Description

In this role, you will help train AI models by reviewing and annotating homography-related content, evaluating AI-generated outputs for mathematical accuracy, and providing feedback to improve model performance. You'll work on tasks like labeling static points, performing synthetic homographies, and validating transformations while collaborating with a team to refine guidelines and methods.

Requirements

• Foundational knowledge of homography and projective geometry
• Coursework, research, or applied experience in computer vision, robotics, graphics, or related fields
• Degree in mathematics, computer science, or engineering (plus)
• Strong analytical ability and attention to detail
• Clear communication skills

Responsibilities

• Review and annotate AI-generated homography content
• Assess responses for correctness and clarity
• Identify reproducible error patterns
• Select and label static points across images
• Validate transformation accuracy and document error behavior