Dart QA Lead

About OpenTrain

OpenTrain AI is hiring a Dart QA Lead to help improve the quality of AI training and code evaluation work. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply in minutes.

In this contractor role, you will bring strong Dart and Flutter expertise to technical review, contributor support, and quality leadership across Dart-focused AI training work.

• Remote contractor position
• United States only
• Part-time engagement requiring 20+ hours per week
• Pay up to $65 per hour

About AI Training and Code Evaluation

AI training is the human side of building artificial intelligence. People review examples, evaluate model responses, and provide structured feedback so AI systems can become more accurate, useful, and reliable.

As a code evaluator, you will assess whether AI-generated programming content is correct, executable, maintainable, and aligned with instructions. Your feedback will help shape how AI systems handle Dart and Flutter development tasks.

• Work on cutting-edge AI training and evaluation
• Apply software engineering judgment to model-generated code
• Help improve technical accuracy, safety, and instruction-following

The Dart QA Lead Role

OpenTrain AI is seeking an experienced technical reviewer to assess AI-generated Dart code and trainer QA work. You will evaluate correctness, type safety, asynchronous behavior, Flutter awareness, debugging accuracy, readability, maintainability, performance, test coverage, formatting, instruction-following, and rubric adherence.

You will also provide precise written feedback, answer technical questions, maintain Dart-specific quality materials, and support contributor onboarding and ongoing quality improvement.

• Review AI-generated Dart and Flutter code for technical quality
• Evaluate trainer and QA work against project guidelines
• Lead quality improvement for Dart-focused training work

What You'll Do

This role combines hands-on code review with documentation, communication, and contributor support. You will help establish consistent standards and identify recurring quality issues across the training workflow.

• Review Dart code, Flutter snippets, debugging responses, tests, and technical explanations.
• Assess work for syntax, null safety, asynchronous behavior, logic, APIs, testing, and rubric compliance.
• Provide detailed written feedback and answer questions about Dart, Flutter, packages, tests, and guideline interpretation.
• Communicate guideline changes and Dart-specific standards to contributors and reviewers.
• Create and maintain style guides, examples, trackers, FAQs, calibration tasks, honeypots, and onboarding materials.
• Support onboarding and training calls for Dart contributors.
• Flag insecure, misleading, non-executable, or non-production-ready Dart and Flutter recommendations.
• Help address recurring QA gaps and contributor activation follow-ups.

Required Skills and Experience

You should have strong practical knowledge of Dart and Flutter, along with the ability to explain technical issues clearly in written English. Experience leading or supporting remote teams is strongly preferred, while AI training, LLM evaluation, code QA, or rubric-based code review experience is a strong plus.

• Strong Dart and Flutter knowledge, including syntax, null safety, classes, mixins, extensions, generics, collections, futures, streams, isolates, packages, and error handling.
• Ability to identify incorrect async handling, type errors, weak null-safety usage, flawed logic, hallucinated APIs, and incomplete explanations.
• Familiarity with widgets, state management, pub.dev packages, unit testing, widget testing, integration testing, build tools, and mobile app architecture.
• Familiarity with GitHub and CI/CD workflows.
• Strong English communication skills for clear, precise technical feedback.
• Experience leading or supporting remote teams of trainers, engineers, reviewers, or QA professionals is strongly preferred.
• Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus.

Helpful Background

A bachelor's or master's degree in Computer Science, Software Engineering, Information Technology, or equivalent professional experience may support success in this role. Organization is important because the work includes maintaining shared guidance, tracking quality trends, and supporting contributor development.

• Computer Science, Software Engineering, IT degree, or equivalent professional experience
• Comfort using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems
• Ability to maintain style guides, trackers, FAQs, calibration tasks, and onboarding materials
• Strong organization and follow-through

Why Build Your AI Training Career With OpenTrain

OpenTrain gives AI training professionals a place to build a lasting portfolio of specialized work. By documenting your experience and expertise, you can discover projects that match your skills and develop a career in a fast-growing field where human judgment directly influences how AI systems behave.

For technical contributors who enjoy high-signal feedback and quality leadership, code evaluation can be a meaningful addition to an ongoing freelance workflow. Creating an OpenTrain account is free.

• Build a credible profile around specialized AI training experience
• Find opportunities aligned with your technical background
• Work remotely with a computer and internet connection
• Grow experience in AI evaluation and data-labeling work

Role Details

This is a remote, part-time contractor role for candidates located in the United States. The expected commitment is 20+ hours per week, and compensation is up to $65 per hour.

• Role: Dart QA Lead
• Work arrangement: Remote contractor
• Location: United States
• Expected time: 20+ hours per week
• Compensation: Up to $65 per hour
• Primary language: English