AI Companion App Tester – Ongoing Weekly Feedback Panel
Paid remote expert bounty in Expert network (Global). Work in the software you already know; rates and ladder published up front.
- $30-$250
- per hr, published up front
- 15
- slots left of 15
- Remote
- no AI experience required
What you'll be paid to show
About the role
We're building an ongoing panel of real-world AI assistant users to help improve the quality and usefulness of proactive AI companion apps. If you're already using (or willing to start using) an AI assistant app in your daily life, we want your structured feedback on a weekly basis. This is a recurring, long-term engagement with a consistent group of participants rating their experience week over week.
What you'll do
- Use an AI assistant app consistently across at least 3 different areas of your life each week (e.g. work, health, errands, social, personal planning)
- Pay close attention to proactive messages the assistant sends you unprompted
- Log and rate each proactive message based on relevance, helpfulness, and quality
- Export your weekly conversation history with all personal/identifying details removed
- Submit your logs and ratings on a consistent weekly cadence
- Participate in this study for multiple consecutive weeks as part of a stable rater cohort
Requirements
- Must be an active or willing daily user of an AI assistant/companion app for at least 2 weeks prior to starting
- Comfortable exporting and redacting personal conversation data for submission
- Reliable, detail-oriented, and consistent in completing weekly tasks
- Strong written communication skills for rating and annotating conversations
- Able to commit several hours per week over an extended multi-week period
- No specialized technical background required
Compensation
This role pays $30–$35 per hour, billed on an hourly basis for time spent using the app, logging feedback, and exporting/redacting conversations. A limited number of ongoing weekly slots are available for this panel.
What we're looking for
- User research
- Qualitative feedback
- Data annotation
- Conversational AI evaluation
- Attention to detail
- Written communication