Audio Model Trainer

Description:

Mercor, a San Francisco–based company backed by leading investors such as Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey, is seeking motivated Audio Model Trainers – Linguistics to support advanced AI research. This contract-based, remote role involves helping to train and improve next-generation AI models across both auditory and visual domains.

As an Audio Data Evaluator, you will play a vital role in refining AI systems by assessing audio quality, evaluating multimedia data, and recording short audio samples. You will be working closely with AI researchers and QA teams, ensuring that all recordings meet quality standards and that linguistic, timing, and stylistic requirements are consistently followed. This opportunity is flexible, remote, and offers competitive hourly compensation for candidates who are detail-oriented and have strong communication skills.

Key Responsibilities:

• Evaluate multimedia content, particularly videos, and provide structured feedback.

• Record high-quality audio clips (2–3 minutes) using Mercor’s tools, ensuring recordings are clear and free of background noise.

• Adhere to linguistic, stylistic, and timing guidelines provided by the research team.

• Collaborate with AI researchers and QA teams to enhance data quality.

• Maintain consistency, accuracy, and precision in all assigned tasks.

Requirements:

• Must-Have:

  • Native or near-native fluency in English.

  • Excellent verbal communication and enunciation skills.

  • Ability to work independently with strong attention to detail.

  • Comfort with repetitive tasks while maintaining accuracy.

• Preferred:

  • Previous experience in voice recording or data annotation.

  • Fluency in additional languages.

  • Familiarity with AI, machine learning, and multimodal data systems.

Engagement Details:

• Contract role – Remote work with flexible hours.

• Compensation: Up to $20 per hour.

• Time commitment: Flexible, outcome-focused structure.

Application Process:
The application process typically takes 20–30 minutes and includes the following steps:

1. Upload your resume.

2. Complete an AI-driven interview based on your resume.

3. Submit the required application form.

Resources & Support:

• For application guidelines and platform details: Mercor Talent Documentation

• For technical help or support during the process: support@mercor.com

Desired Skills & Competencies:

• Strong attention to detail and critical thinking ability.

• Audio recording techniques and best practices.

• Data annotation and quality assurance skills.

• Time management and problem-solving capabilities.

• Team collaboration and communication skills.