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Go Engineer - Codebase Expert - AI Trainer

Role overview

Qualifications

  • 3+ years of professional software engineering experience with substantial production Go.
  • Ability to navigate a large, unfamiliar Go codebase and explain runtime behavior.
  • Fluency in Go concurrency, interfaces, module boundaries, and the standard library.
  • Precise written English for crafting questions and rubrics.

Responsibilities

  • Select tasks from a pre-validated pool of Go repositories, each pinned to a specific git commit.
  • Explore the repository until you genuinely understand the subsystem in question.
  • Rewrite the task's question to challenge frontier coding agents while ensuring it remains well-defined.
  • Document your work in the task README and submit for expert review.

Key facts

Hard skills

Other skills

  • Writing

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

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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: Software Engineer, Go — Codebase Q&A
Type: Contract
Compensation: $130/hour
Location: Remote

Role Responsibilities

  • Select tasks from a pre-validated pool of Go 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 task's question to challenge frontier coding agents while ensuring it remains well-defined and fairly answerable.
  • Adjust rubrics and foils to 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 Go.
  • Ability to navigate a large, unfamiliar Go codebase and explain runtime behavior.
  • Fluency in Go concurrency, interfaces, module boundaries, and the standard library.
  • Precise written English for crafting questions and rubrics.
  • Comfortable with git at commit level, containerized environments, and command-line tooling.

Preferred

  • Experience with distributed systems, networking, storage engines, or Kubernetes-ecosystem tooling.

Application Process (Takes 20–30 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

  • 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: support@mercor.com

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



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Marcus Rivera

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