Spanish NLP Specialist - AI Language Data & Evaluation

Mercor; Ciudad de México; A distancia; MXN 300.000 - 420.000; 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 centers on evaluating how effectively a large language model (LLM) performs in Spanish-language tasks and on curating high-quality Spanish linguistic data to train and improve the model’s understanding and generation capabilities.

You will edit, annotate, and provide feedback to guide model training, working with distributed remote teams.

Formación

• Native or near-native fluency in Spanish, with excellent command over 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

Linguistic expertise

Editing

Translation

NLP data work

Annotating data

Attention to detail

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 centers on evaluating how effectively a large language model (LLM) performs in Spanish-language tasks and on curating high-quality Spanish linguistic data to train and improve the model’s understanding and generation capabilities.

You will edit, annotate, and provide feedback to guide model training, working with distributed remote teams.