Top Artificial Intelligence Jobs in Spain

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Staff React Engineer will lead the design and development of high-performance web applications, collaborate with AI teams, and mentor engineers. Responsibilities include defining front-end strategies, integrating AI components, and optimizing code quality and performance.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

As a Junior AI Automation Engineer, you'll build AI-powered automation workflows using tools like n8n, integrate APIs, and collaborate on product features, focusing on delivering real-time solutions across various business functions.

This role involves designing, developing, and deploying AI and automation solutions, ensuring integration with enterprise systems, and meeting security standards. The position requires hands-on engineering skills in AI development, particularly with Python and AI frameworks.

The AI Engineer will lead AI projects, improve AI application reliability, collaborate cross-functionally, and mentor junior engineers while driving innovation in a community-oriented environment.

You will lead AI engineering projects, improve performance of AI applications, mentor junior engineers, and collaborate with cross-functional teams.

The role involves supporting aircraft safety certifications, analyzing flight data, developing AI models, optimizing algorithms, and technical reporting.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

As an AI Solution Architect, you will drive the adoption of AI solutions, guide product implementation, support sales efforts, and ensure customer success while integrating GenAI technologies into client operations.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

Design, prototype, and deploy deep learning and NLP/LLM solutions for personalized learning; collaborate with product and engineering teams; mentor junior scientists; drive research to production and define ML best practices.

Design, prototype, and deploy state-of-the-art multimodal neural search and ranking deep learning models for personalized learning; collaborate with product and engineering, mentor junior scientists, and establish ML best practices and production pipelines.

Lead development and deployment of deep learning, NLP, and multimodal AI models for personalized learning and AI tutors. Drive research, prototype solutions, collaborate with product and engineering teams, and mentor junior scientists while ensuring scalable production pipelines and ML best practices.

We are seeking a Senior ML/AI Engineer to build secure, scalable systems and deploy applications using machine learning, specifically in LLM. Responsibilities include architecting multi-agent systems, building data processing pipelines, and collaborating with teams.