Node.js Lead

The Blond HR

19h • $70 • Remote

About The Position

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. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

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.
• 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.

Nice To Haves

• 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.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, code content QA, or rubric-based LLM evaluation is a strong plus.

Responsibilities

• 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.
• 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, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.
• 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.

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.
• Shape the Future of AI
• 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.

What This Job Offers

• Career Level: Senior