Senior Code Reviewer for LLM Data Training (Java)

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

Resumo da oferta

A technology company specializing in AI is seeking Code Reviewers with expertise in Java to ensure high standards in evaluations of AI-generated code. Candidates should have 5–7+ years of experience in Java development or code review and be proficient in English. This remote role offers flexible working conditions with a focus on maintaining quality guidelines and providing constructive feedback.

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, is functionally correct, and secure.
• Identify inaccuracies in annotator ratings or explanations.
• Provide constructive feedback to maintain high annotation standards.

Conhecimentos

Java development

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.