Dart QA Lead - Remote

Job Description Job Title: Dart Quality Assurance Lead Job Type: Contract Location: Remote About This Role In this hourly, remote contractor role, you will work as a Dart Quality Assurance Lead to oversee quality, consistency, and trainer performance across Dart AI training projects. You will review AI-generated Dart code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected standards. You will assess work for code correctness, type safety, async behavior, Flutter awareness, debugging accuracy, readability, maintainability, performance, test coverage, formatting, instruction-following, and rubric adherence. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Dart quality leadership will help ensure Dart training data is accurate, executable, maintainable, clearly explained, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Your Profile Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or equivalent professional experience. Strong grasp of English to follow guidelines and provide clear technical feedback. 3+ years of professional experience in Dart, Flutter, mobile development, frontend development, code review, QA, or technical mentoring. Strong understanding of Dart syntax, null safety, classes, mixins, extensions, generics, collections, futures, streams, isolates, packages, and error handling. Ability to identify issues such as incorrect async handling, type errors, weak null-safety usage, non-executable code, flawed logic, hallucinated APIs, or incomplete explanations. Familiarity with Flutter, widgets, state management, pub.dev packages, unit/widget testing, integration testing, build tools, mobile app architecture, GitHub, and CI/CD is preferred. Experience leading or supporting remote teams of trainers, engineers, reviewers, or QAs is strongly preferred. Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems. Highly organized and able to maintain style guides, trackers, FAQs, honeypots, calibration tasks, and onboarding materials. Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus. Key Responsibilities Spot-check Dart items and provide ongoing feedback through DMs. Review AI-generated Dart code, Flutter-related snippets, debugging responses, tests, and explanations. Communicate guideline changes and Dart-specific standards on Discord. Answer questions around Dart syntax, null safety, async behavior, Flutter usage, packages, tests, and rubric interpretation. DM inactive contributors and manage activation follow-ups. Create Dart documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials. Run onboarding/training calls for Dart contributors. Flag insecure, misleading, non-executable, or non-production-ready Dart/Flutter recommendations. Improve QA processes based on recurring gaps.

The Dart QA Lead will review AI-generated Dart code and provide ongoing feedback to ensure quality and adherence to project guidelines. They will also create documentation and run onboarding calls for Dart contributors.

Candidates should have a Bachelor’s or Master’s degree in a relevant field and at least 3 years of professional experience in Dart and related technologies. Strong communication skills in English and familiarity with various tools and platforms are also required.

Identified from the job description. Confirm important requirements above.

• Dart
• Flutter
• Mobile Development
• Frontend Development
• Code Review
• Quality Assurance
• Technical Mentoring
• Async Behavior
• Debugging
• Readability
• Maintainability
• Test Coverage
• GitHub
• CI/CD
• AI Training
• LLM Evaluation

• Technology
• Software
• Data & Analytics

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level