Remote Ruby Engineer

About the role

Turing is building large‑language‑model (LLM) evaluation and training datasets focused on realistic software‑engineering problems. We need an experienced Ruby engineer to help create verifiable software‑engineering tasks from public GitHub repositories and assess LLM performance on them.

Key responsibilities

• Analyze and triage GitHub issues across trending open‑source libraries.
• Set up and configure code repositories, including Dockerization and environment preparation.
• Evaluate unit‑test coverage and overall code quality.
• Modify and run codebases locally to benchmark LLM bug‑fixing capabilities.
• Collaborate with AI researchers to select challenging repositories and issues.
• Lead and mentor junior engineers on related projects.

Required profile

• Minimum 3 + years of professional software‑engineering experience.
• Tech‑lead level competence with complex codebases.
• Strong familiarity with public GitHub repositories and open‑source contribution workflows.
• Ability to work independently in a fully remote environment.

Required skills

• Ruby (primary programming language).
• Git version control.
• Docker for containerization and environment setup.

What we offer

• Fully remote, flexible schedule (20–40 hours/week with a 4‑hour PST overlap).
• Opportunity to work on cutting‑edge AI projects with leading LLM companies.
• Freelance contract with competitive compensation.