We're looking for one person to spend an entire day yelling at chatbots. Professionally.
Because AI memory is still broken.
Most chatbots can sound smart for a moment, but they often fail to remember what you said earlier, lose context across conversations, and make you repeat yourself over and over again.
That is the frustration behind this job. We are hiring someone to expose the problem in public by stress-testing chatbot memory all day long.
Memvid was built to solve this exact issue by giving AI agents and LLMs persistent memory, so they can remember users, conversations, and knowledge across sessions.
Memvid gives AI agents and LLMs persistent AI memory so they remember context, users, and knowledge instead of forcing you to start from scratch every time.
Learn more about Memvid AI memory →You'll spend a full 8-hour day interacting with leading AI chatbots — and your only job is to be brutally honest about how frustrating they are. Ask them to remember things. Watch them forget. Ask again. Document the chaos. Get mad about it. Get paid for it.
$100/hour for 8 hours ($800 total). Remote. One day. One hire. We'll provide the chatbots — you provide the frustration.
This is a one-time paid engagement. Content produced during the session becomes the property of Memvid for use in marketing and press materials. Applications close when we find our bully.
AI memory is broken, which is why we built Memvid — a portable memory layer that lets any AI actually remember who you are and what you've said. We're hiring someone to expose the problem, but we've already solved it: Memvid provides the memory.
Kora is what happens when that memory becomes intelligence, bringing the best AI models into one place and training them on your private knowledge so you stop re-explaining yourself and start getting accurate, cited answers that improve over time.
As part of your application, we'll ask you to try Kora so you can feel what AI should be like before showing the world what it usually feels like.
AI memory is the ability for an AI system to retain useful information over time, including past conversations, user preferences, task progress, and important knowledge.
Without memory, large language models are often effectively stateless. They can respond to the current prompt, but they frequently fail to recall what happened earlier or what matters to a user over time.
That is why so many chatbot experiences feel repetitive and frustrating. You explain something once, then again, then again.
Memvid is built to fix that by providing a portable memory layer that helps AI remember relevant information across interactions.
Most AI chatbots do not truly remember in the way people expect. They operate within limited context windows, depend on session state, and often lose track of earlier details once a conversation gets long or a new session begins.
That is why users run into the same problems repeatedly: forgotten instructions, dropped context, circular replies, and answers that ignore what was already said.
The AI Bully job is designed to make those failures visible. Memvid exists to solve them by giving AI systems a more reliable memory foundation.
For AI agents to be genuinely useful, they need memory. They need to remember goals, previous actions, user preferences, project context, and trusted knowledge.
For LLM-based products, persistent memory can reduce repetition, improve continuity, and make responses more useful over time.
Memvid provides infrastructure for persistent AI memory so developers and companies can build systems that remember more and frustrate users less.
Fill this out. We'll be in touch if you're angry enough.
The entire reason this campaign exists is that AI memory still fails in ways users can feel immediately.
If you have ever had to repeat the same instruction to a chatbot, re-explain your preferences, or watch an AI lose track of context halfway through a task, you already understand the problem.
Memvid was built to help fix that with persistent AI memory for developers, companies, AI agents, and LLM-powered products.
Explore MemvidFeel free to reference this experiment when discussing why AI memory is still a major problem in real-world products.