Job Description
As a Data Annotation Intern, you will be responsible for meticulously labeling images and videos to help train and improve Camweara’s computer vision models. Your work will directly impact how accurately our platform detects faces, hands, feet, and accessories in real-time.
Key Responsibilities:
Annotate images and video frames with bounding boxes, keypoints, segmentation masks, or landmarks using internal tools.
Label facial features, hand landmarks, feet, and product placement for virtual try-on applications.
Ensure annotation quality by reviewing and correcting existing labels.
Follow detailed guidelines and help improve them based on edge cases.
Work closely with the AI/ML and product teams to understand project requirements and timelines.
Maintain consistent output and meet daily/weekly annotation targets.
Preferred Qualifications:
Prior experience with annotation tools like CVAT
Background in computer science, data science, or a related field is a plus.
Interest in computer vision, fashion tech, or retail AI.
What You’ll Gain:
Hands-on exposure to real-world computer vision workflows.
Opportunity to work closely with AI engineers and contribute to cutting-edge technology.
Certificate of Internship and Letter of Recommendation.
Potential for a full-time role based on performance.
About Camweara:
Camweara is a leading virtual try-on platform transforming the retail experience for jewelry, eyewear, and fashion brands. Our AI-powered solutions enable customers to virtually try on products in real-time, boosting engagement and conversion for global retailers. To power these experiences, we rely on high-quality annotated datasets—and that’s where you come in.
Job Types: Full-time, Internship
Contract length: 5 months
Pay: ₹15,000.00 - ₹20,000.00 per month
Benefits:
Paid sick time
Paid time off
Work from home
Schedule:
Day shift
Monday to Friday
Morning shift
Application Question(s):
Have you worked on CVAT tool?
Are you already based in Bengaluru? If not, please don't apply.
Work Location: In person
Key Responsibilities:
Annotate images and video frames with bounding boxes, keypoints, segmentation masks, or landmarks using internal tools.
Label facial features, hand landmarks, feet, and product placement for virtual try-on applications.
Ensure annotation quality by reviewing and correcting existing labels.
Follow detailed guidelines and help improve them based on edge cases.
Work closely with the AI/ML and product teams to understand project requirements and timelines.
Maintain consistent output and meet daily/weekly annotation targets.
Preferred Qualifications:
Prior experience with annotation tools like CVAT
Background in computer science, data science, or a related field is a plus.
Interest in computer vision, fashion tech, or retail AI.
What You’ll Gain:
Hands-on exposure to real-world computer vision workflows.
Opportunity to work closely with AI engineers and contribute to cutting-edge technology.
Certificate of Internship and Letter of Recommendation.
Potential for a full-time role based on performance.
About Camweara:
Camweara is a leading virtual try-on platform transforming the retail experience for jewelry, eyewear, and fashion brands. Our AI-powered solutions enable customers to virtually try on products in real-time, boosting engagement and conversion for global retailers. To power these experiences, we rely on high-quality annotated datasets—and that’s where you come in.
Job Types: Full-time, Internship
Contract length: 5 months
Pay: ₹15,000.00 - ₹20,000.00 per month
Benefits:
Paid sick time
Paid time off
Work from home
Schedule:
Day shift
Monday to Friday
Morning shift
Application Question(s):
Have you worked on CVAT tool?
Are you already based in Bengaluru? If not, please don't apply.
Work Location: In person
💡 Quick Summary
Seeking a career-building opportunity? The Data Annotator position is now open for candidates interested in the Data Entry Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Data Entry Jobs is a plus.
