Data Annotation And Image Labeller

Enviri Corporation is a US-based global provider of environmental and industrial solutions, headquartered in Philadelphia, Pennsylvania. With operations across 30+ countries and 250+ locations, Enviri serves the global steel, metals, and railway industries. Backed by a 170-year legacy of innovation, on-site expertise, and global reach, the company is committed to advancing industrial sustainability and creating long-term value for its customers, people, and communities.

Enviri operates through two key business units, supported by its Global Service Centre (GSC):

Harsco Environmental: A leading provider of environmental services and material processing solutions to the steel industry, specializing in slag management, metal recovery, and resource optimization.

Harsco Rail: A global supplier of railway track maintenance and construction equipment, advanced technologies, and support solutions.

Enviri Global Service Centre (GSC): Provides centralized shared services and global business support across Finance & Accounting, Human Resources, IT, Engineering, Knowledge Services, and other functional areas, supporting Enviri's operations across geographies.

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.

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

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.