TypeScript Quality Assurance Lead

You will lead quality reviews for TypeScript AI training projects. The work combines detailed code evaluation, written feedback, trainer support, documentation, and coordination across remote contributors.

• Review AI-generated TypeScript code, type definitions, debugging responses, implementation explanations, frontend and backend snippets, tests, and step-by-step reasoning.
• Check type safety, runtime behavior, logic, asynchronous behavior, edge cases, security risks, readability, maintainability, performance, formatting, test coverage, and rubric adherence.
• Evaluate work against project guidelines and project-specific rubrics, then provide clear written technical feedback.
• Monitor quality, escalate recurring or critical issues, and help improve consistency across trainers and quality reviewers.
• Communicate project updates, workflow changes, and review standards to remote contributors.
• Support onboarding, documentation, FAQs, trackers, examples, calibration tasks, and other quality materials.
• Help identify inactive contributors, track follow-ups, and strengthen quality operations as projects change.

What it pays and takes

This is a remote, part-time contractor role for an experienced TypeScript professional who can combine engineering judgment with careful evaluation and team support.

• Pay: Up to $70 per hour.
• Time: 20+ hours per week.
• Location: Open to candidates in the United States.
• Strong TypeScript development experience, with practical knowledge of JavaScript runtime behavior and Node.js.
• Experience with code review, software quality assurance, technical mentoring, or related engineering workflows.
• Strong English communication skills for clear technical feedback and team coordination.
• Ability to judge type safety, logic correctness, asynchronous behavior, edge cases, security risks, and maintainability.
• Familiarity with AI training, prompt or response evaluation, and rubric-based review is a plus.
• Experience coordinating remote teams, documentation, and quality processes is strongly preferred.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human review to help improve systems that generate code and other responses. Experienced reviewers are needed to judge whether outputs are accurate, useful, safe, and clearly explained.