Hindi Audio Specialist - Freelance AI Trainer Project

Hindi Audio Specialist - Freelance AI Trainer Project

A project dedicated to assessing and benchmarking advanced agentic audio models against leading systems. The program’s mission is to evaluate and optimize model performance for real-world customer support use cases.

Responsibilities

• Create and execute role-play–based evaluation scenarios that simulate realistic customer service interactions across multiple domains, including:
  • Flight bookings and travel support
  • Financial services
  • Telecommunications and technical support
• Contribute to the development of diverse and representative datasets used to assess conversational audio agents.
• Evaluate model performance across a standardized set of qualitative and quantitative metrics.
• Ensure evaluations reflect real customer expectations for clarity, efficiency, and natural conversational flow.

Evaluation Metrics

Model performance is assessed using a combination of conversational, technical, and audio-specific criteria, including but not limited to:

• Task completion accuracy and efficiency
• Conversational naturalness (tone, flow, and coherence)
• Audio comprehension and response quality
• Instruction adherence and contextual understanding
• Basic computer programming literacy, including:
  • Understanding of JSON structures
  • Familiarity with functions and methods
  • Ability to reason about structured data and simple logic
• Technical communication clarity when handling support-style problem-solving

Technical & Equipment Requirements

• Strong fluency in English
• Strong verbal communication skills in a simulated customer support context
• Hindi proficiency including fluency across all language skills: reading, listening, writing, and speaking.
• Access to a high-quality microphone to ensure clean, reliable audio input during evaluations
• Comfort working with structured prompts, evaluation rubrics, and technical guidelines
• Device capable of running audio recording software and opening large technical documentation