Software Engineer-AI

MERCOR

Mercor is seeking talented Software Engineers with experience working across multiple programming languages and a strong command of real-world debugging workflows. In this role, you will analyze actual GitHub issues and pull requests to author high-quality bug-fix tasks that reflect the complexity and realism of modern software development.

Each task will be drawn from authentic development activity and will require a clear demonstration of a semantic bug, its minimal reproducible context, and a valid test-backed resolution. These tasks will support both evaluation and training of AI systems, particularly those designed to reason about and fix code across diverse language ecosystems.

You are a good fit if you

  • Have proficiency in at least 1 of the following languages: C, C++, Go, Java, JavaScript, TypeScript, PHP, Ruby, Rust
  • Experience contributing to or maintaining open-source projects involving real-world bug fixes
  • Have experience with large-scale codebases and collaborative development via Git/GitHub
  • Have demonstrated expertise in debugging, testing, and patch-based software fixes
  • Have familiarity with CI/CD pipelines, unit and integration testing practices
  • Have ability to read, interpret, and triage real-world issue reports and pull requests
  • Are based out of the US, Canada, UK, Australia, NZ

Role Highlights

  • Flexible workload: 10–20 hours per week, with potential to increase to 40 hours.
  • Fully remote and asynchronous—work on your own schedule.
  • Minimum duration: 1–2 months, with potential for extension.

Role Start Date

  • This role will begin in mid to late-August with applications reviewed on a rolling basis.

Compensation and Legal Details

  • You will be legally classified as an hourly contractor for Mercor
  • We will pay you out at the end of each week via Stripe Connect

About Mercor

Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Apply today and redefine digital creativity alongside groundbreaking AI technologies!

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Link to Apply: https://work.mercor.com/jobs/list_AAABmGxzElC4W2rhJlZPzLxC?referralCode=7274f6a2-452a-42f4-a201-5eb441f22701&utm_source=referral&utm_medium=share&utm_campaign=job_referral

Job Type: Contract

Pay: $75.00 - $100.00 per hour

Expected hours: No less than 10 per week

Work Location: Remote

Qualifications

  • Have proficiency in at least 1 of the following languages: C, C++, Go, Java, JavaScript, TypeScript, PHP, Ruby, Rust
  • Experience contributing to or maintaining open-source projects involving real-world bug fixes
  • Have experience with large-scale codebases and collaborative development via Git/GitHub
  • Have demonstrated expertise in debugging, testing, and patch-based software fixes
  • Have familiarity with CI/CD pipelines, unit and integration testing practices
  • Have ability to read, interpret, and triage real-world issue reports and pull requests
  • Are based out of the US, Canada, UK, Australia, NZ
  • Minimum duration: 1–2 months, with potential for extension

Benefits

  • Fully remote and asynchronous—work on your own schedule
  • You will be legally classified as an hourly contractor for Mercor
  • We will pay you out at the end of each week via Stripe Connect
  • Pay: $75.00 - $100.00 per hour
  • Expected hours: No less than 10 per week

Responsibilities

  • In this role, you will analyze actual GitHub issues and pull requests to author high-quality bug-fix tasks that reflect the complexity and realism of modern software development
  • Each task will be drawn from authentic development activity and will require a clear demonstration of a semantic bug, its minimal reproducible context, and a valid test-backed resolution
  • These tasks will support both evaluation and training of AI systems, particularly those designed to reason about and fix code across diverse language ecosystems
  • Flexible workload: 10–20 hours per week, with potential to increase to 40 hours
  • This role will begin in mid to late-August with applications reviewed on a rolling basis

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