Senior Code Reviewer for LLM Data Training (Java)

G2i Inc.; Remote; ZAR 300 000 - 400 000; Full time

Job summary

A technology firm specializing in AI training is seeking a Code Reviewer with deep Java expertise. The role involves reviewing evaluations of AI-generated Java code, ensuring they meet quality guidelines, and providing feedback. Candidates should have 5–7+ years of experience in Java development and excellent communication skills. This role offers flexible, remote work based in KwaZulu-Natal, South Africa.

Qualifications

• 5–7+ years of experience in Java development, QA, or code review.
• Strong knowledge of Java syntax and debugging.
• Excellent written communication and documentation skills.

Responsibilities

• Review and audit annotator evaluations of AI-generated Java code.
• Identify inaccuracies in annotator ratings.
• Provide feedback to maintain high annotation standards.

Skills

Java development

Quality Assurance (QA)

Code review

Debugging

Testing

Communication skills

English proficiency

Tools

Code execution environments

Testing tools

Job description

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.