Remote Tech Lead Go Engineer for AI Code Evaluation

turing; United States; Remote; USD 60,000 - 140,000; Full time

Benefits offered by this job

Fully remote environment

Flexible hours

Job summary

Turing is seeking experienced software engineers (tech lead level) to help build LLM evaluation datasets from public GitHub histories. You will lead hands-on work, automate environments with Docker, triage issues, and assess test coverage. The role involves running code locally to gauge LLM performance and collaborating with researchers on challenging repositories.

Remote, with opportunities to lead a team of junior engineers on cutting-edge AI projects and developer tools tasks.

Qualifications

• Minimum 3+ years of overall engineering experience.
• Proficiency with Go, Git, and Docker.
• Ability to understand and navigate complex codebases.
• Experience contributing to or evaluating open-source projects is a plus.

Responsibilities

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluate unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design repositories and issues challenging for LLMs.
• Opportunity to lead a team of junior engineers on projects.

Skills

Go

Git

Docker

Software pipelines

Codebase navigation

Local testing

Tools

Git

Docker

Job description

Turing is seeking experienced software engineers (tech lead level) to help build LLM evaluation datasets from public GitHub histories. You will lead hands-on work, automate environments with Docker, triage issues, and assess test coverage. The role involves running code locally to gauge LLM performance and collaborating with researchers on challenging repositories.

Remote, with opportunities to lead a team of junior engineers on cutting-edge AI projects and developer tools tasks.