GlobalLogic is seeking a highly motivated individual to join our team in a role focused on data annotation, classification, evaluation, and computer vision. The ideal candidate will play a critical part in supporting the development and refinement of machine learning and AI models by providing high-quality labeled data, conducting model evaluations, and contributing to the advancement of computer vision solutions. Strong communication skills, both written and oral, are essential for effective collaboration with cross-functional teams.
Requirements
Any graduate with 0 – 1 years of experience.
Excellent verbal and written communication skills.
Must possess any graduation degree (Must have Provisional Certificate & Consolidated Marks Memo)
Must be willing to work from office & in rotational shifts (5 Working Days & 2 Week Offs)
Only immediate joiners are preferred
Job responsibilities
Perform data annotation and labeling for various types of multimedia data including images and videos, using internal tools and guidelines.
Conduct data classification based on predefined taxonomies and criteria.
Assist in the evaluation and validation of computer vision models to ensure accuracy and performance.
Collaborate closely with teams to provide insights based on annotated data and evaluation results.
Review, clean, and ensure the quality and consistency of labeled datasets.
Document annotation guidelines, edge cases, and best practices.
Participate in team discussions, offering clear and concise communication, both written and verbal, to convey ideas, issues, and updates.
Stay updated on trends and developments in computer vision and machine learning to bring fresh perspectives to the team.