Senior Code Reviewer for LLM Data Training (JavaScript)
Role Overview
This senior-level role involves reviewing and auditing evaluations of AI-generated JavaScript code by data annotators to ensure adherence to quality guidelines for instruction-following, correctness, and functionality. Day-to-day tasks include validating code snippets, identifying inaccuracies, and providing constructive feedback within a remote team focused on AI training and model alignment. The hire will impact the integrity and consistency of AI evaluations, contributing to high annotation standards and reliable data for AI development.
Perks & Benefits
The job offers remote work with flexible hours, likely accommodating various time zones, and provides weekly paid compensation once work is approved for consistent income. Career growth is implied through personalized hourly rates based on experience and performance, with opportunities for re-evaluation on different projects. The culture emphasizes collaboration with leading AI teams and structured workflows, fostering a professional environment focused on quality and continuous improvement in AI training.
Full Job Description
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.
Compensation
Hourly rates are personalized based on your experience level, educational background, location, and industry expertise. You’ll see your specific rate in your contract offer before signing. Rates for technical roles can vary significantly based on these factors and can be re-evaluated for different projects based on your performance and experience.
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