Senior Code Reviewer for LLM Data Training (Java)

G2i Inc.; Mississauga; Remote; CAD 80,000 - 100,000; Full time

Job summary

A technology services firm is seeking a Code Reviewer specializing in Java to ensure the quality of AI-generated code evaluations. Candidates should have over 5 years of Java development and code review experience, strong communication skills, and knowledge of coding standards. This position involves providing feedback on annotator evaluations to maintain high standards in AI training work. The role is remote, offering flexible work arrangements.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Java development

Code review

Debugging

Testing

Communication

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.