Remote Data Jobs · Europe

• Interrogate data in Google Big Query and develop data pipelines for analysis and reporting.
• Build reports and dashboards using Looker Studio.
• Be accountable for servicing information to our operations managers and team leaders.

• Design, develop, and maintain scalable data pipelines for ingestion, parsing, filtering, and optimization of diverse datasets.
• Implement robust data modeling techniques to structure and format datasets for efficient training.
• Collaborate with researchers, engineers, and cross-functional teams to meet the evolving needs of AI models.

We are inviting native and near-native Hungarian speakers to register for upcoming AI freelancing opportunities expected to begin at the end of 2025 and early 2026. These remote projects typically include Search relevance evaluation. Assignments include data and content annotation for AI models.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

• Develop reliable, comprehensive tracking and analysis of customer usage metrics.
• Turn data into actionable insights to guide Product, GTM, and Finance strategies.
• Build intuitive dashboards and tools that make complex insights easy to act on.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

You will be working on large-scale satellite and aerial imagery, developing models that detect and map buildings, roads, vegetation, and more. Train and fine-tune state-of-the-art vision models for geospatial analytics, research and implement cutting-edge ML architectures and workflows, and contribute to our no-code AI platform where the users can easily train models themselves.

You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe. You will work with stakeholders to convert business requirements into technical specifications; train LLMs from scratch on a large GPU cluster; collect and process pre-training and fine-tuning datasets; support and improve existing subsystems.