About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: CUDA Engineering Expert
Type: Contract
Compensation: $80–$120/hour
Location: Remote
Role Responsibilities
Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.Use profiler metrics like L2 cache hit rate, L2 throughput, and occupancy to guide kernel improvements.Review GPU kernel implementations to identify bottlenecks without needing extensive algorithmic background.Write, modify, and reason about C++17, Python, and GPU programming code.Apply CUDA, HIP, and shader programming expertise to improve performance outcomes.Document optimization decisions clearly, noting when specific profiler metrics are useful.Qualifications
Must-Have
Available to work at least 20 hrs/wk.Fluent in core C++ features through C++17.Working knowledge of Python and Git.Fluent in at least one GPU programming model like CUDA, HIP, Slang, HLSL, or GLSL.At least 1 year of professional or graduate-level research experience with GPUs.Strong understanding of GPU profiler performance metrics for kernel optimization.Ability to optimize GPU kernels without deep prior context on every algorithm.Preferred
Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization.Experience optimizing kernels for NVIDIA Blackwell hardware.Familiarity with NSight Compute.Prior experience with GPU hardware organizations like NVIDIA, AMD, or Qualcomm.Open-source contributions related to GPU kernel optimization.Application Process (Takes 20–30 mins to complete)
Submit your resume or relevant technical background to get started.Qualified applicants may be asked to complete a brief technical assessment or submit additional information.Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Gamers
Type: Contract
Compensation: $12–$14/hour
Location: Remote
Role Responsibilities
Play assigned games such as Minecraft for structured sessions of 15–60 minutes.Record gameplay using provided screen recording software. Mercor will provide the software.Follow simple gameplay instructions like exploration and task-based play.Ensure recordings meet quality requirements with no lag and stable FPS.Upload completed sessions and metadata to designated storage platforms.Qualifications
Must-Have
Access to a personal Windows computer.Comfortable installing recording software for gameplay and input capture.Reliable internet connection for uploading large video files.Attention to detail and willingness to follow setup guidelines.Application Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote
Role Responsibilities
Develop end-to-end machine learning solutions for challenging prediction and modeling problems.Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.Perform exploratory data analysis, feature engineering, and data preprocessing.Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.Review and validate the technical quality of machine learning projects and deliverables.Identify opportunities to improve model performance through systematic experimentation and iteration.Qualifications
Must-Have
Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.Strong understanding of model evaluation metrics, validation methodologies, and experimental design.Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.Preferred
PhD from a leading research university.Experience at leading technology companies, AI labs, research institutions, or high-growth startups.Participation in competitive machine learning or data science competitions.Experience optimizing models against performance-based evaluation metrics.Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.Publications, patents, or significant open-source contributions in machine learning or AI.Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.Application Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Telecommunications Expert
Type: Contract
Compensation: $1,150–$1,450 per completed task
Location: Remote
Role Responsibilities
Review and evaluate AI-generated outputs related to network architecture design, telecom operations workflows, and communications technology analysis.Create realistic scenarios based on telecommunications workflows such as network provisioning, fault management, and spectrum allocation decisions.Annotate, label, and validate data across telecom use cases, ensuring accuracy in network topology, QoS parameter recommendations, and regulatory compliance.Provide structured feedback on AI accuracy in areas like telecom standards and protocols (e.g., 3GPP, IEEE 802.11, SIP).Collaborate asynchronously with research teams to refine evaluation frameworks for telecommunications AI.Qualifications
Must-Have
3+ years of professional experience in telecommunications at a carrier, MVNO, ISP, equipment vendor, or enterprise communications organization.Background in areas such as wireless/cellular networks, wireline/broadband infrastructure, or network operations.Strong analytical thinking and ability to translate network and operations workflows into structured evaluation tasks.Clear written communication and attention to detail.Preferred
Professional certifications such as CCNA/CCNP, CWNA, CompTIA Network+, or TIA credentials.Compensation & Legal
Task Completion Pay: Competitive and based on task quality.Performance Bonus: Top performers receive a weekly bonus incentive.Hourly Opportunity: Top performers may transition to an hourly compensation model.Application Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Read LessAbout the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Law Experts
Type: Contract
Compensation: $100–$130/hour
Location: Remote
Commitment: 20+ hours/week
Role Responsibilities
Construct enterprise legal scenarios across in-house counsel, regulatory, transactional, and litigation work for Fortune 500 organizations.Draft and review materials grounded in enterprise compliance regimes (FCPA, SOX, GDPR, HIPAA, sector-specific regulation in banking, healthcare, pharma, and insurance).Build tasks around enterprise contracting at material scale (MSAs, SOWs, DPAs, licensing) and M&A diligence for Fortune 500 transactions.Develop ERM and COSO-aligned risk scenarios, board-level reporting, and regulated-industry investigations.Author detailed, criterion-referenced rubrics that capture the judgment a senior Fortune 500 lawyer would apply.Qualifications
Must-Have
5+ years as in-house counsel at a Fortune 500 or large public company, or as a partner/senior associate at an AmLaw 100 firm representing Fortune 500 clients.Deep exposure to one or more enterprise practice areas: M&A, securities, regulatory, employment, IP, privacy, or commercial contracting at Fortune 500 scale.Familiarity with CLM platforms (Ironclad, Agiloft, Icertis) and enterprise GRC tooling.JD with active bar admission.Preferred
Prior rubric, exam, or training-content authorship.Compensation & Legal
Hourly contractorPaid weekly via Stripe ConnectApplication Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Read LessAbout the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Excel Expert — Office / Retail Management
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 20+ hours/week
Role Responsibilities
Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks within the Office / Retail Management domain.Design realistic, domain-relevant Excel tasks drawn from your professional experience, and write accurate, well-structured solutions.Evaluate Excel tasks and solutions and provide clear, written feedback.Collaborate with other subject matter experts to ensure consistency and accuracy in training data.Qualifications
Must-Have
Demonstrated advanced, professional-level Excel expertise, including advanced formulas (e.g., XLOOKUP, INDEX/MATCH, dynamic arrays), PivotTables, data modeling, dashboards, Power Query, Power Pivot, and macros/VBA.Hands-on professional experience applying Excel within the Office / Retail Management domain.Demonstrable career progression in your field.Ability to engage reliably for at least 20 hours/week during weekdays.Verbal and written communication skills, problem-solving skills, and interpersonal skills.United States–based only.Application Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Read LessAbout the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: RTL Design Engineers
Type: Contract
Compensation: $100–$175/hour
Location: Remote
Duration: 3+ months
Commitment: 40 hours/week
Role Responsibilities
Evaluate digital chip design workflows to enhance AI model training and evaluation.Design and verify RTL components using Verilog/SystemVerilog.Collaborate with architecture, verification, and implementation teams to improve model outputs.Develop reusable verification components and testbench infrastructure.Leverage LLM-based tools to accelerate chip design and verification processes.Work independently and asynchronously to meet project deadlines.Qualifications
Must-Have
3–10 years of experience in digital RTL design or design verification.Strong proficiency in Verilog/SystemVerilog and UVM.Solid understanding of digital design fundamentals: FSMs, datapaths, pipelines, FIFOs, arbiters, clock/reset domains, bus protocols.Experience with ASIC design flows and common EDA tools.Ability to write clear design documentation and communicate technical tradeoffs.Preferred
Knowledge of AMBA protocols (AXI, AHB, APB).Background in CPU, GPU/ML accelerator, networking, memory subsystem, PCIe/high-speed IO, SoC interconnect, low-power design.Exposure to formal verification or SV/UVM-based design verification.Start Date
Week of 04/23; applications reviewed on a rolling basis.Compensation & Legal
Hourly contractor, Paid weekly.Application Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Read LessAbout the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote
Role Responsibilities
Develop end-to-end machine learning solutions for challenging prediction and modeling problems.Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.Perform exploratory data analysis, feature engineering, and data preprocessing.Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.Review and validate the technical quality of machine learning projects and deliverables.Identify opportunities to improve model performance through systematic experimentation and iteration.Qualifications
Must-Have
Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.Strong understanding of model evaluation metrics, validation methodologies, and experimental design.Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.Preferred
PhD from a leading research university.Experience at leading technology companies, AI labs, research institutions, or high-growth startups.Participation in competitive machine learning or data science competitions.Experience optimizing models against performance-based evaluation metrics.Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.Publications, patents, or significant open-source contributions in machine learning or AI.Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.Application Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Read LessAbout the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Expert Hardware / RTL Engineer – SystemVerilog / Verilog
Type: Contract
Compensation: $110–190/hour
Location: Remote
Commitment: 20–40 hours/week
Role Responsibilities
Apply RTL expertise to evaluate technical tasks against real-world professional standards.Review intricate code-level situations and provide precise, structured written assessments.Work inside Docker-based repositories, running and interpreting programmatic and CI-style checks to ensure a sound engineering environment.Provide clear written rationales explaining your expert judgments.Complete well-defined, time-bounded tasks with explicit evaluation criteria.Qualifications
Must-Have
5+ years of professional or research RTL experience in SystemVerilog or Verilog.Hands-on depth in RTL design, testbench/UVM verification, FPGA or ASIC work, and EDA toolchains (Vivado, Quartus, Synopsys, Cadence).Comfort working in Linux/Docker-based repo environments and reading automated/CI checks.Ability to articulate not just what code does but why it's correct or idiomatic, clearly in writing.Preferred
Engineers from semiconductor, telecom, defense/aerospace, national-lab, or academic backgrounds.Compensation & Legal
Hourly contractorPaid weekly via Stripe ConnectApplication Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Read LessAbout the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Administrative Services Managers
Type: Contract
Compensation: $90–$110/hour
Location: Remote
Duration: 3–4 weeks
Commitment: 30–40 hours/week
Role Responsibilities
Create deliverables addressing common requests within your professional domain.Review peer-developed deliverables to improve AI research.Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research.Collaborate with AI research teams to enhance research and infrastructure for next-generation machine learning systems.Qualifications
Must-Have
4+ years professional experience in your respective field.Excellent written communication with strong grammar and spelling skills.Start Date
ImmediatelyApplication Process (Takes 20–30 mins to complete)
Upload resumeAI interview based on your resumeSubmit formResources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Read Less