Remote AI QA Coder - Data Analyst for Model Training

Outlier; Maracaibo; À distance; VES 24 447 000 - 41 560 000; Plein temps

Avantages offerts par ce poste

Flexible work

Free LLM access

Dedicated support

Résumé du poste

Outlier is seeking QA Coders to audit AI-generated code and rate model responses, offering flexible 1099 contract work across Latin America and beyond. Earn up to $34 per hour, with additional incentives and potential surge pricing.

The role emphasizes building prompts and improving model outputs while working remotely and on a flexible schedule. Ideal candidates hold a Bachelor's degree in Computer Science and have software engineering experience in production codebases, with strong written and

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.

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

English proficiency

Formation

Bachelor's degree in Computer Science

Description du poste

Outlier is seeking QA Coders to audit AI-generated code and rate model responses, offering flexible 1099 contract work across Latin America and beyond. Earn up to $34 per hour, with additional incentives and potential surge pricing.

The role emphasizes building prompts and improving model outputs while working remotely and on a flexible schedule. Ideal candidates hold a Bachelor's degree in Computer Science and have software engineering experience in production codebases, with strong written and