Remote Spanish Linguistic Expert for AI Research

Mercor; Bogotá; Presencial; COP 33.480.000 - 66.960.000; Jornada completa

Descripción de la vacante

Mercor is seeking experienced Spanish Linguistic Experts to join a cutting-edge AI research project, evaluating how well a large language model performs on Spanish-language tasks and curating high-quality Spanish linguistic data to train and improve model understanding and generation.

You will edit, annotate, and refine Spanish content, identify model gaps, and provide linguistic feedback to guide training, collaborating with researchers in distributed, remote teams to deliver accurate,

Formación

• Native or near-native fluency in Spanish with strong grammar and style.
• Experience in translation, editing, linguistic annotation, or NLP data work in Spanish.
• Understanding linguistic nuances, regional variations, and contextual usage.
• Interest in AI and LLM-based language technologies is a plus.

Responsabilidades

• Evaluate the quality and accuracy of LLM-generated Spanish text across use cases (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, collaborating with AI researchers to improve LLM performance.
• Provide detailed linguistic feedback to guide ongoing model training.

Conocimientos

Native Spanish fluency

Editing & proofreading

Linguistic annotation

Translation / localization

Attention to detail

Descripción del empleo

Mercor is seeking experienced Spanish Linguistic Experts to join a cutting-edge AI research project, evaluating how well a large language model performs on Spanish-language tasks and curating high-quality Spanish linguistic data to train and improve model understanding and generation.

You will edit, annotate, and refine Spanish content, identify model gaps, and provide linguistic feedback to guide training, collaborating with researchers in distributed, remote teams to deliver accurate,