• Perle Labs Secures $17.5M in Funding
  • Join The Beta Launch
  • Perle Labs Secures $17.5M in Funding
  • Join The Beta Launch
  • Perle Labs Secures $17.5M in Funding
  • Join The Beta Launch
  • Perle Labs Secures $17.5M in Funding
  • Join The Beta Launch
  • Perle Labs Secures $17.5M in Funding
  • Join The Beta Launch
  • Perle Labs Secures $17.5M in Funding
  • Join The Beta Launch
Earn rewards by helping AI systems accurately identify and locate animals in images.

We’re excited to roll out the latest AI training tasks on Perle Labs. Starting today, contributors can participate in ImageQuest, a computer vision annotation project designed to help AI systems accurately identify and locate animals in images.

The tasks involve looking at an image and marking where the animal appears. Each verified contribution earns rewards while strengthening how visual-recognition models detect subjects, distinguish them from the background, and interpret context.

The project demonstrates another way the Perle Labs platform connects verified contributors with AI development needs, this time in the field of image recognition and object localization.

What Contributors Will Do

Training computer vision models that perform reliably outside the lab requires high-quality annotations. For each task, contributors will:

  1. View an image containing an animal
  2. Draw a bounding box around the animal to mark its location
  3. Submit the annotation for quality review

The interface is straightforward and designed to make accurate annotation simple. All annotations go through a quality assurance pipeline to ensure precision and consistency.

More Ways to Earn

ImageQuest is part of a growing catalog of tasks available on the Perle Labs beta, including audio classification, robotics motion evaluation, and facial recognition data collection.

Contributors are actively building verified reputations across different task types. A strong reputation opens access to higher-value tasks and greater earning potential over time. If you’ve been onboarded to the platform, be sure to explore available projects.

More Selfie Task Opportunities

We're doubling down on tasks, opening up Batch 2 of our facial recognition data collection project today to continue gathering a broader and more representative dataset of selfies under varied lighting, pose, and time conditions. Your contributions will help improve fairness and reduce bias in how AI systems interpret human faces.

Participation in this high-earning project is time-limited and quality-gated, with every submission carefully reviewed.

Be sure to check your contributor dashboard for project notifications and availability!

How to Participate

ImageQuest and Batch 2 selfie tasks are available to onboarded contributors who have completed foundational platform tasks. If you've already built up your contributor score, check your dashboard for new project notifications.

Follow @PerleLabs on X and join our Discord and Telegram communities for real-time updates on new task releases and platform developments.

New Task Drop: Train Computer Vision with ImageQuest