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Associate (Data Annotator)

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Onsite

Associate (Data Annotator)

Hurix

Associate (Data Annotator)

Skills

Machine LearningAINLP / Natural Language Processing

6 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job Title: Associate (Data Annotator)

Location: Kilpauk, Chennai

Working days: Monday - Friday

Work Mode: Work from Office

Employment Type: Contract for 3 Months

Department: AI Content

About the Role:

We are seeking a detail-oriented and responsible AI Data Annotator / Content

Reviewer to support the development of next-generation Artificial Intelligence

systems. The role involves reviewing, labeling, and categorizing digital content to ensure

high-quality training data for AI models. This position requires accuracy, consistency,

and the ability to handle sensitive or NSFW content in a professional manner.

Key Responsibilities:

  • Annotate and label data accurately based on the provided guidelines.
  • Review text, images, audio, video, or other content as required for the project.
  • Ensure accuracy, consistency, and quality while completing assigned tasks.
  • Follow project-specific instructions and annotation standards.
  • Meet daily/weekly productivity and quality targets.
  • Identify and report any discrepancies or issues in the data.
  • Work closely with the team and incorporate feedback to improve

performance.

  • Maintain confidentiality and adhere to company policies and data security

requirements.

Qualifications & Experience:

  • Any Graduate / Postgraduate degree.
  • Fresher or up to 1 year of relevant experience in Data Annotation, Content

Review, Data Processing, or a similar role.

  • Good attention to detail and accuracy.
  • Basic computer and MS Office skills.
  • Excellent written and verbal communication skills.

Preferred Attributes:

  • Prior experience in data annotation, content moderation, data entry, or

AI-related projects is an added advantage.

  • Basic understanding of AI, Machine Learning, or Natural Language

Processing (NLP) is preferred but not mandatory.

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