Qa Jobs in Oxnard, CA

Mercor is seeking a Tagalog 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 Tagalog 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 Tagalog , following detailed constraints and instructions. - Produce high-quality written outputs with supporting work in English when required. - Ensure clarity, accuracy, and 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 Tagalog 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 Tagalog and English (spoken and written). * * * ### 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 - You will work in a structured, goal-oriented project environment with clear tooling, guidelines, and support. - This role provides hands-on exposure to real-world AI research and evaluation workflows.