Senior Angular Code Reviewer (JavaScript)

About OpenTrain

OpenTrain is the #1 platform for people who start and grow careers in AI training and data labeling. We connect skilled contributors with projects that shape how modern AI systems behave, helping you build reputation and experience in a fast-growing industry.

This role is a contracting position with OpenTrain AI; you will work 100% remotely and contribute directly to data that trains next-generation models.

About AI training and why it matters

AI training (also called data labeling or human feedback work) is the human side of building AI. Contributors verify, rate, and improve model outputs—everything from code to text—and their work determines how safe, useful, and reliable models become.

This role focuses on evaluating AI-generated JavaScript and Angular code responses: your reviews will improve model quality and ensure annotations meet strict technical and security standards.

The role

You will audit annotator reviews of AI-generated JavaScript + Angular code. For each submission you will install dependencies, build the project with the Angular CLI, run it in an isolated sandbox or container, and verify the submission meets the prompt and our quality rubric.

When reviews are incorrect or incomplete you will correct the rating and provide concise, actionable feedback so annotators and models improve over time.

• Part-time contractor: 20+ hours per week, fully remote, worldwide.
• Pay: $23 USD per hour, paid per OpenTrain contractor terms.
• Labeling focus: computer code / programming (Angular + JavaScript).

What you'll do day-to-day

Work through batched submissions: set up environments, build and run Angular projects, and evaluate correctness against the prompt and rubric. Use containerised builds to validate functional claims and reproduce issues reliably.

• Install dependencies and build with Angular CLI (Angular 15+).
• Run apps in a sandbox or Docker container to confirm behavior and prompt compliance.
• Verify rendering, component behavior, routing, SSR/Universal where applicable.
• Check security: detect XSS, CSRF, injection, and supply-chain issues; reference findings from scanners (Snyk, npm-audit) when available.
• Assess performance: AoT, lazy-loading, bundle size, RxJS efficiency, Web Vitals impacts such as CLS.
• Evaluate accessibility (WCAG-compliant UI components) and include concrete remediation notes.
• Correct mis-ratings, apply rubric-based scores, and write concise feedback for annotators.

Requirements

We require demonstrable, professional-level experience and deep familiarity with modern Angular and JavaScript toolchains. Preserve these minimums when applying—OpenTrain will rely on your expertise to validate code at scale.

• 7+ years professional experience in Angular/JavaScript development, QA, or dedicated code-review roles.
• Expert with Angular 15+, RxJS, standalone components, Ivy, Angular CLI, SSR/Universal, and state-management patterns (NgRx, Signal Store).
• Strong ES2023+ JavaScript knowledge, TypeScript typings, and module systems (ESM/CJS).
• Advanced testing & debugging: Jest/Karma, Cypress/Playwright, Angular Testing Library, and coverage tools (Istanbul/nyc).
• Secure coding skills: ability to detect/mitigate XSS, CSRF, injection, and supply-chain vulnerabilities; familiarity with Snyk or npm-audit.
• Performance & accessibility expertise: bundle optimization, code-splitting, Web Vitals, and WCAG compliance.
• Toolchain and DevOps: Docker (multi-stage), CI/CD (GitHub Actions, GitLab), and experience with PR/MR workflows.
• Proof-of-work validation comfort: spinning up containerized builds to confirm functional correctness.
• Structured QA practice: rubric-based scoring, checklist reviews, and familiarity with ticketing tools (Jira, Asana).
• Excellent written English (B2+ CEFR) for concise feedback and mentoring.

Nice to have

The following are not required but will make your candidacy stronger and allow you to contribute more deeply to AI training initiatives.

• Exposure to LLM evaluation, RLHF pipelines, or prior work on AI/ML data-labeling projects.
• Experience with advanced profiling tools and front-end observability stacks.
• Prior mentoring or reviewer roles in large-scale annotation projects.

How the work is organized

You will receive batches of code-review tasks through OpenTrain’s workflow. Each task includes the annotator review to audit, the AI-generated submission, and the original prompt. Use your environment to reproduce behavior, then score and annotate according to the rubric.

Timely, high-quality feedback is essential: keep reviews concise, evidence-based, and focused on fixes or correctives that annotators can act on.

• Work remotely on your own schedule, aiming for 20+ hours/week.
• Deliver ratings and short feedback items per task; apply rubric consistently.
• Use Docker/CI where required to reproduce and validate builds.