AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - Italy

Role overview This is a paid research participant opportunity for senior AI, machine learning, and software engineering leaders based in Italy. Selected candidates join a verified talent pool and are matched to upcoming studies on workflow management tools and development processes. Tasks include AI-moderated interviews, written exercises, and qualitative surveys, typically up to one hour per session.

Responsibilities - Complete an initial 10–15 minute screener to verify professional background and fit for specific studies. - Participate in AI-moderated interviews and structured written tasks on a per-project basis. - Respond to qualitative surveys and feedback exercises about tooling and team workflows. - Share opinions on how workflow tools are evaluated, purchased, and rolled out inside organisations. - Contribute insights on development, product, and design processes that shape tool selection.

Requirements - Hold a manager-level role (or above) in AI/ML engineering, software engineering, software development, product management, or UX/product design. - Currently use, or be actively evaluating, workflow management tools within an organisation. - Be involved in decisions about development, product, or workflow tooling, including selection, budgeting, or strategic recommendations. - Have hands-on familiarity with software, product, or design workflows. - Be based in Italy and able to complete tasks requiring up to one hour of uninterrupted focus.

Nice to have - Direct experience administering or standardising tools such as Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com. - Prior involvement in vendor evaluations, contract negotiations, or rollouts of collaboration tooling.

Benefits and work setup - Hourly compensation for completed tasks, with study pay rates reaching up to around $200 per hour depending on the project. - Fully remote, flexible scheduling tied to study invitations rather than a fixed commitment. - Access to opportunities is matched to verified skills, seniority, and current research demand.