Join our mission.
Redefine relationship transparency
We're building a cutting-edge platform that empowers people with the truth. Work with a dynamic, 100% remote team from anywhere in the world and shape the future of digital trust.
Career snapshot
A smaller team with sharper ownership.
7
open roles
100%
remote-first
AI
vision + product
What you’ll be building
AI systems for image recognition, facial matching, and visual trust signals.
Privacy-first product experiences that help users uncover truth without friction.
Automation and data workflows that turn complex investigations into usable proof.
Why Work with Us?
Build work that actually changes how people find truth in the digital age.
At OopsBusted, we’re on a mission to redefine transparency in relationships in a digital age. Every project you work on will have a meaningful impact, empowering individuals to uncover the truth and make informed decisions in their lives.
Remote-First Culture
Work from anywhere in the world with flexible hours.
Cutting-Edge Technology
Collaborate on innovative projects that push the boundaries of AI, machine learning, and automation.
Growth Opportunities
We support your personal and professional development with access to training, mentorship, and career advancement.
Team Collaboration
Join a diverse, supportive team committed to creating impact and fostering creativity.
Mission-Driven Work
Be part of a company that’s solving real-world problems and empowering users with truth and transparency.
Mission-driven work
Build tools that make digital trust more tangible.
At OopsBusted, we’re creating tools that transform the way people discover truth and transparency in the digital age. From leveraging AI and automation to building seamless user experiences, our work makes a difference in people’s lives. If you’re passionate about solving complex problems and working with a like-minded global team, we’d love to hear from you.
How We Hire
A clear path from first click to first conversation
We keep the next step simple: choose the closest-fit role, reach out with strong context, and use the conversation to align around impact.
01
Choose the closest-fit role
Start with the role that most closely matches your experience. We can calibrate scope and level from there.
02
Send context, not just a resume
Reach out with your background, what you’ve built, and why the role is relevant. Specificity helps more than volume.
03
Meet the team and align on impact
We’ll use the conversation to understand how you think, where you add value, and how you’d work with the team.
Open Roles
Explore the roles building the future of digital trust
We’re hiring across computer vision, AI product, research, and data. Browse the roles, pick the closest fit, then reach out through the contact route to start the conversation.
Computer Vision Engineer
Specializes in developing algorithms and models that allow machines to interpret and analyze visual data from the world, such as images and videos. This includes tasks like object detection, image classification, and facial recognition.
AI Image Recognition Specialist
Focuses on creating AI systems that can automatically identify and classify objects or features in images, often for applications like medical imaging, security, and autonomous vehicles.
Deep Learning Engineer (Vision)
Works with deep learning techniques, particularly convolutional neural networks (CNNs), to train models that can recognize patterns in visual data, such as images, videos, and 3D models.
AI Vision Scientist
Conducts research and experiments to develop cutting-edge image recognition techniques, often working with both theoretical and practical aspects of computer vision and AI.
AI Product Manager
Oversees the development and strategy of AI-powered products, collaborating with engineering, design, and business teams to bring AI solutions to market.
AI Data Engineer
Builds and maintains the data infrastructure required for AI and machine learning projects, ensuring that data is clean, accessible, and usable for model training.
AI Trainer (AI Training Specialist)
Curates and prepares training data for machine learning models, ensuring it’s high-quality and well-labeled for the AI to learn effectively.
Ready to make an impact?
Ready to make an impact? Let's build the future of digital trust together.
Remote / New York
Flexible location options for roles spanning vision, AI product, and data.
Like-minded team
Work with people focused on trust, truth, AI, and strong product execution.