Voice Data Specialist - Remote @ Mercor
Your Application Journey
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Job Details
Company Introduction
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Role Overview
Position: Audio Data Evaluator – Contract, Remote Commitment: Flexible hours Join a cutting-edge AI research initiative. Support the development of next-generation models across visual and auditory domains.
Responsibilities
- Evaluate videos and determine preferences.
- Record short audio clips (2-3 minutes) using provided tools.
- Ensure recordings are free from background noise or distortion.
- Follow linguistic, timing, or stylistic guidelines from the research team.
- Collaborate with AI researchers and QA teams to review and improve data quality.
Requirements / Qualifications
Must-Have Qualifications:
- Excellent verbal communication and enunciation skills
- Native or near-native fluency in English
- Strong attention to detail and ability to follow guidelines
- Comfortable working independently and handling repetitive tasks
Preferred Qualifications:
- Experience with voice recording or data annotation is a plus
- Fluency in other languages is a plus
Engagement Details
$20/hour compensation Flexible, remote-friendly work structure Contract type: Remote
Application Process
Upload resume, complete an AI interview based on your resume, and submit the form. Process takes 20-30 minutes to complete.
Resources & Support
For details about the interview process and platform information, please visit this link. For any help or support, reach out to: support@mercor.com
Key skills/competency
- Audio Evaluation
- Data Annotation
- Voice Recording
- Remote Work
- Attention to Detail
- English Proficiency
- Quality Assurance
- Communication
- Flexibility
- AI Research
How to Get Hired at Mercor
🎯 Tips for Getting Hired
- Customize resume: Tailor your experience to voice data evaluation.
- Showcase skills: Emphasize audio evaluation and communication.
- Prepare examples: Share past voice recording or data work.
- Engage research: Demonstrate interest in AI initiatives.