Software Engineer Remote Part-Time @ Call For Referral
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Job Details
About the Role
A leading AI research initiative is seeking experienced Software Engineers to collaborate on a frontier project developing robust, high-performance systems for next-generation machine learning applications. In this part-time, remote role, you’ll leverage coding agents (e.g., Codex, Claude Code, or similar) to complete realistic engineering tasks on production-grade codebases. You’ll contribute to evaluating, improving, and scaling intelligent code-generation systems designed to transform the software development process.
Key Responsibilities
- Perform complex, real-world coding tasks using AI coding agents.
- Build, debug, and refactor production-level code in Rust, JavaScript/TypeScript, or Python.
- Review and validate AI-generated code for accuracy and performance.
- Contribute to benchmarking efforts for AI-driven programming tools.
- Collaborate asynchronously with researchers and engineers on coding workflows.
Ideal Qualifications
- Fluency in at least one of: Rust, JavaScript/TypeScript, or Python.
- Experience using AI-assisted coding tools (e.g., GitHub Copilot, Codex, Claude Code).
- History of open-source contributions or large-scale projects.
- Degree in Computer Science or Software Engineering from a recognized institution.
- Strong debugging skills, attention to detail, and excellent communication.
- Must be currently based in the U.S., Canada, U.K., Australia, or New Zealand.
Role Highlights
This part-time role involves 10–20 hours per week (potentially extending to 40 hours), fully remote and asynchronous work, a minimum duration of 2 weeks with a possibility for extension, and a start date in early October. Compensation is based on an hourly rate of $70–$90 USD with payments made weekly via Stripe Connect.
Key skills/competency
- Rust
- JavaScript
- TypeScript
- Python
- AI Coding
- Debugging
- Benchmarking
- Asynchronous
- Open-source
- Production-grade
How to Get Hired at Call For Referral
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant AI and coding experience.
- Demonstrate technical skills: Showcase open-source projects and debugging examples.
- Research Call For Referral: Understand their AI initiatives and core values.
- Prepare for asynchronous interviews: Be ready to discuss past projects and challenges.