Top Artificial Intelligence Jobs in Turkey

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.

The Senior Backend Developer will design AI-driven backend systems, develop microservices, integrate LLMs, and leverage Claude Code for optimized workflows in an AI-first environment.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

The Freelance AI Artist will produce high-quality images and videos using AI technologies, collaborating with marketing to align with brand identity and experimenting with new workflows.

The role involves managing the customer lifecycle for an AI platform, focusing on sales, customer satisfaction, and long-term relationships with healthcare professionals.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The AI Solution Architect will design and implement scalable AI/ML solutions, guide technical teams, and engage in presales discussions, ensuring compliance with AI principles.

Lead adoption of internal systems (ERP, CRM, Microsoft 365, AI co-pilots) by gathering requirements, translating into specifications, guiding implementations, managing UAT, and driving change management and training to ensure sustained user adoption.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As an AI Consultant, you will lead analytics projects, support strategy execution, manage stakeholder relations, and contribute to ING's transformation efforts in the banking sector.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Design, build, and deploy production-grade AI systems: develop and optimize LLM and diffusion features, engineer prompt systems and evaluation workflows, collaborate with backend/product teams, and own feature lifecycle from prototype to scalable maintenance.

Create high-quality AI-generated visuals, refine images, stay updated with trends, collaborate on storytelling, and analyze competitors.

The AI Partner will identify and deploy AI and ML applications, guide cross-functional teams, and ensure successful integration at the site level.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

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.

Design, build, and own AI-powered platforms and full-stack systems from discovery through production. Embed AI into products and workflows, drive architecture and implementation, ensure reliability, security, and scalability, support incidents, and mentor team members.

Oversee the design, development, and deployment of machine learning models to enhance Sezzle's financial platform and provide scalable solutions for various applications.