Job Title: Video Annotation Specialist
Job Type: Contractor
Location: Remote USA based
About the hiring company:
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.
The company works with highly accomplished professionals in fields such as software engineering, finance, healthcare, legal, operations, research, and other specialized domains. These experts contribute directly to the development of advanced AI systems by providing real-world knowledge, evaluations, feedback, and domain-specific judgment that help models reason more accurately and perform more effectively.
Leveraging a proprietary AI-driven talent assessment and matching platform, the organization identifies exceptional professionals globally and connects them with high-impact projects at the forefront of artificial intelligence.
Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy and creating meaningful opportunities for professionals to apply their expertise in entirely new ways.
Job Summary:
Engaging expert Video Annotation professionals to contribute to a project focused on reviewing and annotating videos of robotic arms performing designated tasks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This engagement centers on precise video review and annotation according to detailed grading guidelines. High attention to detail and a strong sense of self-organization are essential, and a background in AI training projects is highly preferred.
Scope of Work
Review video footage of robotic arms executing assigned tasks to identify key actions and outcomes.
Apply detailed grading guidelines to accurately tag and annotate events within the video sessions.
Utilize video annotation tools and platforms to record structured observations and support data labeling efforts.
Collaborate with project trainers and other contributors to resolve ambiguities and ensure annotation consistency.
Document findings and submit annotated datasets in alignment with project standards and milestones.
Communicate progress, challenges, and insights promptly using both written and verbal channels as required.
Participate in ongoing quality reviews to maintain high annotation standards and address feedback.
Preferred Qualifications
Proven experience with video annotation, data labeling, or similar data-centric annotation projects.
Exceptional attention to detail and accuracy in reviewing and tagging visual data.
Strong written and verbal communication skills for effective collaboration and reporting.
Demonstrated time management and self-organization abilities for independent project participation.
Familiarity with video annotation tools and software platforms.
Background in AI training, machine learning data preparation, or robotics projects (strongly preferred).
Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges.
A very attractive and competitive package is offered.
The company is a venture-backed AI organization that helps leading AI companies build, evaluate, and improve cutting-edge models by combining human expertise with advanced machine learning workflows. They operate a proprietary AI-driven talent assessment and matching platform that identifies exceptional professionals globally and connects them with high-impact AI projects across diverse domains including software engineering, finance, healthcare, legal, and research. The company has raised over $40 million in funding and is building human intelligence infrastructure for the AI economy by leveraging a rapidly expanding international network of domain experts who provide real-world knowledge, evaluations, and specialized judgment to help AI models reason more accurately and perform effectively.
