At a Glance
- Tasks: Test and evaluate AI systems, analyse data, and design experiments with synthetic data.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive pay, flexible hours, and opportunities for skill development.
- Other info: Collaborative team environment with great potential for career advancement.
- Why this job: Dive into the exciting world of AI and make a real difference.
- Qualifications: Experience in Python and strong data-analysis skills required.
The predicted salary is between 50000 - 70000 € per year.
Execute and contribute to AI testing & evaluation (including R/AI) with hands-on experience in analysis logs, observability data, and system behaviour.
Design and run experiments using synthetic data, including building voice agents to simulate calls and validate journeys at scale.
Hands-on in AI - Python, Python packages, Gen-AI and Agentic-AI packages/libraries.
Work with AI platforms (GECX/CXAS, GCP stack) to support testing, evaluation, and reporting, with strong problem-solving skills.
Good communication skills, must be a team player.
AI Tester employer: PRACYVA
As an AI Tester at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and access to cutting-edge AI technologies, all within a vibrant location that fosters creativity and growth. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of AI testing and evaluation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI testing community on LinkedIn or at meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on experience with Python and AI tools. We love seeing real examples of what you can do, so make sure to highlight any projects you've worked on.
✨Tip Number 3
Prepare for those interviews! Brush up on your problem-solving skills and be ready to discuss your approach to AI testing. We recommend practising common interview questions related to data analysis and system behaviour.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate team players who are eager to contribute to our AI projects.
We think you need these skills to ace AI Tester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong data-analysis skills and hands-on experience with AI testing in your application. We want to see how you've used Python and relevant packages in real-world scenarios, so don’t hold back!
Be Specific About Your Experience:When detailing your past projects, be specific about the experiments you designed and the outcomes. We love seeing how you’ve built voice agents or worked with synthetic data, so give us the juicy details!
Communicate Clearly:Good communication is key for us at StudySmarter. Make sure your application is clear and concise, showcasing your ability to convey complex ideas simply. Remember, we’re looking for team players who can collaborate effectively!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at PRACYVA
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI testing and evaluation. Familiarise yourself with the specific tools and libraries mentioned in the job description, like Python and Gen-AI packages. Being able to discuss your hands-on experience with these technologies will show that you're not just a theory person but someone who can get stuck in.
✨Show Off Your Data Skills
Since strong data-analysis skills are key for this role, prepare to talk about your experience with analysing logs and observability data. Bring examples of how you've used data to solve problems or improve processes in previous roles. This will demonstrate your analytical mindset and problem-solving abilities.
✨Experiment Like a Pro
Get ready to discuss your experience designing and running experiments, especially using synthetic data. If you’ve built voice agents or validated journeys at scale, have those examples ready. This shows you can apply your skills practically and think critically about AI systems.
✨Team Player Vibes
Good communication and teamwork are essential, so be prepared to share examples of how you've collaborated with others in past projects. Highlight any experiences where you contributed to a team effort, especially in AI-related tasks. This will help convey that you’re not just a lone wolf but someone who thrives in a collaborative environment.
