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Node.js Lead
Location
United States
Posted
4 days ago
Salary
$70 / hour
Seniority
Lead
Job Description
Node.js Lead
The Blond HR
Role Description This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your JavaScript quality leadership will directly help improve the world’s premier AI models by ensuring that JavaScript training data is accurate, executable, logically sound, clearly explained, well-documented, and aligned with client expectations. In this hourly, remote contractor role, you will work as a JavaScript Quality Assurance Lead (QAL) 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. - Ensure that all contributors follow the expected quality standards. - Assess work for code correctness, reasoning quality, runtime behavior, debugging accuracy, readability, maintainability, performance, security awareness, test coverage, formatting, instruction-following, and adherence to project-specific rubrics. - Spot recurring quality issues and communicate updates to trainers and QAs. - Support onboarding, maintain documentation, and help activate contributors who are not working consistently. Quality monitoring includes: - Spot-checking JavaScript items and identifying quality issues. - Providing ongoing feedback through DMs. - Escalating recurring or critical issues. Code review involves: - Evaluating AI-generated JavaScript code, debugging responses, implementation explanations, algorithmic solutions, frontend/backend snippets, tests, and step-by-step reasoning for correctness and clarity. Trainer and QA communication tasks include: - Updating trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and JavaScript-specific review standards. Question handling requires: - Responding to trainer/QA questions clearly and promptly. - Addressing queries around JavaScript behavior, async logic, browser vs Node.js environments, frameworks, package usage, testing, edge cases, and rubric interpretation. Trainer/QA activation management involves: - DMing contributors who are inactive or not working. - Encouraging activation and tracking follow-ups. - Flagging availability issues when needed. Documentation tasks include: - Creating and maintaining JavaScript project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training responsibilities include: - Scheduling and running onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and JavaScript-specific review requirements. Quality alignment ensures: - All trainers and QAs apply JavaScript review guidelines consistently and understand updates as projects evolve. Risk and security review involves: - Flagging unsafe, misleading, insecure, or overconfident code recommendations, especially around injection risks, dependency usage, authentication, browser security, data handling, and production readiness. Process improvement includes: - Identifying recurring quality gaps. - Proposing workflow improvements. - Helping build scalable QA processes for JavaScript AI training projects. Qualifications - 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. Benefits - 💰 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 work directly contributes to how AI systems learn and communicate. - 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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