Associate, Domain Expert - MENA

See yourself at Dataminr Dataminr’s Domain Experts work with Dataminr’s AI platform in real time ensuring the alerts and intelligence we send to our clients are of the best possible quality. Domain Experts use deep human expertise to examine and analyze our data feeds and annotate, label, and edit signals in real time. You will be an integral part of our algorithm training process and our advanced realtime human-AI feedback loop that integrates key knowledge domains into our AI models and develops our AI platform. As a Domain Expert, you will also play a key role in defining new factors to improve our alerts, data source coverage, machine learning, AI models, and AI tooling. This role is open as remote (United Kingdom or Ireland) or hybrid, and requires the ability to work core hours of 7:00 am - 3:00 pm GMT in a real-time information environment. Please note that this role requires rotational weekend work as well as projects and meetings outside of business hours. AI Innovation at Dataminr Working at Dataminr you’ll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI : our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here . Agentic AI : we recently launched our Agentic AI capability, what we’re calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what’s happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here . The opportunity Serve as an expert on the Middle East and North Africa, the related geopolitical developments and the relevant data sources associated with the region to improve our AI models Monitor and analyse the quality of our data feeds Annotate and label complex real time events, making real-time decisions with incomplete data Own and develop projects to improve performance of AI models and AI tooling in the real time event detection space Collaborate and communicate about daily priorities in a team-centric environment What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Bachelor's degree required, ideally with a concentration in: Political science, Middle Eastern studies, security/conflict studies, or a closely related field strongly preferred Ability to monitor and analyze data with strong online research skills in a fast-paced environment in Arabic and English; Farsi, Hebrew, or Turkish languages a plus An understanding of geopolitical risk and world events, coupled with a passion for breaking news, current world events, technology, and a great understanding of both social media and publicly-available data Ability to interpret and succinctly describe ongoing, complex events with incomplete data Fluency with AI tools and LLMs, and experience using them to solve problems, improve workflows, and make efficiencies Enthusiastic approach to innovation and strategic thinking Ideally, previous experience of working in a real-time information environment #LI-WC1 #LI-REMOTE About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr’s groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr’s platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world’s first real-time event detection platform, long before the recent Gen AI ‘boom.’ Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here . We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, colour, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here . By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at [email protected] or [email protected] .