Senior Code Reviewer for LLM Data Training (JavaScript)
Posted 1 day ago by G2i Inc.
Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of Senior Code Reviewer for LLM Data Training focuses on evaluating AI-generated JavaScript code responses to ensure quality and adherence to guidelines. The position requires deep JavaScript expertise and involves reviewing annotator evaluations, providing feedback, and maintaining high annotation standards. The role offers remote flexibility and competitive compensation within a high-impact team in the AI and software development sector.
Key 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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
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.