Senior Node.js Code Reviewer

About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with meaningful, flexible work that directly shapes how modern AI systems behave.

We hire contributors to validate, correct, and improve examples that train next‑generation models. This role is an opportunity to bring deep Node.js expertise into the human layer of AI development.

About AI training and this work

AI training (data labeling / annotation / human feedback) is the human side of building artificial intelligence. People prepare and review examples — including code — that models learn from and are evaluated against.

These projects are typically 100% remote, flexible, and accessible: many roles need experience and attention to detail rather than formal credentials. As a reviewer you’ll directly protect the data quality that models use to learn.

The role — what you will do

As a Senior Node.js Code Reviewer you will audit annotator reviews of AI-generated Node.js code snippets. You will build and run each snippet inside sandboxed containers or VMs, confirm prompt compliance, verify correct execution, and ensure adherence to our quality rubric.

Your corrections and concise feedback will align peer reviews with security best practices, performance expectations, and testing standards so that training data remains trustworthy and actionable.

• Validate AI-generated Node.js code (ES2023+, TypeScript) against prompts and rubrics.
• Execute code in sandboxed containers/VMs to confirm behavior and spot runtime issues.
• Correct mis-ratings and provide clear, actionable feedback to annotators.

Key responsibilities

You’ll combine hands-on execution with rubric-driven QA: run code, reproduce failures, find security or supply-chain issues, check performance patterns, and ensure tests and coverage meet standards.

Deliver precise, concise review comments that annotators can use to improve future reviews and help maintain consistent labeling quality.

• Spin up containers/ sandboxes to build and run snippets using Docker or similar.
• Confirm module systems (ESM/CJS), tooling (npm/pnpm, ts-node), and Node.js runtimes (v18–v22) are used correctly.
• Detect and correct security problems (OWASP concerns, dependency CVEs, insecure deserialization).
• Evaluate performance patterns: async I/O, worker threads, streaming, clustering, caching strategies.
• Ensure tests exist and run (Jest, Vitest, Mocha/Chai, supertest) and check coverage tools (nyc/Istanbul).
• Record mis-ratings, update scores per rubric, and provide constructive coaching feedback.

Requirements

You must bring strong, demonstrable Node.js experience and a practiced QA mindset. We will rely on your ability to run and reason about code safely and rapidly.

• 7+ years professional experience in Node.js back-end or full-stack development, QA, or code-review roles.
• Deep knowledge of Node.js internals (event loop, libuv, worker threads) and modern JS/TS syntax (ES2023+).
• Familiarity with module systems: ESM and CJS; experience with ts-node and TypeScript workflows.
• Proven testing and debugging skills (Jest, Vitest, Mocha/Chai, supertest, nyc/Istanbul, clinic.js, node-inspect).
• Security expertise: detect injection flaws, insecure deserialization, dependency CVEs, and supply-chain hygiene; experience with npm-audit, Snyk, or similar.
• Performance & scalability experience: async patterns, streaming, clustering, worker threads, and caching (Redis, LRU).
• Comfortable with Docker and containerized builds; experience reviewing CI/CD pipelines (GitHub Actions, GitLab CI) and observability tools (winston/pino, OpenTelemetry).
• Practical ability to spin up sandboxed containers or VMs to execute code and validate prompt compliance.
• Experience with rubric-based QA, checklist reviews, and ticketing tools (Jira, Asana).
• Excellent written English (B2+ CEFR) for clear, constructive feedback.

Nice to have

These are not required but will help you succeed faster and contribute broader expertise to our reviewer community.

• Exposure to LLM evaluation, RLHF pipelines, or other labeling platforms.
• Familiarity with supply-chain scanning integrations and advanced observability setups.
• Prior mentoring or formal code-review coaching experience.

Schedule, pay, and how this works

This is a contractor, part-time role at OpenTrain AI. The work is fully remote and open worldwide; you choose hours around the expectation below.

Pay is hourly at USD 24/hour. Typical commitment is 20+ hours per week; contractors must be able to run sandboxed environments to validate work (local or cloud).

• Employment type: Contractor, Part-time.
• Time requirement: 20+ hours per week, remote (worldwide).
• Pay: $24 USD per hour, PAY_PER_HOUR.
• Labeling focus: Computer code / programming (label type: COMPUTER_PROGRAMMING_CODING).

Who should apply and next steps

Apply if you are a seasoned Node.js professional who enjoys debugging, security hardening, and teaching through concise feedback. This role suits engineers who want flexible, impactful work contributing to AI training data quality.

If this matches your skills, prepare examples of relevant code-review experience and be ready to demonstrate your approach to running and validating code in a sandbox during the onboarding process.