Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus) (Clone)
Core
Build a multimodal computer vision prototype to detect algorithmic bias in clinical interactions by analyzing video, audio, and metadata for patterns of unequal treatment.
Role type
Computer Vision Intern (Bias Detection)
Builds
Real-time inference pipelines, bias detection dashboard prototypes, and annotated model outputs
Domain
Healthcare AI / Algorithmic Fairness / Behavioral Science
Deliverable
production ML models | product features
Required skills
Python, Computer Vision, Deep Learning, OpenCV, MediaPipe, YOLO, Data Annotation, Multimodal ML
Preferred skills
Emotion recognition, Gaze tracking, Fairness metrics, Transformers, RAG architectures
Technologies
OpenCV, MediaPipe, Dlib, YOLOv8, Detectron2, CVAT, Labelbox, Jupyter
Responsibilities
Design and test CV models for facial expression, gaze, and gesture detection; Integrate audio cues for tone and sentiment analysis; Build real-time inference pipelines; Collaborate on data annotation and validation; Contribute to demo-ready dashboards and codebases
Seniority
Intern
