Talent Acquisition | Code Reviewer for AI-Generated Dart Code We're seeking a skilled Code Reviewer with expertise in Dart to ensure the quality and accuracy of AI-generated code responses. As a Code Reviewer, you will be responsible for reviewing evaluations completed by data annotators and providing constructive feedback to maintain high annotation standards. - Main Responsibilities: - Review and audit annotator evaluations of AI-generated Dart code. - Assess if the Dart code follows the prompt instructions, is functionally correct, and secure. - Validate code snippets using proof-of-work methodology. - Identify inaccuracies in annotator ratings or explanations. - Provide constructive feedback to maintain high annotation standards. - Work within Project Atlas guidelines for evaluation integrity and consistency. About the Role: This role requires a strong understanding of Dart syntax, debugging, edge cases, and testing. You should be comfortable using code execution environments and testing tools, and have excellent written communication and documentation skills. Requirements: - 5–7+ years of experience in Dart development, QA, or code review. - Strong knowledge of Dart syntax, debugging, edge cases, and testing. - Comfortable using code execution environments and testing tools. - Excellent written communication and documentation skills. - Experience working with structured QA or annotation workflows. - English proficiency at B2, C1, C2, or Native level. Preferred Qualifications: - Experience in AI training, LLM evaluation, or model alignment. - Familiarity with annotation platforms. - Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Why Work with Us: You will be part of a high-impact team working at the intersection of AI and software development, directly influencing the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.