Simply.TV

HQ
Copenhagen
Total Offices: 3
243 Total Employees
Year Founded: 2019

Jobs at Simply.TV

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Recently posted jobs

Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
Coordinate a remote team of German-language data editors to ensure accurate, structured metadata and on-time production. Translate editorial needs into tasks, monitor output, support onboarding, and collaborate with product and operations to improve workflows and quality.
2 Days AgoSaved
Remote
2 Locations
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
Research, create, and maintain detailed sports metadata entries (events, tournaments, leagues). Identify and merge duplicate programs, verify data accuracy, and ensure timely, error-free datasets for clients. Perform online research, work with databases, and follow processes in a fast-paced international team.
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
Research, edit and quality-check metadata for TV, movies and series. Enhance program records to company standards, merge duplicates, ensure accuracy and completeness, and support high-quality data delivery to clients.
21 Days AgoSaved
In-Office
Copenhagen, Capital Region, DNK
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
Build and ship production AI features: develop retrieval, evaluation, and agent systems; prototype quickly with real content metadata; translate ambiguous product problems into working end-to-end systems.
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
As a Junior Schedules Specialist, you'll support the Schedules Operations team by maintaining accurate schedule data, coordinating with teams, identifying discrepancies, and improving processes.
24 Days AgoSaved
In-Office
Madrid, Comunidad de Madrid, ESP
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
The Intern will ensure accurate data flow for TV and movie metadata, implement hardcoding rules, optimize parsers, monitor data health, and support stakeholders.