A technology company building AI systems for autonomous vehicles is hiring remote freelance video annotators to label 36-second driving videos for road safety AI training. The role is fully remote, offers a flexible schedule, and pays per video with performance bonuses on top. No prior AI experience is required — extreme attention to detail and consistent daily availability are the core requirements.
About This Role
Video annotation is one of the foundational tasks that makes autonomous vehicle AI possible. You’ll watch short driving clips — each 36 seconds long — and label specific elements within them according to provided guidelines. Your annotations directly feed into machine learning models designed to make self-driving vehicles safer on roads worldwide.
This is a full-time freelance engagement, meaning the expectation is consistent daily output — not occasional contributions. The flexible schedule means you choose when you work, but the volume and quality targets are firm.
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Key Responsibilities
- Watch and annotate 36-second driving video clips with high accuracy
- Label objects, events, or driving behaviours as specified in the project annotation guidelines
- Maintain consistent annotation quality across daily output
- Meet strict daily or weekly productivity deadlines
- Follow quality assurance protocols and accept feedback to maintain accuracy standards
- Submit completed annotations through the designated platform or tool
Required Qualifications
Skills & Attributes
- Extreme attention to detail — annotation accuracy is the single most important performance metric
- Consistent daily availability — this is a full-time freelance commitment, not occasional gig work
- Ability to meet strict deadlines and maintain output targets
- Basic computer literacy and ability to use annotation software (training typically provided)
- Reliable internet connection and personal computer
No formal qualifications required. Prior experience in data annotation, video labelling, or AI projects is an advantage but not a prerequisite — most annotation projects provide tool-specific training before you begin.
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Salary, Contract & Location Details
Compensation
Competitive pay per video annotated — exact rate not disclosed in the listing. Performance bonuses are available for high-accuracy contributors. Confirm the per-video rate, minimum daily output expectations, payment currency, and payment method (PayPal, Wise, bank transfer, or platform wallet) directly with the hiring organisation before committing.
For reference, freelance video annotation rates in the AI industry typically range from $0.10–$0.50 USD per short clip or $8–$20 USD per hour depending on task complexity, accuracy requirements, and the platform. Confirm your expected earnings against these benchmarks before accepting.
Contract Type
Full-time freelance — project-based with ongoing availability expected.
Time Zone Requirements
Not specified. Flexible schedule — you work your own hours as long as daily output targets are met.
Location Eligibility
Fully remote — open to applicants worldwide. No geographic restrictions stated.
How to Apply
Application Deadline
Not stated. Apply immediately — annotation project cohorts typically onboard in batches.
How to Submit
Apply through the official application channel provided by the hiring organisation. Ensure you have the following ready:
- Brief note on your daily availability and time zone
- Any prior annotation, data labelling, or AI project experience — even informal
- Confirmation that you have a reliable computer and internet connection
About the Hiring Organisation
The employer is building AI systems for autonomous vehicles with a mission focused on road safety. Video annotation of real driving footage is a core part of their model training pipeline. The organisation has not been publicly named in this listing — confirm the company identity, payment terms, and project scope before submitting any personal information or beginning work.
