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Senior Code Reviewer for LLM Data Training (R)

G2i Inc.

Manaus

Teletrabalho

BRL 80.000 - 120.000

Tempo integral

Hoje
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Resumo da oferta

A leading AI training company in Brazil is seeking a Code Reviewer proficient in R to audit evaluations of AI-generated code. You will ensure quality adherence, provide feedback, and work within structured workflows. This remote role requires 5–7+ years of experience in R, strong debugging skills, and excellent communication. Join a high-impact team shaping AI software.

Qualificações

  • 5–7+ years of experience in R development, QA, or code review.
  • Strong knowledge of R syntax and debugging.
  • Excellent written communication skills.

Responsabilidades

  • Review and audit annotator evaluations of AI-generated R code.
  • Assess code for prompt instructions and correctness.
  • Provide constructive feedback to maintain high standards.

Conhecimentos

R development
QA
code review
debugging
testing
written communication
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.

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