Data Annotation Engineer

Role Overview

We are looking for detail-oriented, fast-learning, and highly motivated Data Annotation Interns to support our AI/ML team. You will work closely with machine learning engineers to annotate images, videos, and text data that power our computer vision and NLP models.

This role is ideal for students or early-career professionals who want hands-on exposure to real-world AI development.

Responsibilities

• Annotate images, videos, and text data with high accuracy using internal and thirdparty annotation tools
• Label objects, actions, events, and attributes for computer vision datasets
• Maintain consistency and quality across large datasets
• Collaborate with ML engineers to refine annotation guidelines
• Review and validate annotations created by other team members
• Provide feedback to improve annotation workflows and tools
• Meet daily/weekly annotation targets while maintaining quality standards

Required Skills

• Strong attention to detail and ability to follow structured guidelines
• Basic understanding of AI/ML concepts (preferred but not mandatory)
• Familiarity with image/video annotation tools (e.g., CVAT, Label Studio, V7, Roboflow) is a plus
• Ability to work independently and manage time effectively
• Good communication and documentation skills
• Fast learner with a problem-solving mindset

Preferred Qualifications

• Pursuing or completed a degree in Computer Science, AI/ML, Data Science, Engineering, or related fields
• Prior experience with annotation projects (academic or professional)
• Interest in computer vision, deep learning, or data engineering

What Youll Gain

• Hands-on experience working with real-world AI datasets
• Exposure to enterprise-grade computer vision and multi-agent AI systems
• Mentorship from senior ML engineers and product leaders
• Opportunity to contribute to production-level AI models
• Certificate of completion + performance letter + Job offer for the best performing candidates