Data Annotation & Image Labeller

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
Masters / Bachelors 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.

Remote Work :

No

Employment Type :

Full-time