LLM QA Engineer – Remote AI Coding Auditor

Outlier; Caracas; À distance; VES 34 287 000 - 48 833 000; Plein temps

Avantages offerts par ce poste

Flexible remote work

Free access to leading LLMs

Incentive payments

Résumé du poste

Outlier is recruiting QA Coders to help train AI models by reviewing AI-generated code and rating model responses. This freelance, 1099 opportunity allows you to contribute from anywhere with flexible hours and competitive rates up to $34 per hour, plus additional incentives based on project outcomes.

Ideal candidates have a Bachelor's degree in Computer Science, software engineering experience with live production code, and strong English communication.

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.

Responsabilités

• 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.

Connaissances

Code review

Model evaluation

Prompt writing

English fluency

Formation

Bachelor's degree in Computer Science

Description du poste

Outlier is recruiting QA Coders to help train AI models by reviewing AI-generated code and rating model responses. This freelance, 1099 opportunity allows you to contribute from anywhere with flexible hours and competitive rates up to $34 per hour, plus additional incentives based on project outcomes.

Ideal candidates have a Bachelor's degree in Computer Science, software engineering experience with live production code, and strong English communication.