Data Annotator | $30/hr | Remote

Data Annotators, Image Labeling Specialists & Visual Data Reviewers.

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.

You will review and label image data, apply structured annotation guidelines, validate annotation quality, explain labeling decisions, and collaborate with a distributed project team to maintain consistency across large datasets.

What You’ll Do

• 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.

Who Can Apply

Relevant backgrounds include Data Annotators, Data Labelers, Image Annotators, and Image Labeling Specialists.

We also welcome 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.

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.

This opportunity is ideal for detail-oriented professionals who can review images carefully, apply complex labeling guidelines consistently, recognize subtle annotation errors, explain difficult decisions clearly, and maintain high-quality output across large image datasets. We are a referral partner of the client.