€30/hr

The Ai Training Company

Chennai, Tamil Nadu, IndiaFresher2h agovia LinkedIn

This job at a glance

Who can apply
Freshers
Nice to have
Machine learningComputer visionData analysisOperations
Work
Remote
Pay
Not stated by the employer.
Listed
9 Nov 2026 · still open

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About the Role

We are seeking detail-oriented Data Annotators, Image Labeling Specialists, Visual Data Reviewers, and AI Training Contributors to support a remote project focused on high-quality image annotation.

Key Responsibilities

  • Annotate and categorize image data according to detailed project instructions.
  • Apply labels, tags, classifications, attributes, or other structured annotations accurately.
  • Review completed annotations and identify missing, incorrect, or inconsistent labels.
  • Correct annotation errors and maintain consistent quality across assigned datasets.
  • Interpret edge cases and determine the most appropriate label based on project guidelines.
  • Document annotation decisions and clearly explain the reasoning behind difficult cases.
  • Provide constructive feedback when guidelines are unclear or annotation workflows can be improved.
  • Collaborate with reviewers, project coordinators, and other annotators to resolve questions.

Requirements

  • Strong attention to detail and commitment to annotation accuracy.
  • Ability to follow detailed written guidelines consistently.
  • Strong written and verbal communication skills.
  • Comfortable reviewing large volumes of image data.
  • Ability to identify and correct inconsistencies in annotations.
  • Ability to explain labeling decisions clearly.
  • Strong organizational and time-management skills.
  • Ability to work independently and meet project deadlines.

Preferred Background

  • Previous experience in data annotation, image labeling, or visual dataset review.
  • Experience with image classification, object detection, segmentation, or attribute annotation.
  • Experience performing annotation quality assurance or peer review.
  • Experience with computer vision datasets or machine learning projects.
  • Background in computer vision, data analysis, data operations, or related fields is valuable.
  • Experience documenting annotation standards or resolving edge cases.

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