Review robotic-arm footage, identify key actions, and create accurate video annotations that support machine learning and AI training. This remote contractor role pays $50-$90 per hour and runs an expected 3 to 6 months.
Image & Video Annotation
Remote Hourly · $50–$90/hr
$50–$90/hr
Compensation
8 countries
Eligibility
Expert
Experience
Sep 5, 2026
Posted
Open to applicants in
United Kingdom United States Canada Australia France Russia New Zealand Brazil
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Remote contract work with an expected project duration of 3 to 6 months
Hourly compensation of $50 to $90 USD
Open to candidates based in the United Kingdom, United States, Canada, Australia, France, Russia, New Zealand, or Brazil
About AI Training and Video Annotation
AI training is the human work behind modern artificial intelligence. Contributors review, label, and evaluate examples so machine learning systems can learn from structured, high-quality data. In this project, annotated video helps capture how robotic arms perform assigned tasks and what outcomes occur during each session.
Work with visual data from robotic-arm task sessions
Support machine learning data preparation and robotics-focused AI training
Help improve the consistency and usefulness of datasets used to develop AI systems
The Role
As a Video Annotation Specialist, you will review footage of robotic arms executing assigned tasks, identify important actions and outcomes, and apply detailed grading guidelines. You will use video annotation tools and platforms to record structured observations, submit datasets, and help maintain consistent labeling standards across the project.
This is an expert-level contractor opportunity for candidates with strong visual review skills, careful judgment, and experience in video annotation, data labeling, or similar data-centric projects.
Role type: Contractor
Location: Remote
Expected project duration: 3 to 6 months
Hourly rate: $50-$90 USD
What You'll Do
You will work independently on detailed visual data tasks while collaborating with project trainers and other contributors when questions or ambiguities arise. Clear documentation and timely communication will be important throughout the engagement.
Review video footage of robotic arms performing assigned tasks
Identify key actions and outcomes within video sessions
Apply detailed grading guidelines to tag and annotate events accurately
Use video annotation tools and platforms to record structured observations
Document findings and submit annotated datasets according to project standards and milestones
Communicate progress, challenges, and insights through written and verbal channels as required
Participate in quality reviews and respond to feedback
Collaborate with project trainers and contributors to resolve ambiguities and improve consistency
Requirements and Preferred Qualifications
The project requires fluent English proficiency and exceptional accuracy when reviewing and tagging visual data. Candidates should be able to organize their work independently, communicate clearly, and take a proactive approach to resolving annotation challenges.
Experience with video annotation, data labeling, or comparable annotation projects is preferred. A background in AI training, machine learning data preparation, or robotics projects is strongly preferred, along with familiarity with video annotation software platforms.
Fluent English proficiency
Expert-level experience relevant to the project
Exceptional attention to detail and accuracy
Strong written and verbal communication skills
Time management and self-organization for independent project participation
Familiarity with video annotation tools and software platforms
Analytical and problem-solving mindset
Background in AI training, machine learning data preparation, or robotics projects strongly preferred
Must be based in the United Kingdom, United States, Canada, Australia, France, Russia, New Zealand, or Brazil
Why This Work Matters
Every major AI system depends on people who prepare and evaluate high-quality examples. By carefully labeling robotic actions and outcomes, you will contribute directly to the data foundation used in cutting-edge machine learning and robotics development.
Apply specialized annotation expertise to an AI training project
Work with real-world robotic task footage
Contribute to the human side of building advanced AI systems
How to Apply Through OpenTrain
Create a free OpenTrain account and apply in minutes. Your profile can help you discover and build a career across AI training and data labeling projects, while this opportunity lets you bring your video annotation and robotics-related experience to a focused remote engagement.
Confirm that your location and English proficiency meet the project requirements
Highlight video annotation, data labeling, AI training, machine learning, or robotics experience
Apply through OpenTrain for consideration as a contractor
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