Live opening · Posted 22 hours ago

Data Annotation & Image Labeller

Enviri · Hyderabad, Telangana, India
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 22 hours ago
CompanyEnviri
LocationHyderabad, Telangana, India
Job typeFull-time
Work modeHybrid
SkillsAzure
SourceSmartrecruiters
ListedPosted 22 hours ago

About the role

Description supplied by the original job listing.

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

Employment type
Full-time

Work arrangement
Hybrid

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