Backend Developer - Fully Remote | Upto $85/hr

mercor

Deutschland

Remote

EUR 96,000 - 138,000

Full time

9 days ago
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Job summary

mercor is seeking a Backend Engineer (Coding Agent Experience) for a remote contract position. You will use frontier AI coding agents to tackle complex backend tasks, review model-generated code, and ensure quality and performance.

The role requires hands-on experience with APIs, distributed systems, and microservices. Candidates should be proficient at evaluating model outputs, identifying bugs, and making architectural trade-offs, working independently to meet deadlines while contributing to

Qualifications

  • 2+ years of professional backend engineering experience.
  • Experience with APIs, distributed systems, or microservices.
  • Experience evaluating model-generated code and bugs.

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.

Skills

Backend engineering
APIs
Distributed systems
Microservices
AI coding agents

Tools

Cursor
Claude Code
Codex
Windsurf
Gemini CLI

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

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.
Qualifications
  • 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.
Preferred
  • Experience working on large-scale production systems.
Compensation & Legal
  • $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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