Node.js Lead

The Blond HR

JavaScript Quality Assurance Lead at AI Data Services company overseeing quality in training projects. Collaborating with remote teams to ensure high standards in AI data accuracy and performance.

Posted 6/21/2026contractRemote • 🇺🇸 United StatesSenior💰 €70 per hourWebsite

Tech Stack

Tools & technologies

BabelJavaScriptJestMochaNode.jsReactVue.jsWebpackYarn

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

💰 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaScriptNode.jsfrontend engineeringbackend developmentfull-stack engineeringcode reviewsoftware QAtechnical mentoringECMAScriptAI training

Soft Skills

detail-orientedorganizedcommunicationfeedbackteam leadershipmentoringevaluationtrainingproblem-solvingadaptability

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Software EngineeringInformation Technology degree