Air Traffic Control Audio Transcription Pilot

You will help improve how AI systems understand air traffic control communications by reviewing real radio transmissions and recording accurate, structured information from them.

• Listen to air traffic control radio transmissions and transcribe them using project guidelines.
• Record headings, altitudes, radio frequencies, and other important flight instructions.
• Use airport diagrams, navigational charts, and aircraft positioning data to check your work.
• Interpret different communication styles, regional accents, and non-fluent English used in international operations.
• Meet a transcription standard of 2% word error rate or better.
• Share practical feedback that can improve project guidelines, processes, and AI understanding of aviation communications.

What it pays and takes

• Pay: $30 to $50 per hour.
• Work type: Remote, part-time contractor work.
• Location: Open to candidates in the countries listed for this role.
• Language: Fluency in English is required.
• Experience: Active or former professional pilot with substantial real-world flight operations experience.
• Skills: Strong attention to detail and the ability to follow structured transcription and annotation protocols.
• You must be comfortable using digital tools, reference materials, navigational charts, and high-quality audio equipment.
• You need reliable internet access, a quiet workspace, and good headphones.
• Experience with data annotation, transcription, or similar structured data projects is helpful.
• Experience with international operations, varied regional accents, airport diagrams, aircraft positioning information, and operational ATC communication is useful.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that understand language, images, audio, and other data. People with practical experience are paid to prepare examples, review outputs, and help AI handle real-world situations more accurately.