€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.