Mercor is seeking a Basque Audio Generalist Evaluator Expert to contribute to a high-impact audio AI research project with a leading research lab. In this role, you will work on transcription, annotation, and evaluation tasks that help train and benchmark advanced language models. This is a short-term, structured engagement idóneo for candidates with strong academic or analytical backgrounds who are fluent in Basque (Euskara) and English and enjoy translating complex audio and visual information into precise, well-structured text.
Job ResponsibilitiesTranscribe and Optimize Audio & Video
- Listen to, analyze, and transcribe audio and video content in Basque (Euskara), following detailed constraints and instructions.
- Produce high-quality written outputs in Basque, with supporting work in English when required.
- Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines.
- Capture nuances such as tone, intent, formal vs. informal register, dialectal variations, regional expressions, and contemporary Basque usage where relevant.





Define and Document Evaluation Standards
- Establish clear expectations for correct and high-quality responses in general consumer audio contexts.
- Develop detailed evaluation rubrics and grading guidelines in Basque and English.
- Document standards to ensure consistency across reviewers and model evaluations.
- Identify linguistic nuances, grammatical complexities, dialectal differences, colloquialisms, and edge cases specific to Basque.

Conduct Model Testing and Grading
- Run prompts through language models and assess generated outputs.
- Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity.
- Provide structured feedback to improve model performance in Basque audio tasks.

Support Benchmarking and Quality Assurance
- Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet Mercor’s quality bar.
- Maintain consistency and reliability

📌 Basque Audio Expert (Madrid)
🏢 Obsidian
📍 Madrid