about valkyria
Valkyria is a defense-focused software engineering company, built in Ukraine, delivering AI solutions for DefTech companies worldwide. We combine 10+ years of AI engineering expertise with 4+ years of real-world combat testing in Ukraine – covering the full cycle from data collection and annotation to algorithm development, sensor integration and deployment on the edge.
RESPONSIBILITIES
Annotate images and video (bounding boxes, polygons, segmentation, keypoints, tracking) from UAV, thermal and ground sensors.
Identify and classify military equipment, vehicles, personnel and fortifications according to defined taxonomies.
Follow and help refine annotation guidelines; flag ambiguous and edge cases.
Perform quality control and cross-review of annotated datasets.
Work closely with CV/ML engineers to improve data quality and class definitions.
Contribute to dataset curation, balancing and versioning.
rEQUIREMENTS
Experience with MilTech / Defense projects or military service background – required.
Knowledge of military equipment and vehicle types (ability to distinguish classes and models).
1+ year of experience in data annotation for computer vision.
Hands-on experience with annotation tools (CVAT, Label Studio, Roboflow or similar).
High attention to detail and consistency on repetitive tasks.
English – at least Intermediate (for reading guidelines and documentation).
NICE TO HAVE
Experience annotating aerial / drone, thermal (IR) or satellite imagery.
Experience as an annotation team lead or QA reviewer.
Basic understanding of how CV models are trained and evaluated.
Basic Python skills for simple data scripts.
WHAT WE OFFER
Work on mission-critical defense technology with direct impact on Ukraine’s defense capabilities.
Fast feedback loop from real operational use – your work is tested in the field, not just in the lab.
A team that combines strong engineering expertise with real military experience.
Ownership of meaningful technical decisions and room for professional growth.
Competitive compensation, flexible work format.
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