At Xoltar, we utilize cutting-edge AI to empower people’s well-being. Our humanlike virtual agents foster supportive relationships with users to help them overcome challenges, follow treatment plans, and increase treatment effectiveness.

With ongoing projects in oncology, chronic pain management, and more, we aim to expand into new fields. Our diverse team combines expertise in behavioral studies, engineering, NLP, and beyond, united by a shared passion.

In this role, you will analyze videos and images from patient conversations to extract insights. Your role will involve:

Working with datasets of patient videos from assistant-patient conversations.

Developing solutions for tasks like object detection, image segmentation and classification, and de-identification.

Train, evaluate, and optimize computer vision models to improve performance
Create tools and scripts to streamline video/image data processing

company swag; flexible work hours; happy Hour; mentor program; relaxed dress code; snacks

You are an ideal candidate if you have:
Bachelor’s degree in computer science, computer vision, or related field
Some experience with Python and CV libraries

XOLTAR created the first human-emulating AI for patient accountability & behavioral change. Using a unique architecture that harnesses LLMs, Vision, and Graphics Models to implement evidence-based protocols with zero training, the platform provides patients with free-guided video calls that are personalized and truthful. Each AI companion can promote different goals and behaviors, monitor patients, collect real-world evidence, and provide a 24/7 emotional hand-holding experience with infinite scalability, resulting in a cost-effective SaaS platform that can help pharmaceutical companies recover lost revenue ($650B/Yr).