AI Voice Trainer - English (Contract)

Labelbox • Remote (United States preferred)
Shape the data that powers frontier AI

Quick facts

• Engagement | Hourly, at‑will contractor
• Schedule | Fully remote & asynchronous (min. 15 hrs/week)
• Pay Range (US) | $25 – $100 per hour
• Start Date | Rolling — staffed as projects launch

What you’ll do

• Record high-quality voice samples based on provided scripts and prompts.
• Evaluate AI-generated voice outputs for naturalness, pronunciation, and expressiveness.
• Provide constructive feedback to improve AI-generated speech.
• Review and refine scripts to ensure clarity and natural delivery.

You’re a great fit if

• Enrolled in or have completed an Bachelor's degree or higher from an accredited institution.
• Experience in voice acting, narration, audiobook recording, or similar fields (Required).
• Access to a high-quality microphone and a quiet recording environment (Required).
• Strong ability to deliver clear, expressive, and engaging voice recordings.
• Attention to detail when assessing pronunciation, tone, and clarity in speech. Interest in AI and speech synthesis technology.
• Bonus: Experience with data labeling, RLHF, or other AI training projects

About the role

• Flexible workload — work from anywhere, on your own schedule
• High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
• Clear ownership — know exactly what success looks like and have autonomy to deliver
• Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

Interview process

• Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
• Submit audio samples in your Alignerr dashboard.

About Labelbox

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.