Entry-Level Software Engineer: AI QA & Coding (Remote)

Outlier; Antofagasta; A distancia; CLP 38.488.000 - 54.816.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free access to leading LLMs

Flexible remote work

Descripción de la vacante

Outlier is offering a remote, contract-based opportunity for QA Coders in LatAm. The role involves reviewing AI-generated code, scoring model responses, and crafting high-quality prompts to advance code generation models. Applicants should have a CS degree, production code experience, and strong English communication skills.

Work is remote across Latin America with competitive pay. The program emphasizes flexible schedules and real AI work, including free access to leading LLMs and performance

Formación

• Bachelor's degree 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.

Responsabilidades

• Review AI-generated code and flag errors, inconsistencies, or quality issues using structured guidelines.
• Rate and rank model responses across key dimensions — accuracy, instruction following, and presentation.
• Write computer science questions to develop clear, well-structured prompts that challenge AI models.

Conocimientos

English fluency

Attention to detail

Production codebase

Educación

Bachelor's degree in Computer Science

Descripción del empleo

Outlier is offering a remote, contract-based opportunity for QA Coders in LatAm. The role involves reviewing AI-generated code, scoring model responses, and crafting high-quality prompts to advance code generation models. Applicants should have a CS degree, production code experience, and strong English communication skills.

Work is remote across Latin America with competitive pay. The program emphasizes flexible schedules and real AI work, including free access to leading LLMs and performance