Senior Code Reviewer for LLM Data Training (Java)

G2i Inc.; Manaus; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology firm is seeking a remote Code Reviewer with deep Java expertise to ensure quality in annotations for AI-generated Java code. The role requires 5–7+ years of experience in Java development, excellent communication skills, and familiarity with structured QA workflows. Responsibilities include auditing code evaluations and providing feedback. English proficiency is essential. This is a remote opportunity based in Brazil.

Qualificações

• 5–7+ years of experience in Java development, QA, or code review.
• Strong knowledge of Java syntax, debugging, edge cases, and testing.
• Excellent written communication and documentation skills.
• Experience working with structured QA or annotation workflows.

Responsabilidades

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

Conhecimentos

Java development

Code review

Debugging

Testing

Documentation

Communication skills

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.