Dart Team Lead (QA)

You will lead quality review for Dart and Flutter training work. The role combines code evaluation, detailed written feedback, guideline maintenance, and support for contributor onboarding.

You will work with code, explanations, tests, and training materials while helping improve recurring quality issues and contributor follow-ups.

• Review Dart code, Flutter snippets, debugging responses, tests, and explanations.
• Evaluate trainer and QA work against project guidelines and expected standards.
• Give feedback on Dart syntax, null safety, asynchronous behavior, Flutter usage, packages, tests, and rubric interpretation.
• Identify insecure, misleading, non-executable, or non-production-ready Dart and Flutter recommendations.
• Maintain style guides, examples, trackers, FAQs, calibration tasks, honeypots, and onboarding materials.
• Communicate Dart-specific standards and guideline changes.
• Support contributor onboarding, training calls, and activation follow-ups.

This is a remote contractor role for candidates in the United States. The work is listed as intermediate-level and part-time, with a regular weekly commitment.

• Pay: Up to $65 per hour.
• Time: 20+ hours per week.
• Location: Open to candidates in the United States.
• Language: Professional fluency in English for clear technical feedback.
• Core skills: Strong Dart and Flutter knowledge, including syntax, null safety, classes, mixins, extensions, generics, collections, futures, streams, isolates, packages, and error handling.
• Code review: Ability to find incorrect asynchronous handling, type errors, weak null-safety use, flawed logic, invented APIs, and incomplete explanations.
• Flutter and engineering knowledge: Widgets, state management, pub.dev packages, unit tests, widget tests, integration tests, build tools, mobile app architecture, GitHub, and CI/CD.
• Preferred experience: Leading or supporting remote teams of trainers, engineers, reviewers, or QA professionals.
• Helpful experience: AI training, large language model evaluation, code QA, or rubric-based code review.
• Helpful background: A degree in computer science, software engineering, or information technology, or equivalent professional experience.
• Organization: Comfort using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain helps you find AI training work and build a profile that shows your experience across projects.

AI training is the human work behind artificial intelligence. People review code, write and rate model responses, evaluate results, and provide feedback that helps AI systems improve.

Technical reviewers are needed because AI models can produce code that looks plausible but contains errors, unsafe advice, or incomplete reasoning.