ATC Transciption - 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) - \$20 – \$30 per hour
- Start Date - Rolling — staffed as projects launch
What you’ll do
- Transcribe ATC communications audio recordings accurately according to provided guidelines and formatting standards.
- Review and edit transcripts for accuracy, grammar, and consistency.
- Evaluate real tower-to-pilot ATC transcriptions for correctness, punctuation, and readability.
- Audios include heavy accents, background noise, and fast-paced aviation phraseology, so operational familiarity is essential.
- Provide constructive feedback to improve tower-to-pilot audio quality.
You’re a great fit if
- You have experience as an aviation professional, pilot, flight instructor, or ATC operator with strong experience in ATC communications.
- You have experience in transcription, editing, proofreading, or similar language-focused fields (Required).
- You have access to reliable audio playback equipment and a quiet workspace (Required).
- You have a strong ability to produce accurate, detailed, and consistent transcriptions.
- You have excellent attention to detail when reviewing spelling, grammar, and formatting.
- You have an 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
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.
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