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AI Data Trainer – Image Object Recognition & Classification (Worldwide – Remote)

  • Worldwide – Remote
  • $15-$25/hr
  • Contract

About Cognito AI

Cognito AI connects subject-matter experts with cutting-edge AI development by offering flexible opportunities to shape and refine intelligent systems. Through roles in data labeling, quality assurance, and specialized task evaluation, contributors help ensure AI models are accurate, reliable, and aligned with real world knowledge. Cognito AI empowers professionals to apply their expertise on impactful projects while earning competitive compensation from anywhere in the world.

About The Role

We’re hiring AI Data Trainers – Image Object Recognition & Classification to help annotate, validate, and improve computer vision models that detect and classify visual content. You will evaluate AI-generated labels for real-world images and ensure models accurately identify objects, environments, actions, and spatial relationships. Your contributions will directly support the development of robust vision-based systems across industries like retail, healthcare, security, and robotics.

Responsibilities

  • Review AI-generated object labels, bounding boxes, and segmentation masks for accuracy.
  • Annotate images with structured metadata such as object type, pose, position, and category.
  • Identify and correct classification errors, false positives/negatives, and edge case mistakes.
  • Provide detailed feedback to improve model understanding of context, perspective, and occlusion.
  • Collaborate on building datasets aligned with real-world use cases (e.g., traffic scenes, product catalogs, medical imaging).
  • Stay informed on developments in computer vision, annotation best practices, and visual model evaluation.

Qualifications

  • Certificate in Advanced AI Data Trainer Mastery from AIDRALabs (Required).
  • Two or more years of experience in computer vision, image analysis, data annotation, or closely related fields. Current students actively studying in these disciplines are also encouraged to apply.
  • Familiarity with annotation tools (e.g., Labelbox, CVAT, V7, Supervisely).
  • Ability to detect fine-grained differences between objects and image classes.
  • Understanding of object detection, image classification, or instance segmentation.
  • English proficiency at B2, C1, C2, or Native level.
  • Background in Computer Vision, AI, Data Science, Robotics, or Cognitive Science.
  • Exposure to edge-case annotation strategies or zero-shot vision models.

Education & Qualifications

Add your Advanced AI Data Trainer Mastery from AIDRALabs. Certificates that cannot be verified will not be accepted.

Availability & Technical Specs

Windows Instructions: Search for and navigate to "About Your PC". Take a full, unedited screenshot showing Device Name, Processor, RAM, etc.

Mac Instructions: Navigate to "About This Mac". Take a full, unedited screenshot showing model, processor, memory, serial number, and macOS version.

NOTE: Edited or cropped screenshots will not be accepted.
Navigate to speedtest.net.
Click "GO" and wait for the test to complete.
Take a full, unedited screenshot of the results.

NOTE: Edited or cropped screenshots will not be accepted.
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