Mile cruise and uber.

Yeah.

So what we've done it scale is built the data platform for a I.

So a eyes really built on top of data.

And these algorithms require billions and billions of examples of labeled data to be able to perform in a safe, reliable way.

So this 22 year old interviewed me for a full time position and rejected me.

Just kidding.

He was 19 when he interviewed me and rejected me.

That was three years ago, and that was a senior up Waterloo.

Well, in my defense, they never actually explicitly rejected me.

They just go sit me after the interview.

I'm sure you didn't.

Emails later.

Let's take a look at their old website.

This company used to be called scale a p I.

And it wasn't focused only on labeling trading data.

They built an A P I for human labor.

We're gonna go back to August 2016 huh?

I don't think that's it.

Okay, that's more like it.

So kind of like taskrabbit, but with without the in person stuff.

So, like, phone surveys, transcription e commerce, tagging some categorization, outsourcing bitch work Essentially now they only focus on categorization, a k a labeling for model training.

So refined bitch work.

Scare was funded by a Lucy Grow and Alexander Wang.

Even his name looks like a startup.

Anyways, back then there were only two co founders and they were looking to hire their first engineer.

So I applied.

Here's the e mail exchange we had loose equal I she matched with on tinder year ago.

She didn't respond to me, but But then again, my opening message wasn't that great.

So apparently my resume stood out because I did a lot of different roles.

So that's good.

As a start up, we look for someone who can wear many hats.

Well, that's good.

They quickly hit me up with a take home project.

Oh, shit.

Well, I mean, it's too late now.

The project asked me to create post end points for them so they're customers can send an imitation box, requests a K, sent images and then we or scale a P.

I will have their contractors drop boxes around whatever they want and then send them back to the customers, where they will probably use it for some machine learning.

model or something.

So this project just focuses on this part, and the U I for the scale contractors to actually draw the box is actually, I think I still have the coat for this.

Let me whip it out.

All right, So here's what I built so that the contractors can use to drop boxes.

All right, let's send it some requests.

So he received hers.

Four images or four request.

I'm sending.

All right, and then we'll see this.

And here you go.

So you could see now that you have a few requests, and here you see a picture of, ah, a few cows.

And here it says you have to annotate baby cow and big cow.

And then the instructions that says draw box around each baby cow and big cow.

So that's cool.

So I think it's pretty simple.

You just, you know, draw them, baby.

Cal, Baby cow, baby cow.

Oh, no.

That's not a baby cow.

So, you know, you could exit out, switched a big cow and then annotate the big cow.

Then you can also reset it.

You could also say it's broken feather, it's broken.

And then there's also the urgency here.

He could also sort by urgency if you want.

So here you go.

You have urgency.

Short urgency, sort by date.

You can also click another one if you don't want to do this one right now.

Ah, yeah, I think that's pretty much it.

So let me just Cal Tate, this big cow, baby cow, baby cow and then mama cow.

This will be saved in the database and scented a customer and the customer receive received these things, and then you just submit and then you submit it.

And then here's another example.

Um, I think this is a picture of a K pop group called No.

Okay, I I know it's black Pink.

I know.

Blocking.

So here it says, draw box around the best black pink member, and then the objects is like my biased.

Okay, let's see.

Okay.

Um, uncle Okay.

And then, uh, are you serious?

All right.

So I think you get the point.

And, um, they also told me to use the mean stack.

Um, if I can, But to be honest, I wasn't much of a front end guy, so I ended up using the men stack.

You know, very patriarch of me, um, had some angular, but it was clear that I wasn't really using the framework, right.

But, I mean, they said they loved it, though.

Um, but I have a feeling they didn't look at the source code until later on when they ghosted me.

So no hard feelings, though.

I mean, I goes myself, too.

I would have been a trash employee was popping.

Guys, Here's a day in the life of an early start employees.

So here's me coding right now.

So they invited me for an interview and the Alexander to CEO interviewed me.

We just chatted, and then he asked me an algorithm question.

The question was fine.

Median and data stream question.

He had to give me a hint for me to solve it, so that probably didn't help my chances.

And unfortunately, he didn't respond to me after the interview.

And then, as you can see, here's my last desperate attempt after a month.

I know.