Senior Code Reviewer for LLM Data Training (R)

G2i Inc.; Fortaleza; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology company is seeking a Code Reviewer with deep R expertise to ensure quality in AI-generated R code evaluations. In this role, you will review annotator evaluations, enforce strict quality standards, and provide feedback to uphold high annotation practices. The position offers remote flexibility and competitive compensation for professionals with significant experience in R development and QA.

Serviços

Competitive compensation

Remote flexibility

Milestone-based delivery

Qualificações

• 5–7+ years of experience in R development, QA, or code review.
• Strong knowledge of R syntax and debugging.
• Experience with annotation workflows.
• English proficiency at B2, C1, C2, or Native level.

Responsabilidades

• Review and audit annotator evaluations of AI-generated R code.
• Provide constructive feedback to maintain high annotation standards.
• Work within Project Atlas guidelines for evaluation integrity.
• Validate code snippets using proof-of-work methodology.

Conhecimentos

R development

Quality Assurance (QA)

Code Review

Communication skills

Debugging

Testing

Descrição da oferta de emprego

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.

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.