Job Description
Responsibilities:
- Step-Wise Trajectory Review: Conduct granular, frame-by-frame evaluations of agentic video rollouts, classifying physics anomalies, causal inconsistencies, and execution errors.
- Temporal Logic & Sequence Verification: Audit complex multi-event chronological sequences, ensuring correct action-effect causality and forward-backward temporal logic.
- Action Anticipation & Goal Reasoning: Evaluate whether autonomous agent behaviors align with specified multi-step goals, flagging path deviations or suboptimal sub-goals.
- Video Segmentation & Rendering QA: Verify spatial boundary boxes, optical flow fields, pixel-level semantic segmentation masks, and avatar skeletal motion rendering.
- Deep Rationale & Error Taxonomy: Author highly structured C1-level failure-mode analyses categorizing visual hallucinations, unnatural physics, and clipping artifacts.
- Golden Dataset Construction: Build hardened ground-truth validation sets and edge-case scenario libraries to boost programmatic verifier accuracy.
Candidate Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Data Science, Mathematics, or another STEM discipline, or equivalent technical experience.
- Exposure to Video Analysis, Computer Vision, Reinforcement Learning, Robotics, or simulation environments.
- Strong spatial and temporal reasoning skills.
- Excellent attention to detail and ability to focus on detailed evaluation tasks.
- Strong English communication and written reasoning skills.
- Basic knowledge of Python will be an added advantage.
- Familiarity with AI/ML concepts and advanced video annotation tools such as CVAT, Labelbox, or Roboflow will be preferred
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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