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Job Description: Data Annotator – Video/Image Labeling (Computer Vision)
This role supports a Computer Vision-driven video analytics project by creating high-quality labeled datasets for model training. The annotator will work on video and image data, enabling accurate model development for video understanding and processing.
Key Skills (Must Have)
Hands-on experience in image/video annotation
Familiarity with annotation tools (CVAT, Labelbox, VGG, Supervisely, etc.)
Ability to label bounding boxes, polygons, segmentation masks, and object tracking
Strong attention to detail and data quality focus
Ability to follow structured annotation guidelines
Good to Have
Basic understanding of Computer Vision concepts (object detection, segmentation, tracking)
Experience with video annotation workflows (frame-by-frame labeling, interpolation)
Exposure to data QA/validation processes
Experience working in large-scale annotation projects
Roles & Responsibilities
Perform annotation of video and image datasets (bounding boxes, classification, tracking, segmentation)
Ensure high-quality, consistent labeling as per defined guidelines
Work with data science teams to refine annotation standards and improve accuracy
Conduct basic quality checks and corrections on labeled data
Handle frame-level video annotation and maintain temporal consistency
Support dataset preparation for multiple solution approaches
Flag ambiguities or edge cases to improve annotation guidelines
Experience Required
1–3 years of experience in data annotation / labeling
Experience in Computer Vision projects preferred
Education
Bachelor’s in any relevant Technical Domain
Mandatory/Required
Hands-on experience in image/video annotation
Familiarity with annotation tools (CVAT, Labelbox, VGG, Supervisely, etc.)
Ability to label bounding boxes, polygons, segmentation masks, and object tracking
Strong attention to detail and data quality focus
Ability to follow structured annotation guidelines
Good to have
Basic understanding of Computer Vision concepts (object detection, segmentation, tracking)
Experience with video annotation workflows (frame-by-frame labeling, interpolation)
Exposure to data QA/validation processes
Experience working in large-scale annotation projects
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Skills Required
- 1-3 years of experience in data annotation / labeling
- Hands-on experience in image/video annotation
- Familiarity with annotation tools (CVAT, Labelbox, VGG, Supervisely, etc.)
- Ability to label bounding boxes, polygons, segmentation masks, and object tracking
- Strong attention to detail and data quality focus
- Ability to follow structured annotation guidelines
- Bachelor's in any relevant Technical Domain
- Basic understanding of Computer Vision concepts (object detection, segmentation, tracking)
- Experience with video annotation workflows (frame-by-frame labeling, interpolation)
- Exposure to data QA/validation processes
- Experience working in large-scale annotation projects
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
