AI Summary
Mercor is seeking a skilled Backend Engineer to work with frontier AI coding agents. The successful candidate will review model-generated code, identify bugs, and apply professional engineering judgment. The ideal candidate has 2+ years of professional backend engineering experience and experience with AI coding agents.
Key Highlights
Use frontier AI coding agents to complete complex engineering tasks
Review model-generated code for correctness and quality
Apply professional engineering judgment to realistic backend engineering scenarios
Key Responsibilities
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 model outputs
Compare outputs from multiple frontier models and assess their strengths and weaknesses
Apply professional engineering judgment to realistic backend engineering scenarios
Work independently and asynchronously to meet deadlines while improving AI model performance
Technical Skills Required
Benefits & Perks
$85/hour compensation
Remote work
$400 per accepted task
Nice to Have
Experience working on large-scale production systems
Job Description
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Backend Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote
Role Responsibilities
- 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 model outputs.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic backend engineering scenarios.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
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Must-Have
- 2+ years of professional backend engineering experience.
- Experience building 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 evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs.
- Experience working on large-scale production systems.
- $400 per accepted task.
- Typical tasks take approximately 1–3 hours after ramp-up.
- No fixed task limits.
- Compensation is tied to accepted work.
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- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
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