Remote Spanish AI Linguistic Expert

Mercor; United States; Remote; USD 65,000 - 95,000; Full time

Job summary

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 evaluate, edit, and annotate Spanish text, identifying model errors and linguistic gaps, and provide

Qualifications

• Native or near-native fluency in Spanish with strong grammar and style.
• Experience in translation, editing, linguistic annotation, or NLP data work.
• Solid understanding of linguistic nuances and regional usage.
• Interest in AI/LLM-driven language technologies preferred.
• Excellent attention to detail and ability to spot subtle phrasing issues.
• Clear communication and experience working in distributed, remote teams.

Responsibilities

• Evaluate LLM-generated Spanish text across translation, summarization, dialogue, and grammar tasks.
• 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; collaborate with AI researchers to improve performance.
• Provide detailed linguistic feedback to guide ongoing model training efforts.

Skills

Spanish fluency

Editing

Linguistic annotation

NLP data work

Quality evaluation

Job description

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 evaluate, edit, and annotate Spanish text, identifying model errors and linguistic gaps, and provide