Research Engineer Intern - Environments, Data and Post-Training
Mercor · San Francisco
Applied AIonsiteintern$146k
At a glance
Highlights
- Work on post-training and RLVR pipelines impacting frontier language models.
- Design reward-shaping experiments to improve LLM tool-use and reasoning.
- Build scalable data generation, evaluation systems and benchmarks.
What they offer
- Health benefits eligible at 30+ hours a week
- $1.5K monthly stipend for meals
- Relocation & housing support
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
Ideal candidate
Applied researcher who loves fast experimental iteration on post-training and evaluations. Thrives with high ownership in intense in-person teams and cares about pushing frontier models to master real-world reasoning.
Requirements
- Strong applied research background, with a focus on post-training and/or model evaluation
- Strong coding proficiency and hands-on experience working with machine learning models
- Strong understanding of data structures, algorithms, backend systems, and core engineering fundamentals
- Familiarity with APIs, SQL/NoSQL databases, and cloud platforms
- Ability to reason deeply about model behavior, experimental results, and data quality
- remote policy
- In-person 5 days a week
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts
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