Are you an experienced Homography specialist eager to shape the future of AI?
Large-scale language models and computer vision systems are evolving rapidly,
moving beyond basic perception into advanced mathematical modeling, spatial
reasoning, and applied problem-solving. With high-quality training data,
tomorrow’s AI can deliver more accurate, reliable, and innovative solutions
across fields such as robotics, augmented reality, 3D reconstruction, and visual
mapping. That training data begins with you—your expertise will help power the
next generation of AI.

We’re looking for a Homography specialist who can bring mathematical precision,
domain knowledge, and practical problem-solving skills to training data. You’ll
work with cutting-edge AI tools, evaluate and refine outputs, and provide
feedback on homography transformations, projective geometry, multi-view
consistency, and real-world applications in vision and graphics.

On a typical day, you will review and annotate AI-generated content, assess
responses for correctness and clarity, identify reproducible error patterns,



and
collaborate with our team to refine prompts, evaluation methods, and
domain-specific guidelines. Tasks may include selecting and labeling static
points across images, conducting manual and synthetic homographies, validating
transformation accuracy, and documenting error behavior for model improvement.

Foundational knowledge of homography and projective geometry is required,
supported by coursework, research, or applied experience in computer vision,
robotics, graphics, or related fields. A degree in mathematics, computer
science, or engineering is a plus. Strong analytical ability, transparent
communication skills, and attention to detail are essential.

Ready to channel your homography expertise into building the AI tools of
tomorrow? Apply today and help train the model that will support learners,
researchers, and professionals worldwide.

We offer a pay range of $8 to $65 per hour, with the exac

📌 Computer Vision Specialist (India)
🏢 Meridial
📍 India