Senior Node.js Code Reviewer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors to help evaluate the code and feedback used to improve next-generation AI systems.

• Remote contract work
• Part-time schedule with 20+ hours per week
• Apply through OpenTrain

About AI Training and Code Evaluation

AI training is the human side of building artificial intelligence. Expert reviewers assess examples, rate model outputs, and correct errors so AI systems learn to produce more accurate, secure, and useful results.

In this role, your Node.js expertise will help evaluate programming responses and maintain the quality of data used to train modern AI models.

• Work at the intersection of software engineering and AI
• Help shape how AI systems generate and assess code
• Use your professional experience in a flexible, remote setting

The Role

OpenTrain AI is seeking a Senior Node.js Code Reviewer to audit annotator reviews of AI-generated Node.js code. You will build and run each snippet in a sandboxed container, confirm that it follows the prompt and executes correctly, and assess its security, performance, testing, and engineering quality.

When you identify incorrect ratings, you will correct them and provide concise feedback that keeps reviews aligned with the quality rubric. The listed experience level is intermediate, while the role requires at least seven years of professional experience.

• Pay: $24 per hour
• Engagement: Part-time contractor
• Time commitment: 20+ hours per week
• Languages: English
• Eligible countries: India, the Philippines, and Vietnam

What You'll Do

You will validate code-review decisions by executing Node.js snippets and examining whether they satisfy the original prompt. Your assessments will cover correctness, maintainability, security, scalability, and testing practices.

• Build and execute AI-generated Node.js code in sandboxed containers
• Verify prompt compliance and runtime correctness
• Audit annotator reviews against a defined quality rubric
• Identify and correct inaccurate ratings
• Write concise, constructive feedback
• Review injection flaws, insecure deserialization, dependency CVEs, and privilege-escalation risks
• Assess async I/O, worker threads, streaming, clustering, caching, and other performance considerations
• Validate testing and debugging practices

Requirements

You should have at least seven years of professional experience in Node.js back-end or full-stack development, QA, or dedicated code-review roles. Strong written English at B2 or higher on the CEFR scale is required.

• Deep knowledge of Node.js internals, including the event loop, libuv, and workers
• Expertise in modern JavaScript and TypeScript, including ES2023+
• Strong knowledge of Node.js v18 through v22, ESM, CJS, and ts-node
• Experience with npm or pnpm and production tooling
• Advanced use of Jest, Vitest, Mocha, Chai, supertest, nyc, Istanbul, clinic.js, and node-inspect
• Knowledge of npm-audit, Snyk, OWASP principles, and supply-chain hygiene
• Experience with Docker, containerized builds, GitHub Actions, GitLab CI, and CI/CD
• Familiarity with winston or pino and OpenTelemetry
• Ability to run code in containers or sandboxed virtual machines
• Experience with rubric-based scoring, checklist reviews, Jira, Asana, or annotation tools

Preferred Background

The strongest candidates combine senior Node.js engineering judgment with structured quality assurance and clear communication. Experience coaching peers and delivering actionable feedback will help you succeed in this review-focused role.

• Strong understanding of async patterns, streaming, worker threads, clustering, and caching
• Experience with Redis or in-memory LRU caching strategies
• Proven ability to detect and explain secure-coding issues
• Experience providing clear, constructive feedback and coaching peers
• Exposure to LLM evaluation, RLHF pipelines, or data-labeling platforms such as Labelbox or Scale AI

How This Work Supports AI

Every major AI system depends on examples prepared and reviewed by people. By checking whether generated code is correct, secure, performant, and aligned with its instructions, you help create reliable training data for the next generation of AI.

• Apply your Node.js expertise to cutting-edge AI development
• Contribute to higher-quality programming evaluations
• Build experience in the growing AI training industry