See yourself at Dataminr
Dataminr’s Domain Experts are an essential component of our company’s success - ensuring the alerts we send to our clients are of the best possible quality and making Dataminr’s AI platform more advanced. As a Domain Expert, you will 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. As a Domain Expert, you will also play a key role in defining new factors to improve our alerts, data source coverage, machine learning and AI models. This role is open as remote (Australia) or hybrid, and requires the ability to work core hours of 10:00am - 6:00pm AEDT or 8:00am - 4:00pm AEST in a real-time information environment. Candidates should be aware this role requires weekend rotational work, as well as projects and meetings outside of business hours.
At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations respond to fast-emerging events as they unfold. We are over 600 talented individuals, spanning seven global offices, united by our passion to use AI for the greater good and be agents of positive change in our company and in our communities.

We offer a competitive benefits package aimed at keeping you healthy and happy:

• Comprehensive medical, dental and vision insurance plan options for employees domestic partners and their dependents
• Generous PTO, flexible sick days and remote working options
• Paid parental leave and family forming benefits
• Mental health benefits and support
• Company equity (RSUs)

At Dataminr, we serve a global community made up of many cultures and strive to reflect the diversity of the world in which we live. We stand for social justice and we lead with empathy. We foster a culture of allyship, standing up for those who face systemic barriers to equality. We actively condemn racism and discrimination in any form.
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, learning and development funds, and more.

The opportunity

• Serve as an expert on Eastern Europe, Central Asia, Ukrainian and Russian 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
• Own and develop projects to improve our AI models’ performance in the real time event detection space
• Make real-time decisions with incomplete data
• Work with multiple stakeholders across all offices to support region-specific training
• 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, Eastern Europe studies, security/conflict studies, or a closely related field strongly preferred
• Deep understanding of geopolitical, security, and risk issues that affect Eastern Europe
• Ability to monitor and analyze data with strong online research skills in a fast-paced environment in Russian or Ukrainian as well as English; ability to read and understand German or French a plus
• 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
• Enthusiastic approach to innovation and strategic thinking
• Ideally, previous experience of working in a real-time information environment

LI-WC1

About Dataminr
Dataminr, the world’s leading real-time information discovery platform, delivers the earliest warnings on high-impact events, emerging risks and other critical business information far in advance of other sources. Recognized as one of the world’s leading AI businesses, Dataminr enables faster response, more effective risk mitigation and stronger crisis management for public and private sector organizations spanning global corporations, first responders, NGOs and newsrooms. Most recently valued at $4.1B, Dataminr serves more than two-thirds of the Fortune 50 and half of the Fortune 100 companies and over 650 newsrooms worldwide.
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 Dataminr’s data privacy notice available here: https://www.dataminr.com/privacy-policy and applicable data protection laws. By providing your details and applying via our careers website, you acknowledge that you have read our data privacy notice. If you have any queries, please contact the People Team at hr@dataminr.com or our Legal department at legal@dataminr.com

• Bachelor’s degree required; ideally with a concentration in: Political science, Eastern Europe studies, security/conflict studies, or a closely related field strongly preferred
• Deep understanding of geopolitical, security, and risk issues that affect Eastern Europe
• Ability to monitor and analyze data with strong online research skills in a fast-paced environment in Russian or Ukrainian as well as English; ability to read and understand German or French a plus
• 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
• Enthusiastic approach to innovation and strategic thinking
• Ideally, previous experience of working in a real-time information environmen