Computer Vision Expert

About This Role

Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Computer Vision Experts to serve as subject matter experts, designing challenging real-world vision tasks, creating high-quality reference solutions, and evaluating AI model performance. Your work will directly improve AI systems by identifying reasoning gaps and advancing their capabilities across a wide range of computer vision applications.

This is a part-time, fully remote opportunity requiring approximately 20 hours per week.

Key Responsibilities

• Design challenging, real-world computer vision tasks across domains such as:
  • Object Detection
  • Image Segmentation
  • Object Recognition
  • Vision-Language & Multimodal Reasoning
  • Image and Video Generation
• Develop high-quality reference solutions and integrate tasks into agentic development environments using Python.
• Build executable evaluation components and testing frameworks where applicable.
• Assess AI model outputs for accuracy, reasoning quality, and technical correctness.
• Identify capability gaps, classify failure modes, and provide detailed written analyses of model behavior.
• Develop evaluation guidelines and structured rubrics to ensure consistent and objective assessment.
• Collaborate with fellow subject matter experts to maintain high-quality training data and evaluation standards.

Requirements

• Deep hands-on experience in Computer Vision through industry, research, or graduate/PhD-level work.
• Strong proficiency in Python with practical experience developing computer vision applications.
• Expertise in modern computer vision techniques, including deep learning architectures and model evaluation.
• Hands-on experience with frameworks such as PyTorch, TensorFlow, or similar computer vision libraries.
• Solid understanding of computer vision workflows, model training, evaluation metrics, and optimization techniques.
• Ability to commit approximately 20 hours per week.
• Excellent written communication skills and the ability to work independently in a remote environment.