Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Data Science dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
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.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Taktile empowers financial institutions to transform into truly AI-native organizations.
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
We love consulting! Do you?
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
You’ll take the lead in building the data intelligence dimension of Agileday’s AI product.
About ICIS ICIS is part of Lexis Nexis Risk a FTSE 20 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 peo
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
We are aiming to hire someone in the the UK, Czechia or Italy.
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
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 OriginalanzeigeData Science steht in Anzeigen oft für die Arbeit vor dem Modell: Daten zusammentragen, verstehen, bereinigen, eine Frage so stellen, dass sie beantwortbar wird. Viele dieser Rollen heißen weiterhin Data Scientist, haben in den letzten Jahren aber KI-Aufgaben dazubekommen, etwa ein Sprachmodell für eine Auswertung einzusetzen. Verlangt werden meist SQL, Python und die Fähigkeit, ein Ergebnis einem Fachbereich zu erklären, der keine Statistik studiert hat. Wer lieber Modelle baut als Fragen beantwortet, sucht besser unter Machine Learning.