Senior Code Reviewer for LLM Data Training (Java)

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

Resumo da oferta

A technology company in Brazil is hiring Code Reviewers with deep Java expertise to review evaluations of AI-generated Java code. You will ensure annotators follow strict quality guidelines on instruction-following, correctness, and functionality. The role requires 5–7+ years of Java experience, strong knowledge of syntax, and excellent communication skills. This position offers flexible, remote work opportunities with weekly paid contributions.

Qualificações

• 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.

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 syntax

Debugging

Testing

Written communication

QA workflows

English Proficiency

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.