Remote AI QA Engineer: Review & Improve AI Code

Outlier; Valparaíso; Remote; CLP 38,488,000 - 54,816,000; Full time

Job summary

Outlier is seeking a flexible, remote QA Coder to help train AI models by reviewing AI-generated code and scoring model responses. You will also craft clear CS prompts to challenge AI systems and improve coding outcomes.

This is a 1099 freelance opportunity on the Outlier.ai platform with compensation up to $34/hr, plus incentives. Ideal candidates have a Computer Science degree and strong English communication, with attention to detail and experience contributing to production codebases.

Qualifications

• Completed a Bachelor's degree or higher in Computer Science from a selective institution.
• Software engineering experience contributing to a live production codebase.
• 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

English fluency

Attention to detail

Code review

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking a flexible, remote QA Coder to help train AI models by reviewing AI-generated code and scoring model responses. You will also craft clear CS prompts to challenge AI systems and improve coding outcomes.

This is a 1099 freelance opportunity on the Outlier.ai platform with compensation up to $34/hr, plus incentives. Ideal candidates have a Computer Science degree and strong English communication, with attention to detail and experience contributing to production codebases.