This job is no longer available

The job listing you are looking has expired.
Please browse our latest remote jobs.

See open jobs →

Senior Code Reviewer for LLM Data Training (Java)

Added
5 days ago
Type
Contract
Salary
Not Specified

Use AI to Automatically Apply!

Let your AI Job Copilot auto-fill application questions
Auto-apply to relevant jobs from 300,000 companies

Auto-apply with JobCopilot Apply manually instead
Save job

Related skills

java qa code review rlhf ai training

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.

Use AI to Automatically Apply!

Let your AI Job Copilot auto-fill application questions
Auto-apply to relevant jobs from 300,000 companies

Auto-apply with JobCopilot Apply manually instead
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Remote Engineering Jobs. Just set your preferences and Job Copilot will do the rest—finding, filtering, and applying while you focus on what matters.

Related Engineering Jobs

See more Engineering jobs →