An application made for this job — a tailored resume and cover letter that speak straight to the posting.
OpenTrain AI seeks a Video Annotation Specialist to review robotic task footage, apply grading guidelines, and record structured observations for AI training. You will work remotely from the United States, United Kingdom, Canada, New Zealand, Australia, or Germany, collaborating with trainers and peers to ensure high-quality data delivery.
The role emphasizes accuracy, independence, and timely communication.
AI training is the human side of building artificial intelligence. People review video, label events, and record consistent observations so modern AI systems can learn from high-quality examples. This work offers a way to contribute to cutting-edge technology remotely.
As a Video Annotation Specialist, you will review footage of robotic arms executing assigned tasks. You will identify actions and outcomes, apply detailed grading guidelines to tag events, and record structured observations that support robotics task performance and AI training.
This is an intermediate-level, fully remote contractor engagement for candidates based in the United States, United Kingdom, Canada, New Zealand, Australia, or Germany. The project is expected to run for 3 to 6 months and requires fluent English. The role pays $50 to $90 per hour, with an expected rate of $70 per hour.
You will work carefully through robotic task footage, using annotation platforms to produce accurate, structured data. The role combines detailed visual review with communication, documentation, and quality-focused collaboration.
Applicants should have proven experience with video annotation, data labeling, or similar data-centric projects, along with exceptional accuracy when reviewing visual data. Familiarity with video annotation tools is expected.
Experience in AI training, machine learning data preparation, or robotics is strongly preferred, but prior AI experience is not required. Contributors should be able to work independently while collaborating effectively with trainers and peers.
This opportunity is suited to detail-oriented contributors who can evaluate visual data carefully, follow grading guidance, and communicate clearly when footage is ambiguous. It may be a strong fit for people with video annotation, data labeling, robotics task performance, or AI training experience.
Applicants should be comfortable managing their own work in a remote contractor setting, meeting project milestones, and communicating progress or challenges promptly. The source does not specify required weekly hours or a project end date beyond the expected 3-to-6-month duration.