Experience: Relevant experience in Video Analysis / Computer Vision / AI / ML / Data Annotation / Evaluation
Role Overview
We are looking for Spatial Reasoning Evaluation Specialists to support a Video Reinforcement Learning (Video RL) program focused on AI-generated videos, autonomous agents, physical-AI simulations, and spatial reasoning.
The role involves reviewing AI-generated video outputs and evaluating whether the AI is performing actions correctly, logically, and realistically.
Key Responsibilities
- Review AI-generated videos frame-by-frame and evaluate the correctness of actions and movements.
- Check temporal sequence, action order, and cause-effect relationships in videos.
- Evaluate whether AI-generated actions are aligned with the intended goal or task.
- Identify spatial, physical, visual, and motion-related errors in AI outputs.
- Review video segmentation, bounding boxes, masks, object boundaries, and avatar/character movements.
- Identify issues such as visual hallucinations, unnatural physics, clipping, incorrect movements, and inconsistencies.
- Provide explicit, structured and evidence-based feedback explaining why an AI output is correct or incorrect.
- Support the creation and validation of ground-truth datasets and edge-case scenarios.
📌 Spatial Reasoning Evaluation Specialist- Video RL (Noida)
🏢 Innodata India
📍 Noida
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