Top Artificial Intelligence Jobs in Turkey

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.

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

The Product Manager will lead cross-functional teams, define product strategy, manage product release processes, and analyze performance metrics, focusing on GenAI technologies and customer experiences.

The AI Developer will lead the design, development, and deployment of AI agents, ensuring alignment with business goals and user experience principles.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

This role involves designing and optimizing AI/ML solutions, especially with large language models and NLP. Responsibilities include fine-tuning LLMs, deploying AI components, and ensuring model performance evaluation.

The Senior AI Automation Engineer will design and implement automation tools and workflows, integrating AI technologies and streamlining engineering processes to enhance productivity and mitigate risks.

The role involves labeling data such as images and texts, maintaining quality in data annotation, and collaborating with research leaders to meet project goals.

The AI Research Engineer will conduct research on recommender systems, design ML services, deploy them at scale, and optimize models in production.

Join the AI Team as a Research Engineer to enhance search results by applying Machine Learning, NLP techniques, and developing scalable services. Responsibilities include designing ML services, monitoring models, and publishing research findings.

Lead the design, development, and deployment of AI systems for visual understanding. Optimize models for efficiency and scalability while collaborating with cross-functional teams.

As an AI Research Engineer, you will develop and optimize recommendation models, perform data analysis, and mentor junior engineers while collaborating across teams to enhance user experience for AppGallery.

Participate in AI model development for Computer Vision using ML/DL. Focus on creating, optimizing models, and process improvements.

Design and develop Agentic AI systems, analyze large datasets, optimize AI workflows, and collaborate with cross-functional teams to implement AI solutions.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.