Video Annotation Specialist

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.