About The Role We're building next-generation AI systems for aviation and autonomous flight — and we need people who actually speak the language of the skies. If you understand aviation radio communications, this is a rare opportunity to put that knowledge to work on cutting-edge AI research. This is not generic transcription work. This role requires real familiarity with ATC phraseology, callsigns, and the fast-paced, noisy reality of real-world radio communications.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-Based Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Transcribe real-world Air Traffic Control (ATC) and pilot audio recordings with precision
• Label speakers, callsigns, instructions, and responses accurately
• Capture aviation-specific terminology, abbreviations, and phraseology correctly
• Complete task-based assignments on your own schedule
• Maintain high quality and accuracy standards — your work directly impacts aviation AI safety

Who You Are This role is a great fit if you are:

• A pilot, student pilot, Air Traffic Controller, or other aviation professional
• An aviation enthusiast who regularly listens to and understands ATC communications
• Someone with strong familiarity with standard aviation radio phraseology
• Extremely detail-oriented and patient with audio work
• Able to work independently and meet accuracy standards consistently

You don't need to be a professional transcriptionist — but you do need to genuinely understand how aviation communications work.

Nice to Have

• Experience with LiveATC or similar ATC audio platforms
• Background in aviation operations, dispatch, or flight instruction
• Familiarity with ICAO or FAA communication standards

Why Join Us

• Work on cutting-edge AI projects shaping the future of aviation safety and autonomy
• Fully remote and flexible — work on your own schedule, at your own pace
• Freelance perks: autonomy, variety, and global collaboration
• High-quality contributors receive priority access to more work and higher-volume assignments
• Contribute to meaningful AI systems with real-world safety implications
• Potential for ongoing work and contract extension