Job Description
Shape the future of AI by leveraging your expertise to train large-scale language models and computer vision systems. These systems are evolving rapidly, moving beyond basic perception into advanced mathematical modeling, spatial reasoning, and applied problem-solving.
You'll evaluate and refine outputs, provide feedback on homography transformations, projective geometry, multi-view consistency, and real-world applications in vision and graphics. The role involves reviewing and annotating AI-generated content, validating transformation accuracy, and documenting error behavior for model improvement. Tasks may include selecting/labeling static points across images, conducting manual/synthetic homographies, and documenting error behavior for model improvement.
Foundational knowledge of homography and projective geometry is required. Strong analytical ability, clear communication skills, and attention to detail are essential.