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• Work as a JavaScript Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across JavaScript AI training projects. • Review AI-generated JavaScript code and trainer/QA work. • Evaluate output quality against project guidelines and provide precise written feedback. • Ensure all contributors follow the expected quality standards. • Spot-check JavaScript items, identify quality issues, and provide ongoing feedback through DMs. • Communicate updates to trainers and QAs, and support onboarding. • Maintain documentation and help activate contributors who are not working consistently. • 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.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a closely related field; equivalent professional software engineering experience may be considered. • Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear technical feedback in English. • 3+ years of professional experience in JavaScript development, frontend engineering, backend development with Node.js, full-stack engineering, code review, software QA, technical mentoring, or related workflows. • Strong understanding of core JavaScript concepts such as closures, scope, hoisting, prototypes, promises, async/await, event loop, modules, DOM manipulation, error handling, data structures, and modern ECMAScript features. • Ability to evaluate JavaScript content against detailed rubrics and identify issues such as incorrect logic, non-executable code, flawed reasoning, missing edge cases, poor async handling, security risks, performance problems, hallucinated APIs, or incomplete explanations. • Familiarity with common JavaScript ecosystems and tools such as Node.js, npm/yarn/pnpm, React, Vue, Express, Jest, Mocha, Playwright, ESLint, Prettier, Vite, Webpack, Babel, or browser developer tools is preferred. • Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, coding mentors, or QAs is strongly preferred. • Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. • Experience with AI training, data annotation, large language models, prompt/response evaluation, code content QA, or rubric-based LLM evaluation is a strong plus.
• 💰 Up to $70/hour • 🌍 Remote • 👥 200+ Openings • Be a part of a forward-thinking team and help us train AI to communicate more effectively. • Your Schedule, Your Rules • Set your own hours and work around your life. • Weekly Pay • Receive fast, reliable payments once work is approved. • Community Rewards • Get rewarded for referrals with ongoing bonus income.
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