Senior Code Reviewer for LLM Data Training (JavaScript)

G2i Inc.; Manaus; Teletrabalho; BRL 20.000 - 30.000; Tempo integral

Resumo da oferta

A technology consulting firm in Recife is seeking a skilled Code Reviewer to ensure the accuracy and quality of AI-generated JavaScript code. The ideal candidate will have several years of JavaScript development experience and strong QA skills. This remote position offers competitive compensation and the opportunity to influence AI software development significantly.

Qualificações

• 5–7+ years of experience in JavaScript development, QA, or code review.
• Strong knowledge of JavaScript syntax and testing.
• Experience working with structured QA or annotation workflows.

Responsabilidades

• Review and audit annotator evaluations of AI-generated JavaScript code.
• Assess if the JavaScript code follows the prompt instructions.
• Provide constructive feedback to maintain high annotation standards.

Conhecimentos

JavaScript development

Code review and QA

Debugging

Excellent communication

Structured QA workflows

English proficiency B2-C2

Ferramentas

Testing tools

Descrição da oferta de emprego

About the Company

G2i connects subject-matter experts, students, and professionals with flexible, remote AI training work such as 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 JavaScript expertise to review evaluations completed by data annotators assessing AI-generated JavaScript 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 JavaScript code.
• Assess if the JavaScript 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 JavaScript development, QA, or code review.
• Strong knowledge of JavaScript 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.

Why Join Us?

Join a high-impact team working at the intersection of AI and software development. Your JavaScript expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.