xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:We are seeking a skilled Corporate Law and Securities Expert to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to corporate law and securities contexts. In this role, you will leverage your expertise in corporate transactions, securities filings, and investment banking legal work to support the training of advanced AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal analysis and corporate documentation dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.
RESPONSIBILITIES:Utilize proprietary software to provide accurate input and labels for corporate law and securities projects, ensuring high-quality data for AI model training.Deliver curated, high-quality data for corporate law scenarios involving securities filings (10-Ks, 10-Qs, 8-Ks, S-1s), investment banking transaction documentation (prospectuses, offering memoranda, indentures, credit agreements), M&A documentation (merger agreements, purchase agreements, disclosure schedules), corporate governance materials, and regulatory compliance filings.Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.Assist in designing and improving efficient annotation tools tailored for corporate law and securities documentation.Select and analyze complex problems in corporate law and securities fields aligned with your expertise to enhance AI model performance.Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.BASIC QUALIFICATIONS:Juris Doctor (J.D.) degree and active admission to a state bar.Professional experience at a top-tier white shoe law firm or as legal counsel at a bulge bracket investment bank.Direct experience in corporate law and securities work, including drafting and reviewing SEC filings (10-Ks, 10-Qs, 8-Ks, registration statements), investment banking transaction documents (prospectuses, offering memoranda, bond indentures), and/or M&A documentation.Strong understanding of securities law, corporate governance, and capital markets transactions.Proficiency in reading and writing informal and professional English.Strong communication, interpersonal, analytical, and organizational skills.Excellent reading comprehension and ability to exercise autonomous judgment with limited data.Passion for technological advancements and innovation in legal practice.PREFERRED SKILLS AND EXPERIENCE:Transactional experience in debt capital markets, equity capital markets, or M&A at a top law firm or investment bank.Experience reviewing disclosure documents for accuracy, completeness, and regulatory compliance.Comfort with recording audio or video sessions for data collection.Familiarity with AI or data annotation workflows in a technical setting.LOCATION AND OTHER EXPECTATIONS:Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.We are unable to provide visa sponsorship.For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.COMPENSATION AND BENEFITS:US based candidates: $100/hour - $200/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.
Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Read LessxAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:As a Commercial Counsel at xAI, you'll support procurement efforts by negotiating high-value deals for software, SaaS, hardware, infrastructure, services and any thing else under the sun! Working closely with the Data Center and Procurement Lead, you'll tackle complex agreements, ensure compliance, and streamline processes in a fast-paced environment. Expect to dive into strategic negotiations, balance legal and business priorities, and support xAI's mission to advance AI-driven human scientific discovery. This role is based in Palo Alto, California.
RESPONSIBILITIES:Draft, review, and negotiate a wide range of commercial agreements for frontier AI company including vendor agreements for software, SaaS, professional services, corporate services, equipment, data licenses, and NDAs.Partner closely with engineering, finance and operations teams to align contracts with business needs.Create processes, templates and playbooks and support the deployment of systems for efficient and scalable contracting.Be extremely versatile, highly responsive, pitch in for anything needed in the Legal department, even if it's unfamiliar or not in your laneBASIC QUALIFICATIONS:5-10 years of legal experience–ideally through a combination of experience at innovative technology companies and/or excellent law firms.Experience in commercial contracting, with a focus on procurement in technology or infrastructure sectors.Proven track record of negotiating complex deals for software, SaaS, hardware, data licenses, capital equipment, or AI-related technologies.Tech-savvy with an understanding or keen interest in datacenters and emerging technologies like AI.Have a strong sense of ownership, be inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations.Have a lot of charge in the battery!Creative solution oriented problem solver.JD from an accredited law school and active bar membership in at least one U.S. state.COMPENSATION AND BENEFITS:$225,000 - $285,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Read LessxAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Role:We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability.As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency).This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scaleResponsibilities:
Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache).Optimize latency and throughput of model inference under real production workloads.Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency.Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation).Develop custom tools to trace, replay, and fix issues across the full stack — from orchestration down to GPU kernels.Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates.Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems.BASIC QUALIFICATIONS:Deep low-level systems programming (C/C++ or Rust)Experience with large-scale, high-concurrent production serving.Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.).Strong background in system optimizations: batching, caching, load balancing, parallelism.Low-level inference optimizations: GPU kernels, code generation.Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics.Experience with testing, benchmarking, and reliability of inference services.Experience designing and implementing CI/CD infrastructure for inference.COMPENSATION AND BENEFITS:$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Read LessxAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:The Observability team builds and operates the core infrastructure that enables engineers to monitor, debug, and optimize the performance and reliability of their systems. We handle telemetry at massive scale — billions of time series and petabytes of logs — with strict performance and availability requirements.
You will be part of the small, high-impact team responsible for building and maintaining X's observability platform. You'll own critical systems that power metrics, logs, tracing, and alerting enabling engineering teams to operate services at scale, identify issues before they impact users, and drive systemic reliability improvements.
RESPONSIBILITIES:Design and implement scalable observability infrastructure for metrics, logging, and tracing.Build high-performance telemetry pipelines that handle massive ingestion volumes.Develop APIs, query engines, and UIs that allow engineers to get real-time insights into their services.Define and enforce best practices for instrumentation, alerting, and reliability across the company.Partner with infrastructure and product teams to deeply integrate observability into our internal platforms.Own the reliability, scalability, and performance of the observability stack end-to-end.BASIC QUALIFICATIONS:Production-level proficiency in Go, Rust, Scala, or a similar languagesDeep understanding of distributed systems and telemetry architecture.Experience building and operating infrastructure at scale.Familiarity with observability stacks such as Prometheus, Grafana, OpenTelemetry, VictoriaMetrics, or ClickHouse.Experience with Kafka, Redis, or large-scale time series databases.Experience operating observability pipelines in Kubernetes or similar orchestration environments.COMPENSATION AND BENEFITS:$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Read LessxAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:We're looking for exceptional storage & database engineers who want to join us on a new project to deeply integrate xAI's advanced AI infrastructure into a platform used by around 600 million users every month. We're building xAI's new storage tier that powers training, inference, recommendations, and real-time data extraction.
We build and operate:
An exabyte-scale S3-compatible object storeA multi-tenant transactional key/value store that serves 100s of millions requests per secondA caching tier that serves billions of requests per secondA scalable vector database that powers our recommendation systemsA few other specialized databases serving hundreds of millions requests per second RESPONSIBILITIES:Design, build, and launch to production new features and improvements aimed at unifying common components across the storage systemsDive into performance issues and work with customers and deliver solutions to cater to customers' latency, availability and data durability requirements.Lead and drive incident responses and recovery with your peers. Review and contribute to incident postmortems and hold a high bar for the same.Work in a collaborative environment and uplevel your peers by doing mentoring, code and design reviews.Be open to develop new skills and learn on the job as we navigate new technology spaces.Ground your decisions with data and reasoning and adapt to new information to make informed choices.BASIC QUALIFICATIONS:Have at least 7 years of experience in software development, plus 2+ years building storage systems or databases.Obsessed with reliability, performance, and qualityProficient in high performance C++, Rust, or JVM-based languagesExpertise in building, running, and operating scalable and resilient distributed systemsCOMPENSATION AND BENEFITS:$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
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