--- title: Research Engineer, Intern Benchmarking at Mercor description: Mercor is hiring for the Research Engineer, Intern Benchmarking role in San Francisco, CA. See the full description and apply. type: job url: https://www.foundrole.com/jobs/research-engineer-intern-benchmarking-at-mercor-01a17fd8-4b52-7853-90d1-0a9912c403d8 date: 2026-10-28T01:16:30Z og_description: Join Mercor as Research Engineer, Intern Benchmarking in San Francisco, CA. Pays $180K–$500K per year. Intern, on-site role. og_image: https://www.foundrole.com/og/9tqb04.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Mercor](https://www.foundrole.com/companies/mercor?utm_source=ai_markdown) | | **Location** | San Francisco, CA | | **Salary** | $70/hr | | **Type** | Intern | | **Posted** | Oct 27, 2026 | ## Is this job real? **Ghost job check:** B · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Mercor sponsors H-1B visas. It filed 56 H-1B petitions (FY2025 Q4 – FY2026 Q3). - **E-Verify:** No E-Verify enrollment on record for Mercor. ## Pay for similar jobs Most similar jobs pay $69,000 – $206,000 a year (median $80,000). ## Description # **About Mercor** Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.   Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ## **About the Role** As a Research Engineer at Mercor, you’ll work at the intersection of engineering and applied AI research. You’ll own benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will define how we measure tool use, agentic behavior, and real-world reasoning. You’ll design and run evals, build rubrics and scorers, and turn failure analysis into actionable improvements for post-training, RLVR, and data pipelines. ## **What You’ll Do** - Benchmarking: Design, implement, and maintain benchmarks and metrics for tool use, agentic behavior, and real-world reasoning; ensure benchmarks scale with training and stay aligned with product and research goals. - Evaluation systems: Build and operate LLM evaluation systems end-to-end runs, scoring, dashboards, and reporting, so researchers and applied AI teams can track model performance and compare runs at scale. - Failure analysis: Run systematic failure analysis on model outputs (e.g., wrong tool use, reasoning errors, safety/alignment issues); categorize failure modes, quantify prevalence, and feed findings into reward design, data curation, and benchmark design. - Rubrics and evaluators: Create and refine rubrics, automated evaluators, and scoring frameworks that drive training and evaluation decisions; balance rigor with scalability (human vs. model-as-judge, calibration, agreement). - Data quality and usability: Quantify data usability, quality, and impact on key benchmarks; use evals and failure analysis to guide data generation, augmentation, and curation. - Cross-team collaboration: Work with AI researchers, applied AI teams, and data producers to align evals with training objectives and to prioritize benchmarks and failure analyses that matter most. - Ownership in a fast-paced environment: Operate in a high-iteration research setting with strong ownership of benchmarks, evals, and failure-analysis workflows. ## **What We’re Looking For** - Strong applied research background, with focus on model evaluation, benchmarking, and/or failure analysis. - Strong coding skills and hands-on experience with ML models and evaluation code. - Solid grasp of data structures, algorithms, and backend systems. - Comfort with APIs, SQL/NoSQL, and cloud platforms for running and storing eval results. - Ability to reason about model behavior, experimental results, and data quality from evals and failure analyses. - Excitement to work in person in San Francisco five days a week in a high-intensity, high-ownership environment. ## **Nice To Have** - Industry experience on a post-training or evaluation/benchmarking team (highest priority). - Publications at top-tier venues (NeurIPS, ICML, ACL), especially in evaluation or benchmarking. - Experience building or running LLM evaluations, benchmarks, or failure-analysis pipelines. - Experience with synthetic data generation, rubric design, or RL-style workflows that use evals for reward shaping. - Work samples or code (e.g., eval frameworks, benchmark suites, failure-analysis reports or tooling) that demonstrate relevant skills. ## **Benefits** - $1.5K monthly stipend for meals - Free Equinox membership - $200 monthly laundry reimbursement - $200 monthly personal wellness reimbursement   ## Skills - Cloud Computing - Balance Sheet - NoSQL - Synthetic Data Generation - Usability - Applied Research - Calibration - AI Evaluation - Cross-Functional Collaboration - Applied AI - Algorithms - Model Evaluation (Machine Learning) - SQL - Rubric Design - Scalability - Benchmarking - LLM Evals - Reinforcement Learning from Human Feedback (Rlhf) - Computer Programming - Large Language Models (Llm) - Tool Calling - Access Control Lists - Data Quality - Reinforcement Learning - Data Structures - Assessment Rubric Development - Machine Learning - Curation - Failure Mode and Effects Analysis (Fmea) ## Related - [More jobs at Mercor](https://www.foundrole.com/companies/mercor?utm_source=ai_markdown) - [Science & Research jobs](https://www.foundrole.com/careers/science-and-research?utm_source=ai_markdown)- [Research & Development jobs](https://www.foundrole.com/careers/science-and-research/research-and-development?utm_source=ai_markdown)- [Researcher / Research Associate jobs](https://www.foundrole.com/careers/science-and-research/research-and-development/researcher-research-associate?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 280179 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 28725 jobs - [Human Resources Services](https://www.foundrole.com/sectors/staffing-and-recruiting/human-resources-services?utm_source=ai_markdown) — 12479 jobs - [Mercor](https://www.foundrole.com/companies/mercor?utm_source=ai_markdown) — 113 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 280179 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 28725 jobs - [Human Resources Services](https://www.foundrole.com/sectors/staffing-and-recruiting/human-resources-services?utm_source=ai_markdown) — 12479 jobs - [Mercor](https://www.foundrole.com/companies/mercor?utm_source=ai_markdown) — 113 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)