Canvas UGC creator for an AI learning app

The app turns a topic you want to learn into an AI-generated course with lessons, challenges and notes. Show how you use it to explore something you're curious about and make studying feel like a game.

Goal and audience

Help English-speaking US learners understand the app and decide whether to download it. This is an initial experiment for curious self-learners, not a promise of better grades or instant expertise.

Video ideas

• Start with a real question, such as wanting to understand astronomy. Show entering the topic, opening the course and trying a lesson.
• Show a study reward: XP, a daily streak, collectible cards or Battle mode. Explain what you actually did to earn or use it.
• Try a beginner coding or history topic and show one thing you learned, in your own words.
• Show your course, progress and notes together, using your own account and hiding private information.

Key messages

• Choose what you want to learn rather than search for a ready-made course.
• Get a course matched to your level, with lessons, challenges and notes.
• XP, streaks, cards and battles add a reason to keep studying.

Requirements

• Make 3 original videos per paid week, for 2 paid weeks, on TikTok and Instagram under the campaign's posting rules.
• Use English, vertical 9:16 framing, and videos under 30 seconds. Show the real app on screen for at least 3 seconds.
• Include your own face and voice with an app demonstration. Use a natural opening and your own wording, not a scripted sales pitch.
• Use the app before describing your experience. Do not invent testimonials, learning results, free-plan limits, certificates or features.
• Include an honest invitation to find the app on the App Store and a clear advertising disclosure where required.
• Use only footage, audio and accounts you have the right to use. Do not show other people's private messages or profiles.

Payment and timing

Compensation is performance-only under the campaign's displayed view formula and milestone bonuses, with no base pay or per-post fee. Paid weeks run Monday–Sunday and start the Monday after the first creator is hired. Review the displayed terms before applying.

Payment

Creators get performance payouts based on CPM rates applied per video: From 200 to 999,999 views, a rate of $0.50 / 1,000 views is paid. Applies to TikTok and Instagram only. Creators get bonus payouts applied per video. Unlocked tiers are aggregated. At least 50,000 views, cumulative bonus reaches $50.00. At least 100,000 views, cumulative bonus reaches $100.00. At least 250,000 views, cumulative bonus reaches $250.00. At least 500,000 views, cumulative bonus reaches $450.00. At least 1,000,000 views, cumulative bonus reaches $850.00. Applies to TikTok and Instagram only. Bonuses are paid immediately once performance tiers are reached. Performance payouts stop at $200.00 every week; base payout and fixed salary are not affected. Videos count toward performance payouts for 31 days after publication, including videos published before the payout period. The weekly limit is guaranteed. When your videos earn more than it in a week, the brand pays the rest separately, up to $1349.90 per video, once it has funded that amount. The campaign is funded week by week and can end after any week; views after the campaign ends are not paid.

Schedule and audience

• Campaign length: 2 weeks, Monday to Sunday (UTC). Your start date is confirmed when you are hired.
• Videos per creator each week: 3.
• Video languages: en.
• Target markets: USA.

Who should apply

Proposed criteria for owner review: creators must live in the US and make clear English-language videos. Verify US audience reach separately using audience-location evidence; residence is not proof. Review original face-and-voice videos for a clear opening, understandable app demonstrations and believable personal learning interests. Repost, clipper and AI-generated testimonial accounts are unsuitable for this brief. No minimum follower count, earnings or previous campaign history; a thin portfolio can be considered if the available work is strong. Missing portfolio or audience evidence needs clarification, not automatic rejection. Prefer complementary learning interests across the two creators rather than demographic filters. Every hire and rejection remains the owner's decision in Applications.