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Senior Code Reviewer for LLM Data Training (R)

7 years

0 Lacs

Posted:8 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role 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. 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. Required Qualifications 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. 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 : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your R expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

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