Data Annotator

About CVAT.ai

CVAT.ai focuses on building high-quality datasets for computer vision applications. The platform supports annotation workflows that power machine learning models across industries.

Role Overview

As a Data Annotation Specialist, you will play a critical role in creating accurate and reliable datasets for computer vision systems.

You will annotate and label various types of data used to train and evaluate machine learning models, ensuring precision, consistency, and quality across all annotations.

Key Responsibilities

• Annotate and label data including images, videos, and point clouds
• Ensure high accuracy and quality in all annotation tasks
• Maintain consistency across datasets by following defined guidelines
• Perform data pre-processing (resizing images, formatting data, standardizing inputs)
• Collaborate with data scientists, ML engineers, and project managers
• Maintain organized documentation of annotated datasets
• Meet project deadlines and quality benchmarks
• Conduct quality control checks and review peer annotations
• Contribute to improving annotation processes and workflows

Ideal Qualifications

• 3+ years of experience in data annotation or related fields (preferred)
• Familiarity with Computer Vision Annotation Tool (CVAT)
• Understanding of computer vision concepts and terminology
• Strong attention to detail and commitment to accuracy
• Ability to work independently and collaboratively
• Strong communication and interpersonal skills
• Adaptability in fast-paced environments

Work Details

• Fully remote role
• Project-based work with flexible scheduling depending on assignments

Benefits

• Competitive compensation (varies by project)
• Opportunity to work on cutting-edge computer vision projects
• Collaborative and innovative work environment
• Professional growth and development opportunities
• Flexible work hours (depending on project needs)

Additional Notes

• High emphasis on accuracy, consistency, and data quality
• Work contributes directly to improving machine learning and computer vision systems