AI Dataset Engineer

ZAITRA, established in 2020, is a startup with a primary emphasis on delivering tailored flight software and cutting-edge AI solutions for space missions. Our endeavours encompass projects for both the European Space Agency and commercial customers.

About the role

As a Dataset Engineer, you will play a key role in maintaining and organizing our growing dataset repository, ensuring that our AI models have access to high-quality, well-curated data. Your responsibilities will include:

• Managing and cataloging datasets, both locally and in cloud storage solutions such as S3.

• Implementing robust solutions for local data mirrors to ensure efficient access and backups.

• Designing and maintaining a dataset annotation system, ensuring high-quality labeled data.

• Creating dataset formats for different tasks (e.g. classification, regression, segmentation, object detection) that are optimized for both storage size and loading speed.

• Transforming various datasets into a unified format for ML training.

• Developing efficient methods to search and identify data containing specific objects, events, or patterns for annotation and model training.

• Finding and evaluating relevant public datasets to meet project requirements.

• Collaborating with third parties to acquire commercial data.

• Supporting the team in managing storage resources and optimizing data workflows.

Required qualifications

• Strong organizational skills and experience managing large datasets.

• Familiarity with dataset annotation tools and processes, including labeling and quality control.

• Hands-on experience with cloud storage solutions like AWS S3 and version control for data.

• Proficiency in Python programming.

• Understanding of database systems and search tools for querying large datasets (you will be working with systems such as EarthExplorer).

• Enthusiasm for working on space-related projects and contributing to cutting-edge AI applications.

What we offer

• Hybrid work (preferably with at least 3 days a week in our office).

• Flexible working hours.

• Modern offices near the center of Brno.

• Direct impact on the development and direction of products for space missions.

• Involvement in the development of solutions to be deployed in Earth's orbit and beyond.

• 5 weeks of vacation.

• Meal vouchers.

• Team-building activities and company events.

• Multi-sport card.

What is nice to have

• Experience with machine learning datasets and knowledge of common formats (e.g., COCO, Pascal VOC).

• Familiarity with tools like CVAT, Label Studio or similar annotation platforms.

• Knowledge of satellite imagery or Earth observation datasets.

• Understanding of metadata management and schema design for efficient data querying.

• Prior experience with versioning systems for datasets (e.g., DVC, Git LFS).

Interview process

• Submit your CV and short cover letter via email to [email protected].

• Attend a 30-minute call with the CTO and HR.

• Complete a short take-home task.

• Participate in a 60-minute technical screening, including a review of your task.

• Receive an offer.

Where: Brno

Type: Full time

Contact: [email protected]