9 hours ago
Remote, IndiaSenior
Base Salary
$80k - $150k/yr
Responsibilities
- Build high-fidelity applications that reproduce professional software workflows end to end.
- Build tool APIs, MCP servers, containerized computer-use systems, and infrastructure connecting environments to AI agents.
- Design and calibrate realistic tasks, analyze rollouts, tune difficulty, and diagnose failures.
- Build schemas, large corpora, anonymization pipelines, and fast search and loading systems.
- Improve shared automation, QA systems, deployment tooling, and engineering workflows.
- Own production software from initial specification through implementation, testing, and delivery.
Requirements
- Strong Python skills with breadth across backend, frontend, data, and infrastructure.
- Experience owning technically substantial projects, preferably from an early stage through production.
- Clear, structured communication and the ability to explain complex systems.
- Strong technical depth and understanding of system interactions and failure modes.
- Sound judgment about architecture, tradeoffs, testing, reliability, and scope.
- Comfort working with changing requirements, close deadlines, and unfamiliar problem spaces.
Benefits
- Mercor equity and benefits are provided.
- The role is remote in India with time overlap with New York.
- Mercor's broader team works in person five days a week in San Francisco, New York City, or London offices.
- The take-home hackathon is expected to take 6 to 8 hours, with a maximum of 8 hours.
Tech Stack
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.