Job Details

Transcription - Mandarin

$20-45/hr Remote Freelance OTHER

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) | $20 – $45 per hour
• Start Date | Rolling — staffed as projects launch

What you'll do

• Transcribe audio recordings accurately according to provided guidelines and formatting standards.
• Review and edit transcripts for accuracy, grammar, and consistency.
• Evaluate AI-generated transcriptions for correctness, punctuation, and readability.
• Provide constructive feedback to improve AI transcription quality and language models.

You're a great fit if

• Enrolled in or have completed a Bachelor's degree or higher from an accredited institution.
• Experience in transcription, editing, proofreading, or similar language-focused fields (Required).
• Access to reliable audio playback equipment and a quiet workspace (Required).
• Strong ability to produce accurate, detailed, and consistent transcriptions.
• Excellent attention to detail when reviewing spelling, grammar, and formatting.
• Interest in AI, natural language processing, and speech-to-text technology.
• Bonus: Experience with data labeling, linguistic annotation, 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.

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.