Senior Code Reviewer for LLM Data Training (JavaScript)

**About the Company** G2i connects subject\-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact\-checking, and content review. We partner with leading AI teams, and all contributions are paid weekly once approved, ensuring consistent and reliable compensation. **About the Role** We’re hiring a Code Reviewer with deep JavaScript expertise to review evaluations completed by data annotators assessing AI\-generated JavaScript code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction\-following, factual correctness, and code functionality. **Responsibilities** * Review and audit annotator evaluations of AI\-generated JavaScript code. * Assess if the JavaScript 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. **Required Qualifications** * 5–7\+ years of experience in JavaScript development, QA, or code review. * Strong knowledge of JavaScript 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 Join Us?** Join a high\-impact team working at the intersection of AI and software development. Your JavaScript expertise will directly influence the accuracy, safety, and clarity of AI\-generated code. This role offers remote flexibility, milestone\-based delivery, and competitive compensation.