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.
**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.
**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.
**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.
**Application & Onboarding Process**
- Complete a short AI-led interview (approximately 15 minutes).
- If selected, you will be onboarded and invited to begin project work.
**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.