Member of Technical Staff, Deeptune Environments
Mercor · New York City
CHECKED 50M AGO
Applied AIonsite$160k–$500k
At a glance
Highlights
- Build high-fidelity simulation environments used to train AI agents.
- Design grading and verification layers that judge real agent success.
- Turn raw human demonstrations into reproducible training environments.
What they offer
- Equity
Ideal candidate
A high-ownership generalist engineer who thrives in ambiguity and treats building as craft. Motivated by frontier tech impact and partnering directly with researchers and AI labs.
Requirements
- 2+ years of full-stack/backend engineering, including 1+ year at a startup
- Strong generalist with systems depth, fluent in at least one language
- Working knowledge of post-training, evals, and reward modeling to partner with researchers
- Thrives in ambiguity and ships without a handed spec
- Raises the bar through coaching while staying hands-on in code
- 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