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Data Annotation & Image Labeller

Enviri · Hyderabad, Telangana, India · Hybrid

  • Energy & Utilities
  • 10,001+ employees
  • Philadelphia, Pennsylvania

Weak hiring record · median 58 days open

9898

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 50% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Data Annotation & Image Labeller at Enviri. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

Skills

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