remote
Data Scientist – AI Model Training & Evaluation
Data Scientist – AI Model Training & Evaluation
Alignerr is seeking a Data Scientist based in Germany to train, evaluate, and improve next-generation AI systems. This role involves evaluating AI model outputs, designing evaluation criteria, creating training data, and providing detailed feedback to enhance model performance in data science and analytical tasks.
About the role
About The Role
We're looking for data scientists based in Germany to help train, evaluate, and improve next-generation AI systems. Your quantitative expertise will directly influence how state-of-the-art AI models reason, analyze, and communicate — making a real and lasting impact on the future of artificial intelligence.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI model outputs for accuracy, reasoning quality, and statistical soundness
- Design and apply data-driven evaluation criteria and scoring rubrics
- Analyze patterns in AI-generated responses to identify systematic errors or biases
- Create high-quality training data including prompts, solutions, and annotations in your areas of expertise
- Provide structured, detailed feedback to improve model performance across data science and analytical tasks
- Review AI-generated code, visualizations, and statistical analyses for correctness
- Work independently and asynchronously on your own schedule
Who You Are
- Degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (MS or PhD preferred)
- Strong foundation in statistics, probability, and machine learning concepts
- Proficient in Python, R, SQL, or similar data analysis tools
- Experienced with data wrangling, exploratory data analysis, and model evaluation
- Excellent analytical thinking with sharp attention to detail
- Strong written communication in English — able to explain complex technical concepts clearly and simply
- Self-motivated and comfortable working independently
Nice to Have
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with NLP, large language models, or AI evaluation workflows
- Published research or industry experience in applied machine learning
- Background in A/B testing, causal inference, or experimental design
Why Join Us
- Work on cutting-edge AI projects shaping the future of technology
- Collaborate with top research labs and AI teams around the world
- Fully remote and flexible — work on your own schedule, on your terms
- Gain rare, hands-on exposure to how state-of-the-art LLMs are trained and evaluated
- Be part of a growing community of expert contributors making AI smarter and more reliable
- Potential for ongoing work and long-term contract extension