I uploaded a bunch of old notes, screenshots, and random PDFs that I had saved but never really looked at again.

What surprised me was how useful it was for finding connections between things I had completely forgotten about. Instead of reading everything again, I could just ask questions and let it point me to the relevant parts.

One thing that helped a lot: give the notebook a specific job. Instead of asking “summarize this,” I asked things like “What are the main things I should pay attention to?” and “Which notes contradict each other?”

It made the whole thing feel way less overwhelming.

What’s the most useful or unexpected way you’ve been using Gemini Notebook?

I used to just throw my notes into NotebookLM and ask for a summary. Lately, I’ve been asking more specific stuff like: Where do these sources disagree? or
What claims are only supported by one source?
The answers have been way more useful than a basic summary. Anyone else have a simple NotebookLM trick that actually works?

Role Title: Data Annotator

Role Type: Contractor

Location: Remote

About the Role

Our company is looking for Data Annotators to work on a client project that helps improve AI systems through accurate data labeling. Your job will be to carefully review and label video and audio data so AI can learn from real-world examples. You don't need previous AI experience—your attention to detail and ability to follow instructions are what matter most.

What You'll Do

• Label video and audio files based on project guidelines.
• Review and improve existing annotations to make sure they're accurate and consistent.
• Identify unclear or unusual cases and report them when needed.
• Work with the project team to clarify instructions and resolve questions.
• Keep track of your completed work and meet project deadlines.
• Share feedback to help improve the annotation process and tools.
• Ensure your work meets the project's quality standards.

What We're Looking For

Experience with data annotation, especially video and audio, is preferred.

Strong attention to detail and accuracy.

Good written and spoken English skills.

Ability to follow detailed instructions carefully.

Comfortable working independently in a remote environment.

Good judgment and problem-solving skills when handling unclear or complex data.

Experience using data labeling or annotation tools is a plus.

Dm me if you are interested