Data Annotation Specialist

As a Data Annotation Specialist at CVAT.ai, you will play an indispensable role in our mission to create comprehensive datasets for Computer Vision applications. Your primary responsibility will involve accurately annotating and labeling data crucial for the training and evaluation of machine learning algorithms, ensuring the precision and reliability of computer vision systems.

Responsibilities

• Annotate and label various data types, including images, videos, point clouds.

• Ensure the quality and accuracy of annotations, preventing errors that could compromise the effectiveness of machine learning algorithms.

• Uphold consistency in annotations, make sure all the annotations follow the same rules and guidelines.

• Data pre-processing (resizing images, standardizing text data, converting data into suitable formats).

• Collaborate with data scientists, machine learning engineers, and project managers.

• Maintain clear and organized documentation of annotated data.

• Meet deadlines and high project standards.

• Quality control checks, including reviewing and verifying the work of fellow annotators.

• Improve annotation processes.

Qualifications

• Prior experience with at least 3 years in data annotation or related fields is a desirable asset.

• Knowledge on how to use Computer Vision Annotation Tool (CVAT) for solving different data annotation challenges.

• Familiarity with computer vision concepts and terminology.

• Exceptional attention to detail, with an unwavering commitment to maintaining the highest levels of accuracy.

• Capability to excel both as an independent contributor and as a collaborative team member.

• Strong interpersonal and communication skills.

• Adaptability and resilience in dynamic, fast-paced environments.

Benefits

• Competitive compensation and comprehensive benefits package.

• Opportunity to contribute to cutting-edge computer vision projects.

• Engage in a collaborative and innovative work environment.

• Access to professional growth and development opportunities.

• Potential for flexible work hours (if applicable).