JavaScript QA Lead - Remote

Role Overview

JavaScript Quality Assurance (QA) Lead — Remote

• Job type: Contract (hourly)
• Focus: Oversee quality, consistency, and trainer/QA performance across JavaScript AI training projects.
• Note: No immediate project available; selected experts are contacted when relevant opportunities arise.

Responsibilities

• Review AI-generated JavaScript code and trainer/QA work against detailed project guidelines and rubrics.
• Evaluate quality across:
  • Correctness and reasoning quality
  • Runtime behavior and debugging accuracy
  • Readability, maintainability, formatting, and instruction-following
  • Performance, security awareness, and test coverage
  • Adherence to project-specific scoring criteria
• Provide precise written feedback to trainers, QAs, and contributors.
• Spot recurring quality issues and communicate updates/workflows to remote teams.
• Support onboarding, maintain documentation (style guides, FAQs, trackers, onboarding materials), and help activate contributors not working consistently.

Requirements

• Strong English communication skills for following guidelines and writing clear technical feedback.
• 3+ years of professional experience in JavaScript development / frontend / backend (Node.js) / full-stack / code review / software QA / technical mentoring (or related workflows).
• Deep knowledge of core JavaScript concepts, including:
  • Closures, scope, hoisting, prototypes
  • Promises, async/await, event loop
  • Modules, DOM manipulation, error handling
  • Data structures and modern ECMAScript
• Ability to judge JavaScript against detailed rubrics, including detecting:
  • Non-executable code, incorrect logic, flawed reasoning
  • Missing edge cases, poor async handling
  • Security risks, performance issues
  • Hallucinated APIs and incomplete explanations
• Comfort working with remote quality workflows and tooling.

Preferred / Nice to Have

• Familiarity with common JavaScript ecosystems/tools, such as:
  • Node.js, npm/yarn/ppnpm, React, Vue, Express
  • Jest, Mocha, Playwright, ESLint, Prettier, Vite, Webpack, Babel
  • Browser developer tools
• Experience leading/supporting remote teams (trainers, annotators, reviewers, engineers, technical writers, coding mentors, QAs).
• Experience with AI training and evaluation (LLM rubric-based evaluation, prompt/response evaluation, code-content QA, data annotation).

Selection Process

• AI interview
• Domain-specific task
• Interview with a recruiter