About the role
Transciption - Mandarin (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) - \$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.
Ready to Apply?
Click “Apply” above!
We review candidates on a rolling basis and will contact you if your background matches an active project.
Aplyr's read
Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.
What's promising
- •Labelbox offers a robust platform that significantly accelerates AI model training.
- •The company is at the forefront of AI data annotation, a rapidly growing field.
- •Recent roles indicate a strong focus on diverse AI applications and research.
What to watch
- •The niche focus on data annotation may limit broader tech career opportunities.
- •Highly specialized roles might require advanced expertise in AI and machine learning.
- •Potential candidates may face intense competition due to the company's innovative reputation.
Why Labelbox
- •Labelbox uniquely integrates data annotation with AI model improvement.
- •The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
- •Its platform is designed to streamline complex data labeling processes efficiently.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Labelbox
Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.
