Remote Javascript Llm Jobs (NOW HIRING)

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a JavaScript Quality Assurance Lead to oversee quality and consistency across JavaScript AI training projects, reviewing AI-generated code and providing feedback to ensure adherence to quality standards.
Responsibilities:
• Quality monitoring: Spot-check JavaScript items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Code review: Evaluate 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: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and JavaScript-specific review standards.
• Question handling: 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.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain JavaScript project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and JavaScript-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply JavaScript review guidelines consistently and understand updates as projects evolve.
• Risk and security review: Flag unsafe, misleading, insecure, or overconfident code recommendations, especially around injection risks, dependency usage, authentication, browser security, data handling, and production readiness.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for JavaScript AI training projects.
Qualifications:
Required:
• 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.
Preferred:
• 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.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, coding mentors, or QAs.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, code content QA, or rubric-based LLM evaluation.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.