AI Engineer Freelance
@ Call For Referral

Hybrid
$83,200
Hybrid
Part Time
Posted 1 day ago

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Job Details

About the Role

The AI Engineer Freelance role at Call For Referral is part-time, remote, and focused on leveraging AI coding agents to complete realistic engineering tasks on production-grade codebases. You will work with Rust, JavaScript/TypeScript, or Python to build, debug, and refactor production-level code while contributing to benchmarking and scaling next-generation machine learning applications.

Key Responsibilities

  • Perform complex, real-world coding tasks using AI coding agents.
  • Build, debug, and refactor production-level code across chosen languages.
  • Review and validate AI-generated code for accuracy and performance.
  • Contribute to benchmarking of AI-driven programming tools.
  • Collaborate asynchronously with researchers and engineers.

Ideal Qualifications

  • Fluency in Rust, JavaScript/TypeScript, or Python.
  • Proven experience using AI-assisted coding tools like GitHub Copilot, Codex, or Claude Code.
  • Experience with open-source or large-scale personal projects, accessible on GitHub.
  • Degree in Computer Science or Software Engineering from a top institution.
  • Strong debugging skills, attention to detail, and excellent communication.
  • Must be based in the U.S., Canada, U.K., Australia, or New Zealand.

Role Highlights

  • Part-time commitment: 10–20 hours per week, extendable to 40 hours.
  • Fully remote and asynchronous work schedule.
  • Short-term assignment starting early October with potential extensions.
  • Competitive hourly rate of $70–$90 USD with weekly payments via Stripe Connect.

Key Skills/Competency

Rust, JavaScript, TypeScript, Python, AI coding, debugging, benchmarking, asynchronous, production code, GitHub Copilot

How to Get Hired at Call For Referral

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant AI coding projects and tech skills.
  • Prepare application: Tailor your cover letter to Call For Referral's requirements.
  • Showcase work: Include links to GitHub or open-source contributions.
  • Practice interview: Focus on debugging and problem-solving examples.

📝 Interview Preparation Advice

Technical Preparation

Review AI coding tool documentation.
Practice debugging in Rust and Python.
Experiment with asynchronous coding projects.
Study production-grade code refactoring methods.

Behavioral Questions

Describe teamwork in remote settings.
Explain adapting to asynchronous schedules.
Discuss problem-solving in coding challenges.
Share past experience managing remote tasks.

Frequently Asked Questions