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Software Engineer - AI Trainer

Role overview

Summary

This role focuses on enhancing AI model performance by guiding research and engineering teams. You will design tasks, evaluate solutions, and collaborate with experts to ensure the accuracy of training data at Mercor, which connects talent with leading AI research labs.

Qualifications

  • 4+ years of dedicated professional software engineering experience.
  • Strong production proficiency in Python plus at least one of Java, C++, Go, or Rust.
  • Hands-on experience with Git workflows, code review, automated testing, and CI.
  • Demonstrable career progression (e.g., Software Engineer → Senior Engineer → Staff or Tech Lead).
  • Strong written communication skills.

Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance.
  • Design challenging, domain-relevant tasks and write accurate solutions to software engineering problems.
  • Evaluate tasks and solutions, providing clear, written technical feedback.
  • Develop rubrics to assess code correctness, readability, test coverage, and design tradeoffs in model-generated code.

Key facts

Hard skills

Other skills

  • Communication

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
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.

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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 (Foundational)
Type: Contract
Compensation: $80–$120/hour
Location: Remote

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in software engineering, algorithms, and data structures.
  • Design challenging, domain-relevant tasks and write accurate solutions to software engineering problems.
  • Evaluate tasks and solutions, providing clear, written technical feedback.
  • Write, review, and debug realistic multi-file coding tasks, including unit tests and reference solutions.
  • Develop rubrics to assess code correctness, readability, test coverage, and design tradeoffs in model-generated code.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 4+ years of dedicated professional software engineering experience.
  • Strong production proficiency in Python plus at least one of Java, C++, Go, or Rust.
  • Hands-on experience with Git workflows, code review, automated testing, and CI.
  • Demonstrable career progression (e.g., Software Engineer → Senior Engineer → Staff or Tech Lead).
  • Ability to engage reliably for at least 20 hours/week during weekdays.
  • Strong written communication skills.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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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