Associate Editor

Associate Editor (Late Day Shift)
Join to apply for the Associate Editor (Late Day Shift) role at Dataminr.

Dataminr’s Editors 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 the AI platform more advanced. As an Editor on our Domain Expert team, you will annotate, label and edit signals from our data feeds in real time. You will be an integral part of our algorithm training process and our advanced real‑time human‑AI feedback loop that integrates key knowledge domains into our AI models. 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 hybrid or remote (UK/Ireland). Working hours are from 3 pm‑11 pm GMT on a rotating basis, including weekends and projects or meetings outside business hours.

Responsibilities

Monitor and analyze our data feeds and the quality of our signals

Annotate complex breaking news events

Provide expertise on a particular subject matter to improve our AI models

Make real‑time decisions with incomplete data

Collaborate and communicate in a team‑centric environment on daily priorities

Identify any software issues to elevate to our product and engineering teams

What You Bring

Bachelor’s degree required; ideally with a concentration in linguistics, English, international affairs, history

Deep understanding of geopolitical risk issues that affect all continents and industries

Ability to monitor and analyze data in a fast‑paced environment in both English and relevant language, if necessary

Passion for breaking news, current world events, technology, and a great understanding of both social media and publicly available data

Ability to work both independently and collaboratively within a team as well as excellent verbal and written communication skills

Foreign language expertise a plus

Seniority Level
Entry level

Employment Type
Full‑time

Job Function
Marketing, Public Relations, and Writing/Editing

Industries
Technology, Information and Internet

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 hr@dataminr.com or privacy@dataminr.com.

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