Cloud AI API Integrations – Fully Remote Subject Matter Expert

Cloud AI API Integrations – Fully Remote Subject Matter Expert - Netherlands

Remote

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

We are inviting software developers, system administrators, and other technical professionals who work with AI models via cloud platforms to participate in an upcoming research project. We want to learn about your real-world experience integrating AI APIs into applications and workflows.

This project is open to a broad range of practitioners, including:

• Developers and system administrators integrating Claude (Anthropic), OpenAI (GPT models) and Google Gemini via Amazon Bedrock, Google Cloud Vertex AI, or Microsoft Azure AI
• Developers and system administrators working with other leading AI APIs via cloud platforms or direct API access

Please note: This is a "bench" model. By verifying your credentials, you gain eligibility for high-level research tasks as they become available. Access is based on project demand and professional profile matching.

• Active experience as a software developer or system administrator working with AI APIs in a professional context
• Hands‑on integration of AI models via cloud platforms (e.g. Amazon Bedrock, Google Cloud Vertex AI, Microsoft Azure AI) or direct API access
• Practical knowledge of embedding AI capabilities (such as Claude, GPT, or Gemini models) into applications or automated workflows
• Comfort discussing technical implementation details, challenges, and decisions in your day‑to‑day work

• Complete a paid screener to help us assess your background and suitability for specific research tasks
• Participate in AI‑moderated interviews via Listen Labs (primary research method)
• In some cases, take part in live interviews with the research team

• Familiarity with multiple AI providers or models in the same workflow or organization
• Experience with RAG pipelines, fine‑tuning, prompt engineering, or AI agent frameworks
• Involvement in evaluating or selecting AI platforms for enterprise use