Video Annotation Specialist, Remote - Contract

Role Title: Video Annotation Specialist

Role Type: Contract

Location: Remote

Required Skills:

• Video annotation

• Data labeling

• Attention to detail

• Written communication

• Time management

• Video annotation tools

• Collaboration

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.