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Software Engineering Expert - Fully Remote | Up to $180/hr

Role overview

Qualifications

  • 4+ years of professional software engineering experience at leading technology, quantitative, or financial firms.
  • Strong command of at least one major language like Python, Java, C++, Go, TypeScript, or Rust.
  • Proven ability to work in large, complex production codebases and judge code quality.
  • Excellent written English for explaining technical decisions and trade-offs.

Responsibilities

  • Design realistic, challenging software engineering tasks from real-world work.
  • Write clear task proposals explaining task realism, verification, and challenges for current AI models.
  • Illustrate 'what good looks like' with reference solutions, tests, and criteria covering correctness, architecture, maintainability, style, and scope.
  • Assess AI-generated code and engineering work, collaborating with AI coding agents to evaluate success and failure.

Key facts

  • Remote from: Canada, North America
  • Part time
  • Mid-level (2-5 years)
  • HR Development Manager
  • English

Hard skills

Other skills

  • Communication
  • Detail Oriented
  • Collaboration

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: Senior Software Engineering Experts
Type: Contract
Compensation: $120–$180/hour
Location: Remote

Role Responsibilities

  • Design realistic, challenging software engineering tasks from real-world work. Tasks include feature changes, debugging, root-cause analysis, code review, system design, and technical documentation.
  • Write clear task proposals explaining task realism, verification, and challenges for current AI models.
  • Illustrate "what good looks like" with reference solutions, tests, and criteria covering correctness, architecture, maintainability, style, and scope.
  • Assess AI-generated code and engineering work, collaborating with AI coding agents to evaluate success and failure.
  • Apply consistent, evidence-based judgment for reproducible and defensible assessments.
  • Take structured feedback from senior reviewers and iterate on submitted work.

Qualifications

Must-Have

  • 4+ years of professional software engineering experience at leading technology, quantitative, or financial firms.
  • Strong command of at least one major language like Python, Java, C++, Go, TypeScript, or Rust.
  • Proven ability to work in large, complex production codebases and judge code quality.
  • Excellent written English for explaining technical decisions and trade-offs.
  • Bachelor's degree from an English-speaking country.
  • Detail-oriented and consistent in evaluating complex work.
  • Comfortable receiving feedback and calibrating judgment against set standards.

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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