertise directly helps improve the world’s premier AI models by making their legal reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Law (JD/LLB), Legal Studies, Public Policy, or Political Science, with strong grounding in Constitutional Law, Contracts, Torts, Criminal Law, Civil Procedure, and Regulatory/Administrative Law. • 5+ years of professional experience in Law, Legal Studies, Public Policy, or Political Science. • Strong legal reasoning and issue-spotting skills, including statutory interpretation, case analysis, and translating facts into elements and defenses. • Fluent in compliance concepts, rights & obligations analysis, and policy frameworks; able to identify missing facts and assumptions that change outcomes. • Exceptional attention to detail when checking rule statements, citations, jurisdictional relevance, procedural posture, and logical consistency; Minimum C1 English proficiency. • Able to write clear, structured feedback that explains errors and the correct reasoning path without unnecessary verbosity. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, legal editing, or QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care. • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health. • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence. • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology. • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency. • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred. Read Less

Who We Are We are a community built on care. Our caregivers and supporting staff extend compassion to those in need, helping to improve the health and well-being of those we serve, and provide comfort and healing. Your community is our community. Our Story We started out as a small operation in California. In May 1969, we acquired four hospitals, some additional care facilities and real estate for the future development of hospitals. Over the years, we've grown tremendously in size, scope and capability, building a home in new markets over time, and curating those homes to provide a compassionate environment for those entrusting us with their care. We have a rich history at Tenet. There are so many stories of compassionate care; so many "firsts" in terms of medical innovation; so many examples of enhancing healthcare delivery and shaping a business that is truly centered around patients and community need. Tenet and our predecessors have enabled us to touch many different elements of healthcare and make a difference in the lives of others. Our Impact Today Today, we are leading health system and services platform that continues to evolve in lockstep with community need. Tenet's operations include three businesses - our hospitals and physicians, USPI and Conifer Health Solutions. Our impact spreads far and deep with 65 hospitals and approximately 510 outpatient centers and additional sites of care. We are differentiated by our top notch medical specialists and service lines that are tailored within each community we serve. The work Conifer is doing will help provide the foundation for better health for clients across the country, through the delivery of healthcare-focused revenue cycle management and value-based care solutions. Together as an enterprise, we work to save lives and can accept nothing less than excellence from ourselves in service of our patients and their families, every day. Responsible for ensuring appropriate equipment is available; reviewing permit to confirm procedure; assist in moving and positioning patient; providing assistance throughout the procedure in a variety of surgical techniques. This position may qualify for a sign-on bonus Summary: The Surgical First Assistant, under the direction and supervision of the surgeon, provides aid in exposure, hemostasis, closure, and other intraoperative technical functions. The surgical first assistant may also perform preoperative and postoperative duties to facilitate patient care. Education: Required: Graduate of a CAAHEP accredited program. Preferred: Associate degree. Experience: Required: 3 years scrub and/or assisting experience. Preferred: 5 years as surgical technician. Certifications: Required: AHA BLS. Surgical Technology certification, Surgical First Assistant certification, currently licensed, certified, or registered to practice profession as required by law, regulation in state of practice or policy. #LI-NR1 Tenet complies with federal, state, and/or local laws regarding mandatory vaccination of its workforce. If you are offered this position and must be vaccinated under any applicable law, you will be required to show proof of full vaccination or obtain an approval of a religious or medical exemption prior to your start date. If you receive an exemption from the vaccination requirement, you will be required to submit to regular testing in accordance with the law. Employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship. Tenet participates in the E-Verify program. Follow the link below for additional information. E-Verify: http://www.uscis.gov/e-verify The employment practices of Tenet Healthcare and its companies comply with all applicable laws and regulations. 2503020574 Employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship. Read Less

In this hourly, remote contractor role, you will review AI-generated legal analyses and/or generate expert legal content, evaluating reasoning quality and step-by-step issue-spotting while providing precise written feedback. You will assess answers for accuracy, clarity, and adherence to the prompt; identify errors in legal methodology or doctrine; fact-check citations and stated rules; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your legal expertise directly helps improve the world’s premier AI models by making their legal reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Law (JD/LLB), Legal Studies, Public Policy, or Political Science, with strong grounding in Constitutional Law, Contracts, Torts, Criminal Law, Civil Procedure, and Regulatory/Administrative Law. • 5+ years of professional experience in Law, Legal Studies, Public Policy, or Political Science. • Strong legal reasoning and issue-spotting skills, including statutory interpretation, case analysis, and translating facts into elements and defenses. • Fluent in compliance concepts, rights & obligations analysis, and policy frameworks; able to identify missing facts and assumptions that change outcomes. • Exceptional attention to detail when checking rule statements, citations, jurisdictional relevance, procedural posture, and logical consistency; Minimum C1 English proficiency. • Able to write clear, structured feedback that explains errors and the correct reasoning path without unnecessary verbosity. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, legal editing, or QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated legal analyses and/or generate expert legal content, evaluating reasoning quality and step-by-step issue-spotting while providing precise written feedback. You will assess answers for accuracy, clarity, and adherence to the prompt; identify errors in legal methodology or doctrine; fact-check citations and stated rules; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your legal expertise directly helps improve the world’s premier AI models by making their legal reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Law (JD/LLB), Legal Studies, Public Policy, or Political Science, with strong grounding in Constitutional Law, Contracts, Torts, Criminal Law, Civil Procedure, and Regulatory/Administrative Law. • 5+ years of professional experience in Law, Legal Studies, Public Policy, or Political Science. • Strong legal reasoning and issue-spotting skills, including statutory interpretation, case analysis, and translating facts into elements and defenses. • Fluent in compliance concepts, rights & obligations analysis, and policy frameworks; able to identify missing facts and assumptions that change outcomes. • Exceptional attention to detail when checking rule statements, citations, jurisdictional relevance, procedural posture, and logical consistency; Minimum C1 English proficiency. • Able to write clear, structured feedback that explains errors and the correct reasoning path without unnecessary verbosity. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, legal editing, or QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated legal analyses and/or generate expert legal content, evaluating reasoning quality and step-by-step issue-spotting while providing precise written feedback. You will assess answers for accuracy, clarity, and adherence to the prompt; identify errors in legal methodology or doctrine; fact-check citations and stated rules; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your legal expertise directly helps improve the world’s premier AI models by making their legal reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Law (JD/LLB), Legal Studies, Public Policy, or Political Science, with strong grounding in Constitutional Law, Contracts, Torts, Criminal Law, Civil Procedure, and Regulatory/Administrative Law. • 5+ years of professional experience in Law, Legal Studies, Public Policy, or Political Science. • Strong legal reasoning and issue-spotting skills, including statutory interpretation, case analysis, and translating facts into elements and defenses. • Fluent in compliance concepts, rights & obligations analysis, and policy frameworks; able to identify missing facts and assumptions that change outcomes. • Exceptional attention to detail when checking rule statements, citations, jurisdictional relevance, procedural posture, and logical consistency; Minimum C1 English proficiency. • Able to write clear, structured feedback that explains errors and the correct reasoning path without unnecessary verbosity. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, legal editing, or QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care. • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health. • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence. • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology. • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency. • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care. • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health. • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence. • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology. • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency. • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care. • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health. • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence. • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology. • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency. • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care. • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health. • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence. • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology. • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency. • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care. • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health. • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence. • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology. • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency. • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications. • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred. Read Less

In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained. Key Responsibilities: • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Your Profile: • Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). • 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. • Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. • Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). • Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. • Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. • Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred. Read Less