Spanish (US) Linguistic Expert at Mercor
posted 38 minutes agoSpanish (US) Linguistic Expert | $40/hr | Part-time, Remote
Mercor is hiring Spanish (United States) linguistic experts for an AI research project run in partnership with a leading research lab. The work focuses on evaluating how well a large language model (LLM) performs on U.S. Spanish-language tasks, and on curating high-quality Spanish linguistic data to train and improve the model.
What the work involves
- Evaluating the quality and accuracy of LLM-generated Spanish text across use cases such as translation, summarization, dialogue, and grammar correction.
- Editing, refining, or rewriting Spanish content to meet linguistic and cultural standards for Spanish-speaking communities in the United States.
- Annotating Spanish text for grammatical, syntactic, and semantic features.
- Identifying model errors and language gaps, and collaborating with AI researchers to improve LLM performance.
- Providing detailed linguistic feedback and analysis to guide ongoing model training.
Who it's for
- Native or near-native fluency in Spanish (United States), with an excellent command of grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Spanish.
- Strong understanding of U.S. Spanish nuances, regional variations, register, and context-appropriate usage, including how it differs from Latin American and Peninsular Spanish.
- Professional fluency in English.
- Interest in AI and LLM-driven language technologies (preferred, not required).
- Excellent attention to detail and the ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.
Pay and schedule
The role pays $40/hr on a part-time commitment. The position is remote.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.