Remote Java AI QA Coder: Train Models and Review Code

Outlier; United States; À distance; MXN 718 000 - 1 023 000; Plein temps

Avantages offerts par ce poste

Free access to leading LLMs worth $200

Résumé du poste

Outlier is seeking a QA Coder to review AI-generated code, rate model responses, and craft computer science questions. The role is remote from Latin America and offers competitive earnings per hour with performance-based incentives.

Applicants should have a CS degree and hands-on software engineering experience in production codebases, plus fluency in English. Join a team that helps train AI models while working flexibly from anywhere.

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.
• Currently accepting applicants from: Argentina, Bolivia, Chile, Colombia, Costa Rica, Dominican Republic, Guatemala, Honduras, Mexico, Panama, Paraguay, Uruguay, Dominica, Belize

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

Formation

Bachelor's degree in Computer Science

Description du poste

Outlier is seeking a QA Coder to review AI-generated code, rate model responses, and craft computer science questions. The role is remote from Latin America and offers competitive earnings per hour with performance-based incentives.

Applicants should have a CS degree and hands-on software engineering experience in production codebases, plus fluency in English. Join a team that helps train AI models while working flexibly from anywhere.