AI Language Trainer - London
from 🇬🇧 United Kingdom
$10 - $15
Wing Data is looking forFreelance AI Audio & Video Trainers to support one of our clients on an AI Training Audio & Video Participation Study.
This is a flexible, project-based opportunity rather than a full-time or monthly position. Work is assigned based on availability, and tasks may range from a single 5-minute session to several hours of work.
- British English
What You'll Do
- Record audio/video tasks that help train next-generation AI systems.
- Review requirements, then continue to partner onboarding.
- You will participate in audio/video recording tasks that may involve speaking, labeling, reviewing, or following on-screen instructions.
- Your submissions support the development and training of next-generation AI systems.
- We are collecting high-quality human data to improve how AI understands speech, behavior, communication, and real-world interactions.
- Follow task instructions carefully and record in a clear, accurate, and suitable environment.
Responsibilities
You must meet all of the following:
1080P Camera
Phone or webcam with at least 1080p resolution for video (validated during onboarding).
Eligible Language
You speak British English language fluently (verified during onboarding).
Government ID
Valid government-issued ID for identity verification.
Quiet Space
Tasks completed in a quiet room; background noise may cause automatic audio failures.
Even Lighting
Face-on, natural light works well; avoid strong backlighting, shadows, or dark rooms.
Compensation
- We offer a pay range of $10 - $15 per hour, with the exact rate determined based on experience, expertise, and geographic location. Final offer amounts may vary from this listed range
- Pay is structured around an hourly rate and prorated by task length.
Important: While submitting your application,please complete our short screening form here:
[https://forms.gle/HauJ3djs6iYvfHgv7 ]
We will ONLY review candidates who complete both the application and the screening form. The form takes about ~60 seconds to complete.