JavaScript QA Lead - Remote

Key Responsibilities

• Spot-check JavaScript items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Evaluate AI-generated JavaScript code, debugging responses, implementation explanations, algorithmic solutions, frontend/backend snippets, tests, and step-by-step reasoning for correctness and clarity.
• Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and JavaScript-specific review standards.
• Respond to trainer/QA questions clearly and promptly, especially around JavaScript behavior, async logic, browser vs Node.js environments, frameworks, package usage, testing, edge cases, and rubric interpretation.
• DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Create and maintain JavaScript project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and JavaScript-specific review requirements.
• Ensure all trainers and QAs apply JavaScript review guidelines consistently and understand updates as projects evolve.
• Flag unsafe, misleading, insecure, or overconfident code recommendations, especially around injection risks, dependency usage, authentication, browser security, data handling, and production readiness.
• Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for JavaScript AI training projects.

About the role

In this hourly, remote contractor role, you will work as a JavaScript Quality Assurance Lead to oversee quality, consistency, and trainer performance across JavaScript AI training projects. You will review AI-generated JavaScript code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.