Latin American Spanish Linguistic Expert at Mercor
posted 1 hour agoLatin American Spanish Linguistic Expert | $40/hr | Remote | Part Time
Mercor is hiring Latin American Spanish Linguistic Experts for an AI research project run in partnership with a leading research lab. You will evaluate how well a large language model (LLM) performs on Latin American Spanish tasks and curate high-quality Spanish linguistic data to train and improve the model's understanding and generation capabilities.
What the work involves
- Evaluate the quality and accuracy of LLM-generated Spanish text across use cases such as translation, summarization, dialogue, and grammar correction.
- Edit, refine, or rewrite Spanish content to meet linguistic and cultural standards for Latin America.
- 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.
Who this role is for
- Native or near-native fluency in Latin American Spanish, with strong command of grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or Spanish NLP data work.
- Understanding of Latin American Spanish nuances, regional variations, register, and context-appropriate usage, including how it differs from Peninsular (European) Spanish.
- Professional fluency in English.
- Strong attention to detail and the ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.
- Interest in AI and LLM-driven language technologies is preferred but not required.
Pay and schedule
$40 per hour. This is a part-time commitment.
Location
This is a fully remote role.
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.