Role Title: AI Agent Tester — Real-World Tasks

Role Type: Contract

Location: U.S based

Required Skills:

• ChatGPT
• Muse
• AI agents
• Attention to Detail
• Following Instructions
• Screen Recording

Opportunity Snapshot:

• Time per task: ~1.5 hours per run (evidence and scoring included)
• Project kickoff: Already active.
• Onboarding: Within 24–48 hours of being selected, you’ll receive the offer and complete onboarding. You’ll begin tasking as soon as tasks are assigned.
• You’ll need: An active personal AI assistant account (Plus tier), active Muse and Dots access, a smartphone that can screen record, and a payment card you can use for test purchases that are reimbursed afterward
• Your tasks: Run everyday errands with two AI agents, approve key steps, screen record, and score the results

About the role:

AI agents are starting to handle real-life errands: paying bills, booking trips, doing the groceries. We want to know how well they actually do it, from the point of view of a real user. That’s you. You’ll test two AI agents side by side, using your own accounts on your phone, and tell us what worked, what didn’t, and how it felt.

What you’ll do:

• Run real-life scenarios: bills, returns, email follow-ups, bookings, shopping, groceries, travel, family logistics, outings, and forms
• Approve or stop the agent at key steps
• Screen record every attempt
• Score each run on completion, quality, control issues, satisfaction, and time
• Share clear written feedback on the agent experience

Who we’re looking for:

• US-based, with a Bachelor’s degree
• Someone who already uses AI in daily life
• 2-3 years of experience, preferably in engineering, business management, or office/operations
• Detail-oriented, great at following instructions and documenting each step
• Clear written communication
• Generalists welcome, domain experts preferred
• No coding or AI background needed

Why you’ll like it:

• Get paid to use the AI tools you already use
• Work entirely from your phone, on your schedule
• Have a direct say in how next-generation AI agents get built and improved