Data Annotator Intern
Location: Remote
Type: Internship / Part-time / Full-time (versatile)
We’re an early-stage startup building an AI vision solution for real industrial environments, including factories, gyms, and construction sites.

We’re looking for a detail-oriented Data Annotation Intern to help prepare and validate the image and video datasets used to train our computer vision models.

What you'll do
Annotate images and videos using bounding boxes, segmentation masks, classifications, and tracking labels
Review model predictions and correct inaccurate annotations
Identify unusual cases, poor-quality footage, and unclear labeling scenarios
Follow and improve annotation guidelines
Perform quality checks across labeled datasets
Organize datasets and track annotation progress
Communicate recurring issues and edge cases to the engineering team
Handle customer footage carefully and confidentially

What we're looking for
Strong attention to detail and consistency
Comfortable performing focused, repetitive work
Reliable, organized, and able to meet agreed deadlines




Able to follow detailed annotation instructions
Comfortable working with images, videos, and browser-based tools
Able to communicate unclear cases practically

Nice to have
Experience with CVAT, Label Studio, Roboflow, or similar tools
Interest in computer vision or applied AI
Familiarity with industrial, construction, fitness, or safety environments
Basic understanding of object detection, segmentation, or video tracking
Experience reviewing or cleaning datasets

Compensation & stage
We are a young, early-stage startup currently converting our first enterprise leads.
Compensation includes:
Cash allowance
Equity upside reflecting early contribution and ownership
We’re transparent about our stage and constraints. We’re looking for someone excited to contribute directly to real-world AI systems and grow with the company.

Why this role
Your work will directly improve models deployed in real industrial envir

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