Top Artificial Intelligence Jobs in Romania

Join Welo Data to contribute to AI projects focusing on data annotation, evaluation, and enhancing AI models with culturally aware input. Fluency in French and comfort with digital tools are required.

Join Welo Data for AI data annotation and evaluation tasks, working remotely with flexible hours. Contributors shape the future of AI.

Join Welo Data to enhance AI technologies by engaging in annotation, data collection, and model evaluation while working flexibly in a global community.

Join Welo Data to contribute to inclusive AI through language data tasks like annotation, evaluation, and prompt creation. Remote work with flexible hours.

Join Welo Data to assist in AI data annotation, evaluation, and instruction creation tasks, all remotely with flexible timing. Candidates must be native or near-native Cantonese speakers with English proficiency and digital tool familiarity.

Welo Data seeks individuals fluent in Flemish for remote roles in AI-related annotation and evaluation tasks. Responsibilities include transcription, prompt engineering, and data collection.

The Staff Engineer will architect and optimize Pfizer's AI infrastructure, build MLOps platforms, and enhance developer experiences while ensuring compliance with healthcare regulations.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Territory Manager drives strategic growth by managing key accounts, identifying new business opportunities, and aligning SUSE's solutions with client needs. Responsibilities include relationship building, consultative selling, and collaborating with cross-functional teams to enhance customer success and revenue growth.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead a team of AI Product Designers to shape the future of AI-powered developer tools, managing design strategy, user research, and cross-functional collaboration.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

As a Principal AI/ML Software Engineer, you will drive ML strategy, develop novel solutions, lead initiatives, and guide technical practices across the organization.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

The AI Tech Strategy Manager will lead strategic execution across departments, ensuring alignment, monitoring outcomes, and utilizing AI for improved decision-making and reporting.

The AI Full-Stack Developer will design, build, and deploy AI-enabled web applications using modern frameworks, focusing on scalability and integration with LLMs.

The role involves creating and executing automated test cases, reviewing software specifications, and analyzing errors to improve software quality in automotive systems.

Design and implement backend services that utilize AI technologies and integrate LLM APIs, focusing on engineering production systems and collaboration with teams for reliable outputs.

As a Full-Stack Software Engineer, you will build backend systems and frontend interfaces for an AI platform, collaborate on technical design, troubleshoot issues, and mentor junior engineers.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain production performance, and document processes. Stay updated in ML and propose innovative solutions.