Code Reviewer for LLM Data Training (R)
About The Position
G2i connects subject-matter experts, students, and professionals with flexible, remote AI training opportunities, including 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. We’re hiring a Code Reviewer with deep R expertise to review evaluations completed by data annotators assessing AI-generated R code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality.
Requirements
- 5–7+ years of experience in R development, QA, or code review.
- Strong knowledge of R 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.
Nice To Haves
- Experience in AI training, LLM evaluation, or model alignment.
- Familiarity with annotation platforms.
- Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines.
Responsibilities
- Review and audit annotator evaluations of AI-generated R code.
- Assess if the R 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.
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
