This is the perfect role for you!

• We need German students to evaluate and validate mapping data, like locations, business names, opening hours, distances for navigation and more!
• A high level of accuracy is required for this role as your analysis will have real world impact on mapping data shown to millions of people around the world.
• Over time, successful candidates will be presented with new learning opportunities to develop their skills and progress on to more varied and intricate projects.
• This is a part time (max 20hrs) highly flexible role where you’ll set your own hours and work to your own schedule.

• Fluent in German and English
• Living in Germany for a minimum of 5 consecutive years.
• Willing to work a minimum of 10 hours per week (pending project availability)
• Good working knowledge of search engines, map applications and familiarity with social media platforms.
• Strong ability to learn, understand and apply multiple sets of different instructions.
• A passing grade in an online open-book assessment provided by us.

• Flexible working hours – work any time from home or college!
• Earn extra money at a competitive hourly rate.
• Work from home and skip the long commute!
• Develop and apply your research skills in a real world environment.

Contact email: E-Mail schreiben

Peroptyx is a provider of location-based machine learning (ML) training data and model evaluation solutions to leading global consumer technology brands.

Customers benefit from unique data security and identity innovations which minimise bias and errors in ML training data and model evaluation solutions delivered from 26 countries.

The Peroptyx platform integrates personalized authentication, onboarding, use-case education, performance analytics and compensation experiences for its global community of domain expert data analysts - who ensure Peroptyx always delivers higher quality training data and feedback to accelerate ML model performance improvement.

Peroptyx Data Annotation and Model Evaluation solutions are designed for Product and Data Science leaders who place high fidelity, location-based training data at the heart of their AI.