ATC Transcription - English

Flexible, at-will contractor role with a fully remote and asynchronous schedule (minimum 15 hours per week). Pay range: \$20 – \$30 per hour (US). Start dates are rolling as projects launch.

Responsibilities

• 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.
• Handle audios with heavy accents, background noise, and fast-paced aviation phraseology; operational familiarity is essential.
• Provide constructive feedback to improve tower-to-pilot audio quality.

Requirements

• Experience as an aviation professional, pilot, flight instructor, or ATC operator with strong experience in ATC communications.
• 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.

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.