This job post has expired on July 15, 2026. It is likely that the position has already been filled.
Backend Engineer (Coding Agent) at Mercor
posted 3 months agoBackend Engineer – AI Coding Agent Evaluator | $85/hr | Worldwide Remote
Mercor is partnering with a leading AI research lab on a Frontier Code Agents project. In this role, you'll use and evaluate cutting-edge AI coding agents to assess and improve frontier AI models through structured technical assessments. This is sprint-based contract work — not traditional software development — focused on realistic engineering workflows and model evaluation.
Spots are limited and filling quickly on a first-come, first-served basis.
What You'll Do
- Use frontier AI coding agents to complete and evaluate complex engineering tasks.
- Review model-generated code for correctness, quality, maintainability, and performance.
- Identify bugs, edge cases, and failure modes in AI model outputs.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic backend engineering scenarios.
Compensation & Time Commitment
- $400 per accepted task — typical tasks take 1–3 hours after ramp-up.
- No fixed task limits; compensation is tied to accepted work.
- Sprint-based project running in 12–24 hour stretches based on client requirements.
Who Should Apply
- 2+ years of professional backend engineering experience.
- Hands-on experience with APIs, distributed systems, microservices, backend platforms, or databases.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to critically evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs.
- Experience with large-scale production systems is a strong plus.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.