Join Preventai – Help Build the Future of AI-Powered Surveillance Position: Data Annotator (Part-Time / Remote / Entry-Level or Experienced) Location: Remote (Worldwide) At Preventai, we’re redefining how retail theft is detected. Our AI-driven video analytics platform integrates seamlessly with existing surveillance infrastructure to deliver real-time alerts and actionable intelligence. As we scale, we are expanding our dataset with high-quality, behavior-tagged video content — and that’s where you come in. We’re hiring Data Annotators to support the development of our machine learning models. This is a unique opportunity to be part of a precision-critical pipeline in one of Sweden’s fastest-growing AI startups. ⸻ What You’ll Do: You will work with 30-minute surveillance-style video clips and perform the following tasks: • Time-Based Activity Annotation: Segment and label theft vs normal activity in 10-second intervals. • Individual Behavior Labelling: Trim irrelevant scenes and filter out bystanders, focusing on accurately tagging actions of interest. • Context Awareness: Evaluate behavior within real retail scenarios and assign meaningful labels that help our AI systems learn. ⸻ Who You Are: • Sharp eye for behavioral detail and scene context. • Comfortable working independently and meeting clear annotation targets. • Reliable, focused, and comfortable doing repetitive work with precision. • Bonus if you have: • Exposure to Machine Learning or Computer Vision concepts. • Prior experience with video annotation tools or labeling platforms. ⸻ Why Join Preventai? • Be part of an applied AI project that has real impact in the physical world. • Fully remote work with flexible scheduling. • Clear training and task documentation provided. • Potential to grow with us in more technical or supervisory roles over time. ⸻ Want to Stand Out? Applicants who include a short personal message telling us about themselves and why they’re interested in this role will be prioritized for immediate onboarding. Apply directly here on LinkedIn or send your CV and note to: stellan@inframotionlabs.com Show more Show less

Preventai is a company dedicated to solving a critical societal challenge: increasing safety in everyday environments. Our main focus is the development of an advanced computer vision system capable of detecting suspicious events via CCTV surveillance cameras, initially to prevent loss in grocery stores. We are actively working towards the market to deliver the best theft detection system available, a goal the entire team is passionate about. Preventai is now in an exciting expansion phase, and we are building a team that shares our passion. As a startup, workdays are dynamic and not always conventional, but we are a close-knit team with a great understanding of each other's needs and a shared drive to take the company to the next level of market expansion. Things happen quickly, and every day brings new, exciting challenges. We are scaling fast, and expanding into the Nordic markets. Now, we’re looking for a computer vision engineer with video classification experience to help us take our platform to the next level. About the role You'll report directly to the CTO, playing an important role in shaping the technical strategies that will propel Preventai to market leadership. In this high-impact role, you’ll work directly with large-scale video data to build computer vision features that power our next architecture for real-time theft detection. We thrive in a dynamic startup environment that values flexibility and initiative. You'll join a close-knit, supportive team where we genuinely look out for one another and understand the importance of work-life integration. What you will be doing Work with the technical team to architect a new kind of computer vision pipeline. Build good practices for data collection with a strong ETL cycle. Do applied research on SOTA methods towards the task at hand. Who you are For us it is important that you have a strong drive in taking your own initiatives to further progress the system towards becoming better, running tests and optimizing existing routines is second nature for the person we are looking for. You are also optimistic about solving hard problems and you get energy from brainstorming sessions where your best friend is the whiteboard (or Miro ^^). Video Model Architectures(VAEMamba, Slowfast, Vision Encoders Sparse & Dense like Siglip) and video language models Realtime Computer Vision Systems deployed in low latency environments A structured approach to implement new AI & CV systems from newly released papers (A hawk-eye for preprints, good scraping practices from arXiv) Video data augmentations like color space conversations to properly know how to get the most out of a constrained video dataset for binary video classification Video classification with low discriminative attributes between each class Must be able to start with short notice Benefits Financing for health-promoting activities Afterworks & Access to AI-based events Learning opportunities via domain-specific courses Competitive Salaries Are you the next person to join our team and help build an exceptional product to bring about the solution that can prevent crime and dangerous activity? ✨ Join Preventai and help us build the future of retail safety! If you're driven to create 'artificial eyes' with a human-level understanding of the physical world and want to see your work make a real-world impact, we want to hear from you as we expand our team. Send us your CV. Show more Show less

Preventai is a fast-growing Swedish AI company transforming how surveillance infrastructure is used in retail. Our platform connects to existing camera systems and applies advanced Video Language Models (VLMs) to detect incidents and generate real-time alerts. We work with some of Sweden’s largest grocery chains and are expanding our team to support increasingly complex networked environments. We are now looking for an experienced Network & Security Camera Engineer to lead secure, high-performance video transmission from client locations to centralized processing systems. About the Role You will be responsible for integrating Preventai’s platform into existing CCTV infrastructures, ensuring reliable and secure video transmission across diverse physical and network environments. This role requires expertise in networking, VPN architecture, IP camera systems, and video streaming protocols. You will work closely with client technical teams, Preventai engineers, and deployment personnel to ensure seamless setup and long-term performance. Responsibilities Design, configure, and deploy secure site-to-site VPNs to transmit video data to Preventai’s cloud or edge analytics nodes Set up and maintain firewalls, routers, and switches with attention to routing, security, and traffic prioritization (QoS) Optimize transmission of high-resolution video feeds using RTSP, RTMP, SRT, and HLS protocols Integrate with existing IP cameras, NVRs, and VMS platforms while adapting to legacy hardware constraints Configure long-range wireless connections (P2P and P2MP) where physical cabling is not viable Monitor, troubleshoot, and resolve performance bottlenecks across the entire video pipeline—from camera to end destination Document configurations and network topologies to support scalability and operational handover Required Skills Advanced Networking : Deep knowledge of routing, switching, VLANs, NAT, and firewall configurations (preferred: MikroTik, Ubiquiti, Cisco) QoS Implementation : Practical experience ensuring bandwidth prioritization for video transmission Streaming Protocols & Codecs : Strong command of RTSP, RTMP, SRT, HLS and H.264/H.265 codecs VPN & Security : Track record of deploying secure site-to-site VPN tunnels and managing encrypted video transport Wireless Infrastructure : Hands-on experience with deploying and managing P2P and P2MP wireless bridge solutions CCTV System Integration : Solid understanding of IP camera systems, NVRs, and VMS platforms (e.g., Milestone, Axis, Dahua) Troubleshooting : Strong diagnostic skills across video, networking, and infrastructure layers Nice to Have Experience working with edge computing devices or local AI appliances Familiarity with remote device monitoring tools and VPN orchestration platforms Understanding of data privacy, encryption standards, and GDPR compliance in video surveillance Situated or can move to Bangalore What We Offer Work in a high-impact role within a Swedish funded AI company Direct influence on how cutting-edge AI systems are deployed across real-world infrastructures Access to a highly technical team with expertise in AI, computer vision, and systems engineering Competitive compensation and benefits Remote-first setup with occasional on-site fieldwork Opportunity to define and scale infrastructure practices from the ground up How to Apply Send your CV, project references, and any documentation relevant to past CCTV or network integration work. Applications are reviewed on a rolling basis. Apply via LinkedIn or reach out to us directly with any questions. Show more Show less

Preventai is a Swedish company that develops AI solutions that make surveillance cameras useful in real-time for retail stores. We work with Video Language Models (VLM) that enable natural language communication with camera systems for real-time theft detection and incident management. We have secured funding and already work with several of Sweden's largest grocery retailers. We're now seeking a Full Stack Engineer who wants to build technology that shapes the future of retail security. About the Role You will develop AI applications and dashboards that integrate our VLM models with retail systems. The role requires both front-end and back-end development as well as experience with mobile applications and AI integrations. Technical Requirements Front-end: JavaScript, TypeScript, React (Next.js) Tailwind CSS State management with Zustand Back-end: Python Node.js PostgreSQL, SQL, MongoDB, Redis Prisma or Drizzle ORM Additional Requirements: Docker, DevOps fundamentals Data pipelines, ETL processes CI/CD, Git React Native and mobile development (Expo) Experience with LLMs: prompting, function calling, RAG Previously built applications with AI models Who You Are You have a technical background in full stack development and experience with AI integrations. You thrive on solving complex problems and want to work with technology that has direct impact on real challenges in retail. What we offer Role in a funded AI company with validated customers Opportunity to influence product development Competitive salary and benefits Remote work Team with technical expertise and focus on delivery Application Send your application along with GitHub, portfolio or examples of previous work. We interview on an ongoing basis. Apply through LinkedIn. Questions? Contact us directly via LinkedIn. We are looking forward to your applications! Show more Show less