Role overview
This is a paid, flexible research participant role aimed at AI, machine learning, and software engineering leaders in the UK. Successful applicants are added to a vetted bench and matched to upcoming studies on workflow management tooling and modern development practices. Sessions are usually short, remote, and include a mix of AI-moderated interviews, written tasks, and surveys.
Responsibilities
- Complete a short paid screener to confirm experience and suitability for relevant studies.
- Take part in AI-moderated interviews and written research tasks as projects go live.
- Contribute to qualitative surveys about tooling choices and team processes.
- Articulate how workflow management tools are assessed, procured, and managed.
- Share candid views on the intersection of product, design, and engineering workflows.
Requirements
- Manager-level seniority (or higher) in AI/ML engineering, software engineering, software development, product management, or UX/product design.
- Hands-on involvement with workflow management tools, either as a current user or active evaluator.
- Influence over decisions relating to development, product, or workflow tooling, such as selection, budgeting, or strategic recommendations.
- Working knowledge of software, product, or design delivery workflows.
- UK residency and availability for tasks that may require up to one hour of uninterrupted work.
Nice to have
- Direct experience with Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com.
- History of running tool evaluations, vendor comparisons, or organisation-wide rollouts.
Benefits and work setup
- Per-task compensation, with hourly rates for qualifying studies reaching up to around $200.
- Fully remote engagement with self-directed scheduling matched to live research needs.