Code Reviewer for LLM Data Training (Dart)
SuperAnnotate
About the Role
We are looking for a Code Reviewer with expertise in Dart to join our AI training QA team. You will be responsible for auditing annotator evaluations of AI-generated responses written in Dart. Your role will be to ensure technical correctness, instruction adherence, proof-of-work validation, and consistent application of evaluation rubrics.
Responsibilities
- - Audit annotator evaluations of AI-generated Dart responses
- - Verify if responses follow prompt requirements regarding Dart conventions, Flutter-related structure, and type safety.
- - Evaluate Dart code for correctness, performance, security, and readability
- - Run and validate proof-of-work code submitted by annotators to confirm functionality
- - Review annotator-submitted Loom videos to assess evaluation and testing accuracy
- - Ensure responses align with instruction-following expectations including style, tone, and clarity
- - Identify and document errors, omissions, or rating inconsistencies
- - Provide clear, constructive QA feedback based on rubric and guideline criteria
- - Collaborate with internal teams for clarifications on complex or ambiguous items
Required Qualifications
- - 5–7+ years of experience in Dart development, QA, or code review
- - Strong understanding of core Dart concepts and development best practices
- - Experience with debugging, testing tools, and code execution environments
- - Strong analytical and critical thinking skills
- - Excellent written communication for documenting evaluations and feedback
- - English proficiency at B2, C1, C2, or Native level
Preferred Qualifications
- - Experience with AI/LLM workflows, human-in-the-loop QA, or model evaluation
- - Familiarity with structured code evaluation processes and rubrics
- - Experience using QA/annotation platforms such as SuperAnnotate
Why Join Us
Join a forward-thinking team shaping how AI learns to understand and write Dart code. Your expertise will directly influence the quality, reliability, and instructional value of AI-generated content. This is a fully remote role offering flexible hours, milestone-based structure, and competitive compensation.