Sr. SWE for Code Reviewing LLM Data Training

hace 4 semanas

Rosario, Argentina G2i Inc. A tiempo completo

About the Company 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. 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 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. #J-18808-Ljbffr

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