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Mercor · remote

Mercor is recruiting U.S./UK/Canada/Europe-based SWEs for a model-training project with a leading foundational model AI lab. You are a good fit if you: Have experience working at top US tech firms Proven track record of building and maintaining complex, production-grade Python systems — not just scripts or notebooks, but full-featured services, tools, or frameworks used in real-world environments. Deep understanding of Python language fundamentals, including advanced features like decorators, generators, async/await, context managers, and performance tuning (e.g., profiling, memory optimization). Experience designing modular, testable codebases, using modern Python tooling and best practices (e.g., FastAPI, Pydantic, type hints, dependency injection, unit/integration testing frameworks). Interview Process: The vetting process involves a technical interview conducted by a human; you will not be allowed to use an AI IDE (Integrated Development Environment) but you will be allowed to use LLMs or Stack Overflow Here are more details about the role: You must be able to commit around 20 hours per week for this role This contract is expected to last at least 1 month Successful contributions increase the odds that you are selected on future projects with Mercor The vetting process involves a 90 minute human interview centered on Python - you will hear back within two weeks With respect to pay and legal status: This role will pay $100/h based on experience We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time. About Mercor Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

Mercor · United States

Location: United States Description Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. 1. Overview Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). This role involves AI model training and evaluation work, including writing and assessing MLOps tasks and solutions to generate high-quality training data for frontier AI systems. This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. This is a 40-hour full-time engagement, with no conflicts/no other engagements. 2. Key Responsibilities Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. Evaluate MLOps tasks and solutions and provide clear, written technical feedback. Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. Collaborate with other subject matter experts to ensure consistency and accuracy in training data. 3. Core Qualifications 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. Hands-on production experience with JAX and/or PyTorch at scale. Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton. Demonstrable career progression. Ability to engage reliably for at least 40 hours/week during weekdays. Strong written communication skills and the ability to explain complex technical decisions clearly. About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.