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Senior Code Reviewer for LLM Data Training (JavaScript)

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5 days ago
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Related skills

javascript testing qa ai code review

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.

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