Mercor is seeking an **Argentinian Spanish 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 ideal for candidates with strong academic or analytical backgrounds who are fluent in **Spanish (Argentina) and English** and enjoy translating complex audio and visual information into precise, well-structured text.
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## **Job Responsibilities**
### **Transcribe and Optimize Audio & Video**
- Listen to, analyze, and transcribe audio and video content in **Spanish (Argentina)**, following detailed constraints and instructions.
- Produce high-quality written outputs, with supporting work in **English when required**.
- Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines.
### **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 Spanish (Argentina) and English.
- Document standards to ensure consistency across reviewers and model evaluations.
### **Conduct Model Testing and Grading**
- Run prompts through language models and assess generated outputs.
- Evaluate responses against predefined criteria for **accuracy, completeness, and instructional clarity**.
### **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 before datasets are integrated into official benchmarks.
- Collaborate with project leads to resolve ambiguities and improve task design.
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## **Minimum Qualifications**
- Strong writing, editing, and critical thinking skills.
- Ability to work independently, manage time effectively, and meet deadlines.
- Fluency in **Spanish (Argentina) and English** (spoken and written).
- Available to commit **10–20 hours per week**.
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## **Preferred Qualifications**
- College students or recent graduates.
- Background in linguistics, humanities, social sciences, or technical fields.
- Prior experience with **transcription, annotation, evaluation, or research workflows**.
- Interest in AI, language models, or applied research environments.
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## **Application & Onboarding Process**
- Complete a short AI-led interview (approximately 15 minutes).
- If selected, you will be onboarded and invited to begin project work.
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## **Additional Role Details**
- Work in a structured, goal-oriented project environment with clear tooling, guidelines, and support.
- Gain hands-on exposure to real-world AI research and evaluation workflows.
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