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Python Engineer Codebase Specialist

Mercor


Job Location:

Lagos - Nigeria

Monthly Salary: Not provided by the employer
Posted: 12 September 2026 (17 hours ago)
Application Deadline: 10 December 2026
Vacancies: 1 Vacancy

Job Summary

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 DAngelo Larry Summers and Jack Dorsey.

Position: Software Engineer Python Codebase Q&A
Type: Contract
Compensation: $130 per approved task
Location: Remote

Role Responsibilities

  • Select tasks from a pre-validated pool of Python repositories each pinned to a specific git commit and arriving with an engineering question positive and negative rubrics foils and a golden solution.
  • Explore the repository until you genuinely understand the subsystem in question including the relevant PR or issue history.
  • Rewrite the tasks question so it defeats frontier coding agents while remaining well-defined and fairly answerable.
  • Adjust rubrics and foils so they reward correct reasoning and reject plausible-but-wrong answers.
  • Run the full validation loop in Studio Check Golden Run Analyze and iterate until every stage passes.
  • Document your work in the task README and submit for expert review addressing reviewer feedback on returned tasks.

Qualifications

Must-Have

  • 3 years of professional software engineering experience with substantial production Python.
  • Demonstrated ability to navigate a large unfamiliar Python codebase and explain how it behaves at runtime.
  • Fluency in Python internals that matter in real systems: import machinery descriptors and metaclasses async and event loops packaging and C-extension boundaries.
  • Precise written English: the questions and rubrics you write are the product.
  • Comfortable with git at commit level containerized environments and command-line tooling.

Preferred

  • Experience with web frameworks developer tooling type checkers or scientific/numeric libraries is highly relevant.

Compensation & Legal

  • Payment is per approved task; every task is reviewed by a second engineer and a super reviewer before acceptance.

Application Process (Takes 2030 mins to complete)

  • Submit your resume or relevant technical background to get started.
  • Qualified applicants may be asked to complete a brief technical assessment or provide additional information.

Resources & Support

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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.