Company Description

Enviri Corporation is a market-leading global provider of environmental solutions for industrial, retail, and medical waste streams, as well as creative equipment and technology for the rail sector. We have an unrivaled breadth of experience across the globe and an impressive reputation that stretches back more than a century. Based in Camp Hill, PA, with more than 8500 employees and the company operates in more than 30 countries.
About Enviri GSC
Enviri GSC handles a wide range of services, including finance and accounting shared services, global HR shared services, providing IT services and helpdesk support, and market research support to Harsco globally. We have been operating since 2008 & serving 30+ Countries

Job Description

Job Overview

We are seeking a detail-oriented and technically skilled Data Annotation & Image Labeller to join our offshore services team in Hyderabad. This role is critical to supporting our AI-driven initiatives by accurately labelling and annotating image data using Azure AI imaging tools.



The ideal candidate will have a strong background in image processing and be comfortable applying manual interventions when automated tools fall short.

Responsibilities
• Use Azure AI imaging tools (computer/custom vision) to annotate and label image datasets for machine learning and computer vision projects.
• Perform manual image annotation where automated tools require refinement or correction.
• Collaborate with data scientists, engineers, and the digital manager to ensure high-quality labelled data.
• Maintain and update annotation guidelines and documentation.
• Conduct quality checks to ensure accuracy and consistency across datasets.
• Provide feedback and ideas to improve annotation workflows and tooling.
• Stay updated with the latest developments in image processing and annotation technologies.

Qualifications

Education

Master’s / Bachelor’s degree or similar experience.
Experience
• 2 to 4 years of experience in

📌 Data Annotation (Hyderabad)
🏢 Enviri
📍 Hyderabad