Data Labeling Expert - Remote Job Philadelphia Pennsylvania USA,IT/Tech

Role

Title:

Video Annotation Specialist Role Type:
Contractor

Location:

Remote

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.