Data Quality Specialist / Machine Learning Data Specialist (Geringfügig)

Job title: Data Quality Specialist / Machine Learning Data Specialist (Geringfügig)

Company: EnliteAI GmbH


Job description: We are seeking a highly organized and efficient Data Quality Specialist to oversee our data labeling workforce. In this role, you will be responsible for the quality assurance of annotated data provided by our external partners, ensuring the consistency of received data with the latest provided annotation guidelines, and providing feedback regarding the quality of received imagery data.Tasks

• Ensure all provided annotated data is consistent and reflects our latest annotation guidelines.
• Review and evaluate imagery datasets provided by external partners.
• Provide detailed feedback on the quality of annotated datasets.

Requirements

• Exceptional attention to detail and precision.
• Enthusiasm and flexibility to work on a variety of projects.
• Ability to quickly acquire knowledge in a new domain.
• Strong ability to follow complex instructions.
• Independence in managing tasks and responsibilities.
• Fluent in English

Benefits

• Work closely with an enthusiastic & research-oriented development team with extensive expertise in AI, computer vision, and geodata
• Get hands on experience with very large scale geodata projects, spanning cities, municipalities and entire countries.
• A monthly salary of max. EUR 518.44 (Geringfügigkeitsgrenze) is offered. The payment will be agreed according to individual qualifications and experience.

EnliteAI GmbHenliteAI is a technology provider for Artificial Intelligence specialized in Reinforcement Learning and Computer Vision/geoAI. Detekt, one of our products, is a modern Geospatial Data Platform for object and damage detection in large scale Mobile Mapping data which had its product launch in April 2022. With our reinforcement learning solution for the energy sector we are shaping the future of smart power grids.

Expected salary:

Location: Wien

Job date: Mon, 19 May 2025 22:07:22 GMT

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