Hindi Audio Specialist - Freelance AI Trainer Project

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
• Job title: Hindi Audio Specialist - AI Trainer
• Employment type: Contract
• Workplace type: Remote
• Seniority level: Mid‑Senior Level

Benefits

Additional Information

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.

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Company Intel

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