Spanish Linguistic Specialist for AI Evaluation & Data

Obsidian; San Francisco (CA); Remote; USD 65,000 - 90,000; Full time

Job summary

Mercor is seeking experienced Spanish Linguistic Experts to join a cutting-edge AI research project. The role focuses on evaluating LLM performance in Spanish tasks and curating high-quality Spanish linguistic data to train and improve model understanding and generation capabilities.

You will evaluate, edit, annotate, and provide linguistic feedback to guide ongoing model training efforts, collaborating with AI researchers in a distributed, remote team environment.

Qualifications

• Native or near-native fluency in Spanish with strong grammar and style.
• Professional experience in translation, editing, linguistic annotation, or NLP data work in Spanish.
• Understanding of linguistic nuances and regional variations.
• Interest in AI and LLM-based language technologies.
• Attention to detail and ability to spot subtle errors.
• Clear communication and experience working in distributed, remote teams.

Responsibilities

• 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, and collaborate with AI researchers to improve LLM performance.
• Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

Skills

Spanish language proficiency

Linguistic annotation

Quality assurance

Job description

Mercor is seeking experienced Spanish Linguistic Experts to join a cutting-edge AI research project. The role focuses on evaluating LLM performance in Spanish tasks and curating high-quality Spanish linguistic data to train and improve model understanding and generation capabilities.

You will evaluate, edit, annotate, and provide linguistic feedback to guide ongoing model training efforts, collaborating with AI researchers in a distributed, remote team environment.