Senior Code Reviewer for LLM Data Training (GO)

SME Work


Date: 3 weeks ago
City: Remote
Contract type: Contractor
Remote

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 GO expertise to review evaluations completed by data annotators assessing AI-generated GO 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 GO code.
  • Assess if the GO 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 GO development, QA, or code review.
  • Strong knowledge of GO 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 GO expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

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