Computer Science PhD (Germany)
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
Build the Market Leader in Satellite Analytics with us at LiveEO Mission of this position (overall summary of the purpose, some comments abo
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Role highlights: - Senior MLOps Engineer, ISR - Location: Berlin, Germany - Department: ISR Analytics - Reports to: VP of ISR Analytics - Em
Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it s ever at risk.
Why voize? Because we’re more than just a job!
The Ranking team at Zalando assists customers in their fashion discovery journey and helps them find what they are looking for.
will be dynamic and deeply technical, placing you at the center of compiler innovation.
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners.
RoboService solves the Last Mile of humanoid robotics.
Das waren alle 13 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems.
Compensation - US$150 per hour Key Responsibilities As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. Ideal Qualifications We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. Work Arrangement - Remote - Flexible hours
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.