Top Artificial Intelligence Jobs in Bucharest

Develop and implement AI agents for offensive security applications, optimize GenAI agent performance, and serve as SME for Generative AI and Machine Learning.

As a Cloud Software Engineer at CrowdStrike, you'll build scalable cloud ecosystems using Golang, collaborate across teams, enhance AI capabilities, and contribute to product architecture and quality.

Join Welo Data to contribute to AI projects involving annotation, evaluation, and prompt creation, while working flexibly with global teams.

Welo Data seeks candidates fluent in Simplified Chinese for remote AI data labeling, evaluation, and instruction tasks, offering flexible hours.

Welo Data seeks individuals to enhance AI by providing high-quality language data through annotation, evaluation, and prompt creation, focusing on inclusivity.

Join Welo Data to work on AI projects, focusing on annotation, evaluation, and prompt creation in a flexible, remote environment. Requires fluency in Greek.

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

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 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.

As an Intermediate Backend Engineer at GitLab, you will develop AI capabilities, collaborate in an agile environment, maintain code quality, and support the team with troubleshooting. Experience in Python and knowledge of AI technologies is essential.

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.

As a QA Annotator, review and label AI-generated content, ensuring quality and accuracy while participating in online projects on a freelance basis.

The Senior Applied AI Engineer will build and integrate LLMs into Zapier's software products, enhance performance and reliability, and collaborate with cross-functional teams to optimize AI features, focusing on user experience and scalability.

As a QA Annotator, you will review data for AI projects, ensuring quality and flagging incorrect content, while participating in various freelance opportunities.

As a QA Annotator, review and label AI-generated content, ensure quality, and provide constructive feedback while engaging in project-based freelance work.

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.

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

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.

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

Develop and deploy large-scale machine learning solutions, collaborate with teams, and engage with clients to address business problems.