Model állás innen: Magyarország

2026. 04. 01. | Részmunkaidõ | MindriftExperience applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling

2026. 03. 29. | Részmunkaidõ | MindriftEnd-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model

2026. 03. 29. | Részmunkaidõ | MindriftThis opportunity involves As an AI Trainer - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing-you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity. While each project involves unique tasks

2026. 03. 28. | Részmunkaidõ | MindriftAre computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry

2026. 03. 28. | Részmunkaidõ | MindriftIntensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; - Base problems on real research challenges or practical applications from biology practice; - Verify

2026. 03. 28. | Részmunkaidõ | MindriftFor data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works Apply

2026. 03. 28. | Részmunkaidõ | MindriftEnd-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model

2026. 03. 25. | Részmunkaidõ | MindriftEngineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges customer analytics, risk assessment, fraud detection, forecasting