Join our mission.
Redefine relationship transparency
We're building a cutting-edge platform that empowers people with the truth. Work with a dynamic, fully remote team from anywhere in the world and shape the future of digital trust.
- Remote-first culture
- AI, automation, and trust-heavy product work
- Mission-driven work with real-world impact
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.
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
Remote by default, impact-heavy by design, and built for people who want to work on AI products where trust, clarity, and execution all matter.
Choose the closest-fit role
Start with the role that most closely matches your experience. We can calibrate scope and level from there.
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.
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.
Explore the roles building the future of digital trust
7 positionsWe hire across computer vision, AI product, research, and data. Pick the closest fit and use the contact route to start the conversation with context.
7 roles shown
Computer Vision Engineer
Remote / New York- Computer Vision
- Facial Recognition
- Model Development
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.
Apply through ContactAI Image Recognition Specialist
New York- Image Recognition
- Classification
- Applied AI
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.
Apply through ContactDeep Learning Engineer (Vision)
Remote / New York- Deep Learning
- CNNs
- Visual Models
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.
Apply through ContactAI Vision Scientist
Remote / New York- Research
- Computer Vision
- Experimentation
Conducts research and experiments to develop cutting-edge image recognition techniques, often working with both theoretical and practical aspects of computer vision and AI.
Apply through ContactAI Product Manager
Remote / New York- Product Strategy
- Cross-functional
- AI Delivery
Oversees the development and strategy of AI-powered products, collaborating with engineering, design, and business teams to bring AI solutions to market.
Apply through ContactAI Data Engineer
Remote / New York- Data Infrastructure
- ML Pipelines
- Training Data
Builds and maintains the data infrastructure required for AI and machine learning projects, ensuring that data is clean, accessible, and usable for model training.
Apply through ContactAI Trainer (AI Training Specialist)
Remote / New York- Data Labeling
- Model Training
- Quality Operations
Curates and prepares training data for machine learning models, ensuring it’s high-quality and well-labeled for the AI to learn effectively.
Apply through Contact
Start with the role that most closely matches your experience. We can calibrate scope and level from there.