Remote Java QA Coder: Train AI Models (LATAM)

Outlier; Carolina (PR); Remote; USD 39,000 - 55,000; Full time

Benefits offered by this job

Remote work from anywhere

Free access to leading LLMs

Performance incentives

Job summary

Outlier is offering a remote QA coder role focused on evaluating and improving AI-generated code. You will review code produced by AI models, rate responses, and write clear computer science questions to push model capabilities.

This is a 1099 freelance opportunity open to applicants globally with flexible scheduling. Ideal candidates hold a Bachelor's in Computer Science and have production code experience, with strong English writing and attention to detail.

Qualifications

• Completed a Bachelor's degree or higher in Computer Science from a selective institution.
• Software engineering experience contributing to a live production codebase ideally for a technology company.
• Ability to articulate complex concepts fluently in written and spoken English.
• Excellent attention to detail, including grammar, punctuation, and style guidelines.

Responsibilities

• Review AI-generated code: Read through code produced by AI models and flag errors, inconsistencies, or quality issues using structured guidelines.
• Rate and rank model responses: Score responses across key dimensions — accuracy, instruction following, and presentation — to help improve model output.
• Write computer science questions: Develop clear, well-structured prompts that challenge AI models and push the boundaries of their coding ability.

Skills

Review AI code

Rate model responses

Write CS questions

Education

Bachelor's degree in Computer Science

Job description

Outlier is offering a remote QA coder role focused on evaluating and improving AI-generated code. You will review code produced by AI models, rate responses, and write clear computer science questions to push model capabilities.

This is a 1099 freelance opportunity open to applicants globally with flexible scheduling. Ideal candidates hold a Bachelor's in Computer Science and have production code experience, with strong English writing and attention to detail.