Video Data Annotator - Remote
YO IT Consulting · United States
- Hybrid
- Full-time
- $50,000 / year
- United States
Job highlights
- Review video data to train AI systems.
- Ensure accuracy of hand movements and object interactions.
- Validate timing and caption atomicity.
- Maintain high quality and adhere to guidelines.
- Work productively and autonomously remotely.
About the role
Video Data Annotator - Remote
Join our customer's team as a Video Data Annotator and play a crucial role in training next-generation AI systems. Your work will directly shape how models learn, reason, and perform by providing high-quality, real-world input. No prior AI experience is necessary; your domain knowledge is highly valued.
Key Responsibilities
- Review and refine model-generated video annotations for accuracy in describing hand movements and object interactions.
- Validate and correct action timing, ensuring accurate start and end boundaries for labeled activities.
- Assess and edit captions for atomicity, ensuring each label represents a single, independent action.
- Verify correct identification of left vs. right hand usage in all annotated segments.
- Flag low-quality, ambiguous, or incomplete labels for rework according to project standards.
- Maintain consistent labeling quality by adhering to annotation rubrics and structured review pipelines.
- Provide actionable feedback to enhance annotation models and collaborate with team leads on edge cases.
Required Skills And Qualifications
- Keen visual discrimination and high attention to detail, especially with repetitive video content.
- Ability to maintain focus and deliver reliable quality throughout long video review sessions.
- Comfort with web-based annotation tools and time-coded video platforms.
- Strong written and verbal communication for clear captioning and feedback.
- Demonstrated process adherence and willingness to follow detailed guidelines and incorporate feedback.
- Reliable high-speed internet and a computer capable of smooth video playback.
- Ability to work productively and autonomously, meeting daily throughput and quality targets.
Preferred Qualifications
- Experience in video annotation, labeling, transcription, or content moderation.
- Familiarity with annotation software (e.g., CVAT, Labelbox, Scale, V7, Encord).
- Background in fields requiring precise observation of human movement (e.g., occupational therapy, kinesiology, sign language, sports analysis).
Key skills/competency
- Video Data Annotation
- AI Training Data
- Hand Movement Analysis
- Object Interaction Labeling
- Captioning Accuracy
- Quality Assurance
- Data Refinement
- Annotation Tools
- Process Adherence
- Autonomous Work
Skills & topics
- Video Data Annotator
- Data Annotation
- AI Training Data
- Machine Learning
- Remote Work
- Contractor
- Data Reviewer
- Quality Assurance
- Video Analysis
- Captioning
How to get hired
- Tailor your resume: Highlight visual discrimination, attention to detail, and any experience with video analysis or annotation tools.
- Showcase your skills: Emphasize your ability to follow detailed guidelines and work autonomously in your application.
- Prepare for the interview: Be ready to discuss your process for maintaining focus and quality during repetitive tasks.
- Demonstrate technical readiness: Confirm you have reliable high-speed internet and a capable computer for video playback.
Technical preparation
Familiarize yourself with video annotation tools.,Practice detailed visual analysis of video content.,Ensure stable internet and functional computer.,Understand time-coded video analysis principles.
Behavioral questions
How do you maintain focus during repetitive tasks?,Describe your process for ensuring accuracy.,How do you handle ambiguity in instructions?,How do you manage your workload autonomously?
Frequently asked questions
- What is the primary responsibility of a Video Data Annotator at YO IT Consulting?
- As a Video Data Annotator, your main role is to review and refine model-generated video annotations to ensure the accuracy and precision of AI training data, focusing on aspects like hand movements, object interactions, and captioning.
- Is prior experience in AI necessary to become a Video Data Annotator?
- No, prior experience in AI is not required. YO IT Consulting values your domain knowledge and ability to meticulously analyze video content and follow guidelines.
- What technical requirements are needed for the remote Video Data Annotator role?
- You will need a reliable high-speed internet connection and a computer that can smoothly play video content to perform the duties of a Video Data Annotator.
- How is quality assessed for Video Data Annotator work?
- Quality is maintained through adherence to established annotation rubrics, structured review pipelines, and meeting daily throughput and quality targets. You will also flag low-quality labels for rework.
- What kind of feedback is expected from a Video Data Annotator?
- Video Data Annotators are expected to provide actionable feedback to help enhance annotation models and collaborate with team leads to resolve any edge cases or ambiguities in the data.
- Can I apply for the Video Data Annotator role if I have experience with specific annotation software?
- Yes, familiarity with annotation software such as CVAT, Labelbox, Scale, V7, or Encord is considered a preferred qualification and can strengthen your application for the Video Data Annotator position.