# Research Engineer - Environments, Data and Post-Training at Mercor

- Company: Mercor
- What the company does: Mercor is organizing human intelligence to power the AI economy. We are powering frontier research, AI benchmarks, and AI agent training at scale for the top AI labs and enterprises. Backed by General Catalyst and Menlo.
- Company website: https://mercor.com/
- Type: Startups
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $250K to $500K base salary per year (USD)
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://jobs.ashbyhq.com/mercor/1dcab154-b92d-4a5f-aed5-b1b8c049cdbc
- Page: https://www.1752.vc/careers/jobs/mercor-research-engineer-environments-data-and-post-training/

## About the role

As a Research Scientist at Mercor, you will work at the intersection of research and engineering on frontier post-training. You will develop new training and evaluation methods, test them through rigorous experiments, and implement successful approaches at scale.

## What they're looking for

- Demonstrated experience training and evaluating machine learning models
- A strong research record in post-training, reinforcement learning, language-model evaluation, data-centric ML, or a closely related field
- Ability to reason rigorously about model behavior, experimental results, and data quality
- Strong programming skills and experience implementing machine learning systems
- Knowledge of the current AI research landscape and important open problems
- Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays), and thrive in a high-intensity, high-ownership environment

Tags: Research