Senior Code Reviewer for LLM Data Training (R)

SME Work; Manaus; Teletrabalho; USD 80.000 - 100.000; Tempo integral

Resumo da oferta

A leading company specializing in AI projects is hiring a Senior Code Reviewer focused on LLM Data Training. This remote role requires extensive expertise in R, as you will review code generated by annotators, ensuring quality and functionality. With competitive pay and a high-impact environment, this position offers a chance to influence AI capabilities directly.

Qualificações

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

Responsabilidades

• Review and audit annotator evaluations of AI-generated R code.
• Validate code snippets using proof-of-work methodology.
• Provide constructive feedback to maintain high annotation standards.

Conhecimentos

R syntax

Debugging

Communication

Ferramentas

Testing tools

Code execution environments

Descrição da oferta de emprego

Join to apply for the Senior Code Reviewer for LLM Data Training (R) role at SME Work

2 days ago Be among the first 25 applicants

Join to apply for the Senior Code Reviewer for LLM Data Training (R) role at SME Work

Direct message the job poster from SME Work

Talent Acquisition | Ex-Invisible | Hired 6,000 Annotators Globally

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:

• $40 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Quality Assurance, Information Technology, and Engineering

• Industries

  Data Infrastructure and Analytics and IT Services and IT Consulting

Referrals increase your chances of interviewing at SME Work by 2x

Get notified about new Software Engineer jobs in Recife, Pernambuco, Brazil.

C# / DotNet Developer with React experience - Remote, Latin America

Software Engineer, Mobile (Swift/Kotlin)

Frontend Web Developer - Remote - Latin America

Front-End Developer - Remote Work | REF#5841

Software Developer PHP - Remote Work | REF#101782

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.