Video Data Reviewer - Remote
YO IT Consulting · New York, United States
- Hybrid
- Full-time
- $40,000 / year
- New York, United States
Job highlights
- Review and refine AI training video data.
- Ensure accuracy of hand movements and object interactions.
- Validate action timing and caption atomicity.
- Provide feedback to improve AI models.
- Work remotely with high attention to detail.
About the role
Video Data Reviewer
Join our customer's team as a Video Data Reviewer. 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.
Key Responsibilities
- Review and refine model-generated video annotations to ensure accuracy and precision in describing hand movements and object interactions.
- Validate and correct action timing, ensuring boundaries align with the start and end of each labeled activity.
- Assess and edit captions for atomicity, confirming each label describes a single, independent action.
- Verify correct identification of left versus right hand usage in all annotated segments.
- Flag low-quality, ambiguous, or incomplete labels for rework based on project standards.
- Maintain consistent labeling quality by adhering to established annotation rubrics and structured review pipelines.
- Provide actionable feedback to help enhance annotation models, and collaborate with team leads to resolve edge cases.
Required Skills And Qualifications
- Keen visual discrimination skills and high attention to detail, especially when analyzing 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 skills, ensuring clear and concise captioning and feedback.
- Demonstrated process adherence and willingness to follow detailed guidelines and incorporate prompt feedback.
- Reliable high-speed internet connection and a computer capable of smooth video playback.
- Ability to work productively and autonomously while meeting daily throughput and quality targets.
Preferred Qualifications
- Experience in video annotation, labeling, transcription, or content moderation roles.
- Familiarity with annotation software such as CVAT, Labelbox, Scale, V7, or Encord.
- Background in fields requiring precise observation of human movement (e.g., occupational therapy, kinesiology, sign language interpretation, sports analysis).
Key skills/competency
- Video Annotation
- Data Review
- AI Training
- Quality Assurance
- Attention to Detail
- Process Adherence
- Annotation Tools
- Feedback Provision
- Visual Discrimination
- Content Moderation
Skills & topics
- Video Data Reviewer
- Data Annotation
- AI Training
- Remote Work
- Quality Assurance
- Content Moderation
- Computer Vision
- Machine Learning
- YO IT Consulting
- Contractor
How to get hired
- Tailor your resume: Highlight visual discrimination and attention to detail skills.
- Showcase relevant experience: Emphasize annotation, labeling, or content moderation roles.
- Demonstrate process adherence: Mention ability to follow guidelines and work autonomously.
- Prepare for technical checks: Ensure a reliable internet connection and suitable computer.
- Highlight communication skills: Mention experience in providing clear feedback.
Technical preparation
Practice analyzing video for details.,Familiarize with annotation tool concepts.,Test your internet speed and stability.,Ensure your computer handles video playback.
Behavioral questions
How do you maintain focus during repetitive tasks?,Describe a time you followed complex guidelines.,How do you provide constructive feedback?,How do you manage your time autonomously?
Frequently asked questions
- What are the primary responsibilities of a Video Data Reviewer at YO IT Consulting?
- As a Video Data Reviewer, you will be responsible for reviewing and refining AI-generated video annotations, validating action timing, editing captions for clarity, and flagging low-quality labels to ensure accuracy in training AI systems. You will also provide feedback to enhance annotation models.
- Do I need prior AI experience to become a Video Data Reviewer?
- No, prior experience in AI is not required for the Video Data Reviewer position. Your existing domain knowledge and keen observational skills are highly valued to contribute to training next-generation AI systems.
- What technical equipment is necessary for this remote role?
- For this remote Video Data Reviewer role, you will need a reliable high-speed internet connection and a computer capable of smooth video playback to effectively perform your duties.
- How important is attention to detail for a Video Data Reviewer?
- Attention to detail is crucial for a Video Data Reviewer. You'll need keen visual discrimination skills to accurately analyze repetitive video content, ensure precision in descriptions, and maintain high labeling quality.
- Can I work autonomously as a Video Data Reviewer?
- Yes, the role requires the ability to work productively and autonomously. You will be expected to meet daily throughput and quality targets independently.
- What kind of feedback is expected from a Video Data Reviewer?
- Video Data Reviewers are expected to provide actionable feedback to help enhance annotation models. This includes identifying edge cases and communicating observations clearly to team leads.
- Are there preferred qualifications for this role?
- Preferred qualifications include experience in video annotation, labeling, transcription, or content moderation. Familiarity with annotation software like CVAT or Labelbox, and backgrounds in fields observing human movement are also beneficial.
- What is the work arrangement for the Video Data Reviewer position?
- The Video Data Reviewer position is fully remote, allowing you to work from your own location.