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

prolificacademicltd; United States; Remote; USD 227,000 - 324,000; Full time

Benefits offered by this job

Remote work

Flexible scheduling

Competitive study rates up to $200/hr

Job summary

Prolific Academic Ltd is seeking senior AI/ML/engineering decision-makers in the US for paid research participation. Work is remote, via AI-moderated interviews, short surveys, and written tasks, with studies focused on workflow management tools and how modern product and engineering organizations operate.

You will join a curated talent pool after a brief screener, contributing insights on tooling evaluation, purchasing decisions, and governance.

Qualifications

• Senior-level manager or above responsible for workflow tooling decisions.

Responsibilities

• Pass a 10–15 minute paid screener to validate your fit for specific research projects.
• Participate in AI-moderated interviews or written research tasks tied to live studies.
• Complete qualitative surveys exploring tooling, team workflows, and decision criteria.
• Discuss how workflow platforms are evaluated, purchased, implemented, and governed internally.
• Offer perspective on how product, design, and engineering practices shape tooling strategy.

Skills

Manager-level role

AI/ML engineering

Workflow tools

Decision influence

Tools

Jira

Linear

Azure DevOps

GitHub Projects

GitLab Issues/Boards

Shortcut

Asana

ClickUp

Monday.com

Job description

Role overview

This paid research participant position is tailored to senior AI, machine learning, and software engineering decision-makers in the US. Candidates who pass verification enter a curated talent pool and are matched to studies focused on workflow management tools and the way modern product and engineering organisations operate. Work is conducted remotely through AI-moderated interviews, written exercises, and short surveys.

Responsibilities

• Pass a 10–15 minute paid screener to validate your fit for specific research projects.
• Participate in AI-moderated interviews or written research tasks tied to live studies.
• Complete qualitative surveys exploring tooling, team workflows, and decision criteria.
• Discuss how workflow platforms are evaluated, purchased, implemented, and governed internally.
• Offer perspective on how product, design, and engineering practices shape tooling strategy.

Requirements

• Hold a manager-level (or above) role in AI/ML engineering, software engineering, software development, product management, or UX/product design.
• Currently use or actively evaluate workflow management tools within an organisation.
• Influence or own decisions about development, product, or workflow tooling, including purchasing, budgeting, or strategic recommendations.
• Familiarity with software, product, or design workflows in a team setting.
• US-based and able to dedicate up to one uninterrupted hour per paid task.

Nice to have

• Direct, hands‑on experience with Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com.
• Prior leadership of vendor selections, contract negotiations, or large‑scale tool rollouts.

Benefits and work setup

• Per-study compensation, with rates for qualifying projects reaching up to about $200 per hour.
• Remote work with flexible scheduling; invitations depend on demand and how closely your profile matches each study.