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Jobgethervia Lever
Agentic Audio Specialist - Freelance AI Trainer Project
REMOTEPosted 1w ago
ai_annotationMid LevelFull-time
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About the Role
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Agentic Audio Specialist – Freelance AI Trainer Project in India.
This role contributes to a cutting-edge initiative focused on evaluating and benchmarking advanced agentic audio models designed for real-world conversational AI applications. You will help simulate realistic customer support interactions across multiple industries, assessing how AI systems perform in dynamic, human-like scenarios. The work directly influences how next-generation voice and audio agents understand, respond, and adapt in complex service environments. Operating in a remote and flexible contract setting, you will collaborate on structured evaluation frameworks and contribute to high-quality datasets that shape model performance. This is a detail-oriented, research-driven role ideal for individuals who enjoy working at the intersection of language, audio, and AI systems. Your input will play a key role in improving the reliability, naturalness, and usability of conversational AI technologies.
This role contributes to a cutting-edge initiative focused on evaluating and benchmarking advanced agentic audio models designed for real-world conversational AI applications. You will help simulate realistic customer support interactions across multiple industries, assessing how AI systems perform in dynamic, human-like scenarios. The work directly influences how next-generation voice and audio agents understand, respond, and adapt in complex service environments. Operating in a remote and flexible contract setting, you will collaborate on structured evaluation frameworks and contribute to high-quality datasets that shape model performance. This is a detail-oriented, research-driven role ideal for individuals who enjoy working at the intersection of language, audio, and AI systems. Your input will play a key role in improving the reliability, naturalness, and usability of conversational AI technologies.
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