Data Annotation & Image Labeller

Enviri Corporation; Hyderabad; On-site; INR 300,000 - 600,000; Full time

Job summary

Enviri Corporation is seeking a detail-oriented Data Annotation & Image Labeller for its offshore services team in Hyderabad. The role focuses on labeling image data for AI initiatives using Azure AI imaging tools, with emphasis on accuracy and iterative improvements.

Ideal candidates will have 2–4 years of experience in image annotation, familiarity with computer vision concepts, and the ability to collaborate with data scientists and engineers in a fast-paced environment.

Qualifications

• Master’s or Bachelor’s degree or equivalent experience.
• 2–4 years of experience in image annotation or data labelling.
• Hands-on with Azure AI tools for image processing and annotation.
• Familiarity with computer vision concepts and image data formats.
• Experience setting up ML pipelines and improving annotation processes.

Responsibilities

• Use Azure AI imaging tools to annotate and label image datasets for ML projects.
• Perform manual annotation where automation needs refinement.
• Collaborate with data scientists, engineers, and the digital manager to ensure high-quality data.
• Maintain and update annotation guidelines and documentation.
• Conduct quality checks to ensure accuracy and consistency across datasets.
• Provide feedback to improve annotation workflows and tooling.
• Stay updated with developments in image processing and annotation technologies.

Skills

Image annotation

Data labelling

Collaboration

Quality checks

Agile environment

Education

Master’s / Bachelor’s degree or similar experience

Tools

Azure AI tools

Computer vision tools

Job description

Enviri Corporation is a market-leading global provider of environmental solutions for industrial, retail, and medical waste streams, as well as innovative 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 image annotation, data labelling, or related fields.
• Hands-on experience with Azure AI tools, especially in image processing and annotation.
• Familiarity with computer vision concepts and image data formats.
• Familiarity with setting up Machine Learning pipelines.
• Ability to suggest improvements to annotation processes and tooling.
• Experience working in agile or fast-paced environments

Additional Information

Disclaimer

The information about this job description given above has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

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