◆ MATLAB

Get started with team-based labeling

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts
See the prompt↓All MATLAB tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskSet up a team-based labeling project for the new radar sensor data coming in from the test…+
Set up a team-based labeling project for the new radar sensor data coming in from the test vehicle. We need to label cars, trucks, and pedestrians. Assign the first batch of 500 images to Alex, and the next 500 to Maria. Make sure they can start by tomorrow morning.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore we roll out this new labeling project to the entire team, make it efficient and…+
Before we roll out this new labeling project to the entire team, make it efficient and error-proof. Can you create clear, concise instructions for each object type, set up a review workflow so I can easily check their work, and flag any potential ambiguities in the labeling guidelines that might lead to inconsistencies?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe new labeling team members are struggling with occluded objects in the lidar point cloud…+
The new team members are inconsistently labeling occluded objects in the lidar point clouds, leading to noisy data.
The new labeling team members are struggling with occluded objects in the lidar point cloud data, especially when a pedestrian is partially hidden behind a car. Their labels are inconsistent, and I'm afraid this will severely impact the accuracy of our perception model. I've tried clarifying the guidelines, but it's not sticking. What's the most likely reason for this persistent inconsistency, and what's the best next step to get them aligned before we process another 10,000 frames?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI consistently lose valuable time getting new team members up to speed on labeling projects.…+
I keep losing time trying to integrate new team members into labeling projects, as they often struggle with initial setup and understanding complex guidelines.
I consistently lose valuable time getting new team members up to speed on labeling projects. They often struggle with the initial tool setup, understanding complex object definitions, and navigating the review process, which delays our data annotation efforts. What habit should I change to create a more self-sufficient onboarding process for new labelers, ensuring they can contribute effectively and accurately from day one without constant supervision?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from MATLAB's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.