Remote Spanish Linguistic Expert for AI Research

Obsidian; Ciudad de México; Presencial; MXN 360.000 - 600.000; Jornada completa

Descripción de la vacante

Mercor is seeking experienced Spanish Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role focuses on evaluating how effectively a large language model performs in Spanish-language tasks and on curating high-quality Spanish linguistic data to train and improve the model’s understanding and generation capabilities.

As part of a distributed, remote team, you will edit, refine, and annotate Spanish content, identify linguistic gaps, and

Formación

• Native or near-native fluency in Spanish with excellent grammar, syntax, and stylistics.
• Professional experience in translation, editing, linguistic annotation, or NLP data work in Spanish.
• Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
• Interest in AI and LLM-driven language technologies (preferred but not required).
• Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
• Clear communication skills and experience working in distributed, remote teams.

Responsabilidades

• Evaluate the quality and accuracy of LLM-generated Spanish text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
• Edit, refine, or rewrite Spanish content to meet linguistic and cultural standards.
• Annotate Spanish text for grammatical, syntactic, and semantic features.
• Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
• Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

Conocimientos

Spanish language expertise

Linguistic annotation

NLP data work

Editing/translation

Descripción del empleo

Mercor is seeking experienced Spanish Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role focuses on evaluating how effectively a large language model performs in Spanish-language tasks and on curating high-quality Spanish linguistic data to train and improve the model’s understanding and generation capabilities.

As part of a distributed, remote team, you will edit, refine, and annotate Spanish content, identify linguistic gaps, and