$29/hr
The Ai Training Company
Georgia, United StatesFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed
- Nice to have
- Computer visionMachine learningData analysisOperations
- Work
- Remote
- Pay
- Not stated by the employer.
- Listed
- Nov 11, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
Seeking detail-oriented Data Annotators, Image Labeling Specialists, Visual Data Reviewers, and AI Training Contributors for 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 & Tech Stack
- 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.
Qualifications
- Relevant backgrounds include Data Annotators, Data Labelers, Image Annotators, Image Labeling Specialists, Visual Data Annotators, Image Data Specialists, Data Annotation Associates, and Annotation Analysts.
- Quality backgrounds may include Annotation QA Specialists, Data Quality Reviewers, Quality Analysts, and Labeling Reviewers.
- AI-related backgrounds may include AI Trainers, Human Data Contributors, Model Evaluators, and AI Data Specialists.
- Computer vision backgrounds may include Computer Vision Annotators, Object Detection Annotators, Image Segmentation Annotators, and Visual Dataset Specialists.
- Additional relevant backgrounds include Content Reviewers, Data Entry Specialists, Research Assistants, and detail-oriented professionals experienced with structured digital workflows.
- Preferred: Previous experience in data annotation, image labeling, or visual dataset review.
- Preferred: Experience with image classification, object detection, segmentation, or attribute annotation.
- Preferred: Experience performing annotation quality assurance or peer review.
- Preferred: Experience with computer vision datasets or machine learning projects.
- Preferred: Background in computer vision, data analysis, data operations, or related fields.
- Preferred: Experience documenting annotation standards or resolving edge cases.