TypeScript QA Lead - Remote
About the role
In this hourly, remote contractor role, you will work as a TypeScript Quality Assurance Lead to oversee quality, consistency, and trainer performance across TypeScript AI training projects. You will review AI-generated TypeScript code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.
Responsibilities
Spot-check TypeScript items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
Evaluate AI-generated TypeScript code, type definitions, debugging responses, implementation explanations, frontend/backend snippets, tests, and step-by-step reasoning for correctness, type safety, and clarity.
Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and TypeScript-specific review standards.
Respond to trainer/QA questions clearly and promptly, especially around type safety, inference, generics, strict mode, async logic, browser vs Node.js environments, frameworks, 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 TypeScript 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 TypeScript-specific review requirements.
Ensure all trainers and QAs apply TypeScript review guidelines consistently and understand updates as projects evolve.
Flag unsafe, misleading, insecure, or overconfident code recommendations, especially around type bypassing, unsafe casts, dependency usage, authentication, data handling, and production readiness.
Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for TypeScript AI training projects.
Requirements
Strong TypeScript expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams.
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 understanding of core TypeScript concepts such as static typing, interfaces, type aliases, generics, unions/intersections, narrowing, inference, mapped types, conditional types, utility types, strict mode, module systems, and type-safe API design.
Strong understanding of JavaScript runtime behavior, including promises, async/await, event loop, closures, scope, modules, error handling, and modern ECMAScript features.
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.
Qualifications
3+ years of professional experience in TypeScript development, JavaScript development, frontend engineering, backend development with Node.js, full-stack engineering, code review, software QA, technical mentoring, or related workflows.
Familiarity with common TypeScript ecosystems and tools such as Node.js, React, Next.js, Express/NestJS, npm/yarn/pnpm, Jest, Vitest, Playwright, ESLint, Prettier, Vite, Webpack, tsconfig, or GitHub workflows is preferred.
Skills
Strong TypeScript expertise.
Strong English communication skills.
Excellent attention to detail.
Structured communication.
Ability to manage quality workflows across remote technical teams.
Experience with AI training, data annotation, large language models, prompt/response evaluation, code content QA, or rubric-based LLM evaluation.
Familiarity with common TypeScript ecosystems and tools.
Benefits
Fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs.
Opportunity to work on improving the world’s premier AI models by ensuring that TypeScript training data is accurate, type-safe, executable, logically sound, clearly explained, well-documented, and aligned with client expectations.
Pay
Hourly rate based on experience and qualifications.
Schedule
Remote work schedule to be determined based on your availability and the needs of the project.