Senior Code Reviewer for LLM Data Training (Java)

G2i Inc.; Rio de Janeiro; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A tech company specializing in AI training in Rio de Janeiro is seeking a Code Reviewer with deep Java expertise. You will review evaluations of AI-generated Java code, ensuring compliance with strict quality guidelines. Ideal candidates have 5–7 years of experience in Java, strong debugging skills, and excellent written communication abilities. This is a flexible remote position offering weekly compensation upon approval.

Qualificações

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

Responsabilidades

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

Conhecimentos

Java syntax

Debugging

Testing

Written communication

QA workflows

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 upon approval, ensuring consistent, reliable compensation.

About the Role

We’re hiring Code Reviewers with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java 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 Java code.
• Assess if the Java 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 Java development, QA, or code review.
• Strong knowledge of Java 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.