Data Scientist – AI Model Training & Evaluation

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