JavaScript Team Lead, AI Training QA

As a JavaScript Team Lead, you will review AI-generated code and trainer and QA submissions for technical quality. You will assess whether solutions are correct, executable, clear, secure, maintainable, and aligned with project instructions and rubrics.

You will also identify recurring quality problems, share precise written feedback, maintain project resources, and support remote contributors and workflow updates.

• Review JavaScript code, debugging responses, implementation explanations, algorithmic solutions, frontend and backend snippets, tests, and step-by-step reasoning.
• Evaluate trainer and QA submissions against project guidelines and project-specific rubrics.
• Check code correctness, async logic, browser and Node.js differences, security, performance, readability, edge cases, and test coverage.
• Identify incorrect logic, non-executable code, insecure recommendations, incomplete explanations, formatting issues, and instruction-following problems.
• Maintain style guides, trackers, FAQs, honeypots, calibration tasks, onboarding materials, and other quality documentation.
• Communicate recurring issue patterns and workflow changes to trainers and QAs.
• Support onboarding and training for remote contributors and help keep contributor activity aligned with project needs.

This is an intermediate-level, part-time contractor role for candidates in the United States. Strong written English is required for technical feedback and coordination.

• Pay: $70 per hour.
• Time: 20+ hours per week.
• Work setup: Remote.
• Location: Open to candidates in the United States.
• Required experience: Professional experience in JavaScript development, code review, software QA, technical mentoring, or related work.
• JavaScript knowledge: Closures, scope, hoisting, prototypes, promises, async and await, event loop behavior, modules, DOM manipulation, and error handling.
• Tools and environments: Node.js, React, Vue, Express, Jest, Mocha, Playwright, ESLint, Prettier, GitHub, and project trackers.
• Communication: Strong English skills for written technical feedback and team coordination.
• Helpful background: Leading or supporting remote teams of trainers, reviewers, engineers, technical writers, or QAs.
• Helpful background: AI training, data annotation, prompt or response evaluation, code content QA, rubric-based language model evaluation, calibration tasks, documentation standards, or workflow quality processes.

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

OpenTrain is where people find AI training and data-labeling projects, build a profile, and apply in minutes. AI training is the human work behind modern AI, including reviewing code and model responses; experienced technical contributors are needed to judge quality and improve how these systems behave.