Remote AI QA Engineer: Code Review & Model Feedback

Outlier; Barquisimeto; Remote; VES 34,287,000 - 48,833,000; Full time

Benefits offered by this job

Remote work

Missions incentive

Top-quartile bonus

Job summary

Outlier is offering a 1099 contract opportunity paying up to $34 USD/hr with dedicated support and up to 40 hours per week. Projects involve auditing AI code and providing QA feedback to improve model performance. You will review AI-generated code, rate model responses, and craft clear CS prompts to challenge AI systems.

Opportunities span multiple countries, with incentives tied to performance. Ideal candidates hold a Bachelor's in Computer Science, have production-code experience, and can

Qualifications

• Completed a Bachelor's degree or higher in Computer Science.
• 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

Code review

English fluency

Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is offering a 1099 contract opportunity paying up to $34 USD/hr with dedicated support and up to 40 hours per week. Projects involve auditing AI code and providing QA feedback to improve model performance. You will review AI-generated code, rate model responses, and craft clear CS prompts to challenge AI systems.

Opportunities span multiple countries, with incentives tied to performance. Ideal candidates hold a Bachelor's in Computer Science, have production-code experience, and can