Remote Thai Audio Content Specialist

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Thai Audio Generalist Evaluator Expert Type: Short-term, structured engagement Compensation: $50/hour Commitment: 10–20 hours/week Role Responsibilities Transcribe and optimize audio and video content in Thai . Ensure clarity and accuracy in outputs with supporting work in English . Define and document evaluation standards. Develop rubrics and guidelines in Thai and English for consistency. Conduct model testing and grading. Evaluate outputs against predefined criteria for accuracy and clarity. Support benchmarking and quality assurance. Participate in QA cycles to ensure tasks meet Mercor’s quality bar. Collaborate with project leads to resolve ambiguities and improve task design. Work independently and asynchronously . Qualifications Must-Have Strong writing, editing, and critical thinking skills. Ability to work independently and manage time effectively. Fluency in Thai and English (spoken and written). Available to commit 10–20 hours per week . Preferred 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 Process (Takes 20–30 mins to complete) Complete a short AI-led interview (approximately 15 minutes). If selected, you will be onboarded and invited to begin project work. Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Job ID: 10523157 / Ref: a204e7f0b55de07b4fe921bd18f5834e

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