Audio Specialist – Freelance AI Trainer Project

The hiring organization partners with AI development teams to evaluate and benchmark advanced conversational audio models for real-world customer support applications. The Audio Specialist – AI Trainer will design and execute realistic role-play scenarios, assess model performance across qualitative and quantitative metrics, and contribute to improving conversational accuracy, clarity, and overall audio response quality.

The Audio Specialist – AI Trainer supports the evaluation and optimization of advanced conversational audio models designed for customer support use cases. This contract role focuses on simulating realistic service interactions, assessing model outputs, and contributing structured feedback to improve conversational accuracy, clarity, and performance.

Responsibilities:
- Create and execute role-play evaluation scenarios simulating real customer service interactions  
- Evaluate model responses in domains such as travel support, financial services, and telecommunications  
- Contribute to building diverse datasets for assessing conversational audio agents  
- Assess task completion accuracy, conversational flow, and contextual understanding  
- Apply standardized evaluation rubrics to measure qualitative and quantitative performance  
- Document findings and provide structured feedback to improve model capabilities  

Requirements:
- Strong verbal communication skills in simulated customer support contexts  
- Basic programming literacy, including understanding JSON structures and simple logic  
- Ability to evaluate structured prompts and technical guidelines  
- Access to a high-quality microphone for clear audio input  
- Strong analytical skills and attention to detail  
- Comfort working independently in a remote, contract-based environment  

Benefits:
- Flexible contract-based remote work  
- Compensation based on experience and geographic location  
- Opportunity to influence the performance of next-generation conversational AI systems  
- Exposure to structured evaluation methodologies in AI development  

This project-based opportunity allows professionals to contribute to benchmarking and refining advanced audio-based AI agents for real-world customer service environments.