2 hours ago
Base Salary
$130k - $500k/yr
Responsibilities
- Partner with frontier AI labs to understand data, post-training, and evaluation needs.
- Build and operate scalable data pipelines for post-training workflows and model evaluations.
- Design systems for synthetic data generation and data quality.
- Prototype new data types, benchmarks, and evaluation frameworks.
- Work directly with customers to gather requirements and develop technical solutions.
- Lead technical discussions with customers and own projects from requirements through production delivery.
Requirements
- Strong backend engineering fundamentals in a modern language such as Python, Go, or Rust.
- Experience with model training and inference.
- Strong grounding in statistical analysis and experimental design for measuring model performance and improvements.
- Familiarity with evaluation methods for large language models.
- Ability to work through ambiguity, ship iteratively, and balance speed with engineering rigor.
- Clear communication with technical and non-technical users and comfort with customer-facing problem solving.
Benefits
- In-person work five days per week in San Francisco, New York City, or London offices.
- Bi-annual performance bonus structure and equity grant.
- Relocation support and proximity bonus.
- Monthly meal, laundry, and personal wellness benefits.
- Free Equinox membership.
- Health, dental, and vision insurance.
Categories
About Mercor
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.