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Project Photo ML IQ 2 – Evaluate Image Quality and Help Improve Computer Vision AI
Malaysia
May 15, 2026
Job description
Use your attention to detail and technical judgment to help build high-quality datasets for image-based artificial intelligence.
Images are fundamental to many AI systems, from photo enhancement tools to computer vision models used in consumer applications and research. For these systems to perform effectively, they must be trained on accurately labeled data that reflects real-world variations in image quality.
Project Photo ML IQ 2 invites participants in Malaysia to assess the technical quality of digital images. Your evaluations will focus exclusively on objective visual characteristics such as sharpness, noise, and pixelation, helping create reliable datasets that improve how AI systems analyze and process images.
As an Image Quality Evaluator, you will review images and assign a single quality score based solely on their technical merits, without considering the subject matter or aesthetic appeal.
What You’ll Do
Your primary task is to assess the technical quality of images according to detailed scoring guidelines. This includes:
- Review images individually
- Identify technical artifacts and degradations, such as:
- Blurriness
- Digital noise
- Pixelation
- Compression artifacts
- Other image distortions
- Assign a single quality score to each image
- Ensure evaluations remain objective and independent of image content
- Follow project guidelines and scoring criteria precisely
- Perform self-review to maintain consistency and accuracy
Why This Matters
Machine learning models rely on accurately labeled examples to understand and evaluate image quality. Human judgments are essential for teaching AI systems how to recognize technical defects and distinguish between high- and low-quality images.
Your work will help build high-quality datasets used to train and validate computer vision models, contributing to advances in image enhancement, automated quality assessment, and other AI-powered technologies.
How It Works
- Apply and complete onboarding
- Review the image quality scoring guidelines
- Receive access to project tasks
- Evaluate images and assign quality scores
- Submit completed tasks for quality review
- Get paid for approved work
Who Can Participate
You are eligible if you:
- Currently reside in Malaysia
- Own and use a macOS computer
- Have strong attention to detail
- Can identify technical image defects accurately
- Are able to follow structured guidelines consistently
- Are comfortable performing repetitive visual evaluation tasks
What You’ll Need
- A Mac computer running macOS
- Reliable internet connection
- Ability to view images carefully on a high-quality display
Ready to Apply?
If you live in Malaysia, own a Mac, and have a sharp eye for technical image quality, Project Photo ML IQ 2 offers an opportunity to contribute to the development of advanced computer vision and image-processing technologies while working remotely on a flexible schedule.
Apply now
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