Top Artificial Intelligence Jobs in Ankara

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.

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

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.

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

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, responsibilities include reviewing data, ensuring quality control, labeling content, and flagging incorrect information in AI projects.

The AI Engineer will develop and integrate LLM-based multi-agent systems for IDE environments, focusing on frameworks and RAG pipelines.

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.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.