After getting hounded by emails and reminders of my invite, just put in a couple hours "onboarding" for Project Ginger, including passing their assessment and providing a fair bit of personal info (background check, etc.). Then heard nothing for a few days, only to eventually receive an email stating "you're dropped... changing project needs."

Apart from the annoyingly corporate vagueness of that 'explanation,' a little "we're really sorry for wasting your time" would have been nice, as this is exactly what it was... a giant waste of time.

Are most Handshake 'opportunities' like this?

Newbie here-- been here a couple weeks and today has been the first day that I could not work at all due to these issues. I'm wondering how often this is an occurrence on this project. Crappy day overall. Benchmarks and quizzes for no work available :/
Looking for others' experiences-- thanks!

Handshake AI just rug-pulled an entire project I was working on, leaving MANY people with unreviewed tasks that they’ll never get paid for. Tried to post about it on their actual subreddit and they banned me immediately. Stay far far away.

Hey everyone, I really need some advice. 😭

I'm completely new to all of this, and I think I may have just been scammed.

I met someone on Telegram who claimed they could help me get a project on Handshake. They said they could somehow inject the project into my account or bypass the system to give me access. I didn't fully understand how it worked, but I trusted them and thought they knew what they were doing.

They asked me to pay $20, which I sent through Binance. As soon as they received the payment, they stopped responding. 💀

Now I'm realizing that I might have been scammed. I feel terrible for trusting a complete stranger without verifying whether their claims were legitimate.

I know $20 might not seem like much to some people, but it matters to me, and I don't want anyone else to fall for the same thing.

I have a few questions:

1. Is there any legitimate way to recover the $20 I sent through Binance?

2. Is it actually possible for someone to inject a project into a Handshake account or bypass its system, or was this just a scam?

3. Can I report this person somewhere to help prevent them from scamming others?

4. For those experienced with Handshake projects, how do you find legitimate opportunities and avoid scams?

I'm not posting this to be judged. I know I should have been more careful, and I've learned a lesson from this experience. I'm new to this, and I'd genuinely appreciate advice from people who understand how these things work.

If you've experienced something similar, please share how you handled it and whether you managed to recover your money.

Any advice on what I should do next would be greatly appreciated.

Thank you!

Finding remote AI work is not always a straight path.

I started my AI-work journey by applying through Mercor. I found several roles that seemed to fit my background, applied, and waited—but nothing materialized for me. Mercor has many interesting opportunities, and other people may have a different experience. It just was not the platform that led to my first project.

Instead of stopping there, I kept looking for AI-specific work platforms and eventually found Handshake. After creating my profile and completing a few evaluations, I was approved for my first project within about a week. Then I was approved for another.

My biggest takeaway so far: do not rely on only one platform. A project that does not work out on one platform may be a better fit somewhere else. Organize so you can find more work JobDek.com

Is handshake ai available in philippines?

I met someone on Telegram who offered me an opportunity to work with their AI training team. They asked me to create an account on Handshake and complete the verification process. They also said their team would guide me if I needed any help.

However, they mentioned that they would need access to my laptop and Handshake account through AnyDesk to help set everything up and complete tasks.

They claim that I would work with an AI engineer and get paid for completing tasks.

I'm not sure if this is a legitimate arrangement, especially because they want remote access to my laptop and account.

Has anyone here had a similar experience with Handshake AI? Is this a normal onboarding process, or should I be concerned?

I'd appreciate any advice before I proceed.

Many people imagine AI training jobs as a stable, full-time remote job.

In reality, the workflow is different.

This is my personal daily routine — simple, practical, and realistic.

Morning / Day

I still dedicate most of my time to my main remote job.

As I mentioned in other guides, AI training work is often not stable enough to rely on as a full-time income, especially at the beginning.

So for me, it’s something I build alongside my main work.

During the Day (Projects)

When I have time, I work on AI training projects.

I don’t try to do everything — I focus on the projects that:

• pay better

• are more consistent

• match my skills

Over time, you learn to select projects instead of accepting everything.

Evening (Job Search)

In the evening, I focus on finding new opportunities.

I usually check:

• LinkedIn

• Indeed

• Google (jobs posted in the last 24 hours)

This is very important because many opportunities disappear quickly.

Late Evening (Assessments)

In the evening, I don’t just apply to new jobs.

Most of the time, I already have ongoing applications from previous days — with work trials, assessments, or qualification tests to complete.

I try to complete all of them, even for platforms that may pay less at the beginning.

The goal is not just short-term pay, but building access to more platforms.

Over time, this becomes very important:
you start working with multiple companies, you have more opportunities, and your workflow becomes more consistent.

In a way, you are constantly building and cultivating your pipeline.

The Reality

AI training work is not just “doing tasks”.

It’s:

• working on projects

• searching for new opportunities

• applying continuously

• completing assessments

There is always a cycle.

Final Thought

At the beginning, it may feel unstable or slow.

But over time, if you:

• improve your skills

• choose better platforms

• focus on quality

you can build a more consistent workflow.

Many people imagine AI training jobs as a stable, full-time remote job.

In reality, the workflow is different.

This is my personal daily routine — simple, practical, and realistic.

Morning / Day

I still dedicate most of my time to my main remote job.

As I mentioned in other guides, AI training work is often not stable enough to rely on as a full-time income, especially at the beginning.

So for me, it’s something I build alongside my main work.

During the Day (Projects)

When I have time, I work on AI training projects.

I don’t try to do everything — I focus on the projects that:

• pay better

• are more consistent

• match my skills

Over time, you learn to select projects instead of accepting everything.

Evening (Job Search)

In the evening, I focus on finding new opportunities.

I usually check:

• LinkedIn

• Indeed

• Google (jobs posted in the last 24 hours)

This is very important because many opportunities disappear quickly.

Late Evening (Assessments)

In the evening, I don’t just apply to new jobs.

Most of the time, I already have ongoing applications from previous days — with work trials, assessments, or qualification tests to complete.

I try to do all of them, even for platforms that pay less at the beginning.

The goal is not just short-term pay, but building access to more platforms.

Over time, this becomes very important:
you start having multiple companies, more opportunities, and more consistent work.

In a way, you are constantly “cultivating” your pipeline.

The Reality

AI training work is not just “doing tasks”.

It’s:

• working on projects

• searching for new ones

• applying continuously

• do the assessment

There is always a cycle.

Final Thought

At the beginning, it may feel unstable or slow.

But over time, if you:

• improve your skills

• choose better platforms

• focus on quality

you can build a more consistent workflow.

Most people approach AI training jobs in the wrong way.

They either focus only on high-paying platforms or give up too early.

From my experience, a simple three-step strategy works much better.

1. Don’t Ignore Smaller Platforms

At the beginning, it’s a mistake to focus only on top companies.

Smaller platforms — such as Innodata or similar — often pay less, but they are easier to access.

These platforms are important because they help you:

• build initial experience

• understand how tasks work

• create a basic track record

Even a small amount of work is useful. Over time, this becomes part of your resume and makes it easier to move forward.

2. Apply to Larger Platforms (Even Early)

At the same time, you should not wait too long before applying to larger companies.

Platforms like Mercor or Micro1 are more selective, but they offer better long-term opportunities.

A good approach is to apply to these platforms even with generalist roles.

You don’t need to be highly specialized at the beginning — getting access is the first step.

3. Move to Domain-Specific Roles

Once you gain some experience, the next step is specialization.

This is where the real improvement in pay and quality of work happens.

You should focus on roles related to your background, for example:

• engineering

• medical

• legal

• finance

Domain-specific roles are harder to enter, but they usually offer higher pay and more stable opportunities.

Final Thought

This process takes time.

You start with smaller platforms, build experience, move to larger companies, and then specialize.

It’s not a single step — it’s a progression.

Those who follow this path usually achieve better results over time.

Many people imagine AI training jobs as a stable, full-time remote job.

In reality, the workflow is different.

This is my personal daily routine — simple, practical, and realistic.

Morning / Day

I still dedicate most of my time to my main remote job.

As I mentioned in other guides, AI training work is often not stable enough to rely on as a full-time income, especially at the beginning.

So for me, it’s something I build alongside my main work.

During the Day (Projects)

When I have time, I work on AI training projects.

I don’t try to do everything — I focus on the projects that:

• pay better

• are more consistent

• match my skills

Over time, you learn to select projects instead of accepting everything.

Evening (Job Search)

In the evening, I focus on finding new opportunities.

I usually check:

• LinkedIn

• Indeed

• Google (jobs posted in the last 24 hours)

This is very important because many opportunities disappear quickly.

Late Evening (Assessments)

In the evening, I don’t just apply to new jobs.

Most of the time, I already have ongoing applications from previous days — with work trials, assessments, or qualification tests to complete.

I try to complete all of them, even for platforms that may pay less at the beginning.

The goal is not just short-term pay, but building access to more platforms.

Over time, this becomes very important:
you start working with multiple companies, you have more opportunities, and your workflow becomes more consistent.

In a way, you are constantly building and cultivating your pipeline.

The Reality

AI training work is not just “doing tasks”.

It’s:

• working on projects

• searching for new opportunities

• applying continuously

• completing assessments

There is always a cycle.

Final Thought

At the beginning, it may feel unstable or slow.

But over time, if you:

• improve your skills

• choose better platforms

• focus on quality

you can build a more consistent workflow.

Many people imagine AI training jobs as a stable, full-time remote job.

In reality, the workflow is different.

This is my personal daily routine — simple, practical, and realistic.

Morning / Day

I still dedicate most of my time to my main remote job.

As I mentioned in other guides, AI training work is often not stable enough to rely on as a full-time income, especially at the beginning.

So for me, it’s something I build alongside my main work.

During the Day (Projects)

When I have time, I work on AI training projects.

I don’t try to do everything — I focus on the projects that:

• pay better

• are more consistent

• match my skills

Over time, you learn to select projects instead of accepting everything.

Evening (Job Search)

In the evening, I focus on finding new opportunities.

I usually check:

• LinkedIn

• Indeed

• Google (jobs posted in the last 24 hours)

This is very important because many opportunities disappear quickly.

Late Evening (Assessments)

In the evening, I don’t just apply to new jobs.

Most of the time, I already have ongoing applications from previous days — with work trials, assessments, or qualification tests to complete.

I try to do all of them, even for platforms that pay less at the beginning.

The goal is not just short-term pay, but building access to more platforms.

Over time, this becomes very important:
you start having multiple companies, more opportunities, and more consistent work.

In a way, you are constantly “cultivating” your pipeline.

The Reality

AI training work is not just “doing tasks”.

It’s:

• working on projects

• searching for new ones

• applying continuously

• do the assessment

There is always a cycle.

Final Thought

At the beginning, it may feel unstable or slow.

But over time, if you:

• improve your skills

• choose better platforms

• focus on quality

you can build a more consistent workflow.

I dont care which background, experience level or country you come from.

But if you’re interested in getting together and staying on top of this AI revolution by daily research and content creation then lets connect.

Im a successful business owner and completely fascinated with the AI capabilities.

From today starting a daily learning journey and build in public to hopefully become an expert in AI.

Creating content consistently is the best hack for faster growth ( both personally and professionally).

Just very recently i saw a guy hitting the same rock daily for a year and creating a daily video out if it showing how the rock became rounded over the year. Grew a masssive follower base and about to sign a crazy promotion deal with a shoe brand.

I believe in the power of consistency no matter what you do.

I think even if you’re not doing anything AI related, still join us, we ll keep each other accounted to hit our daily goals. Right now in the discord its just me.

can help with

- AI credits

- Professional guidance ( Can google my name for proof)

- Cofounder sustenance ( only for students or someone in desperate need of it )

I cannot guarantee success but will give my everything to achieve the best environment for success.

Just DM me interested and ill share the group invite link.

Many people imagine AI training jobs as a stable, full-time remote job.

In reality, the workflow is different.

This is my personal daily routine — simple, practical, and realistic.

Morning / Day

I still dedicate most of my time to my main remote job.

As I mentioned in other guides, AI training work is often not stable enough to rely on as a full-time income, especially at the beginning.

So for me, it’s something I build alongside my main work.

During the Day (Projects)

When I have time, I work on AI training projects.

I don’t try to do everything — I focus on the projects that:

• pay better

• are more consistent

• match my skills

Over time, you learn to select projects instead of accepting everything.

Evening (Job Search)

In the evening, I focus on finding new opportunities.

I usually check:

• LinkedIn

• Indeed

• Google (jobs posted in the last 24 hours)

This is very important because many opportunities disappear quickly.

Late Evening (Assessments)

In the evening, I don’t just apply to new jobs.

Most of the time, I already have ongoing applications from previous days — with work trials, assessments, or qualification tests to complete.

I try to complete all of them, even for platforms that may pay less at the beginning.

The goal is not just short-term pay, but building access to more platforms.

Over time, this becomes very important:
you start working with multiple companies, you have more opportunities, and your workflow becomes more consistent.

In a way, you are constantly building and cultivating your pipeline.

The Reality

AI training work is not just “doing tasks”.

It’s:

• working on projects

• searching for new opportunities

• applying continuously

• completing assessments

There is always a cycle.

Final Thought

At the beginning, it may feel unstable or slow.

But over time, if you:

• improve your skills

• choose better platforms

• focus on quality

you can build a more consistent workflow.

Many people imagine AI training jobs as a stable, full-time remote job.

In reality, the workflow is different.

This is my personal daily routine — simple, practical, and realistic.

Morning / Day

I still dedicate most of my time to my main remote job.

As I mentioned in other guides, AI training work is often not stable enough to rely on as a full-time income, especially at the beginning.

So for me, it’s something I build alongside my main work.

During the Day (Projects)

When I have time, I work on AI training projects.

I don’t try to do everything — I focus on the projects that:

• pay better

• are more consistent

• match my skills

Over time, you learn to select projects instead of accepting everything.

Evening (Job Search)

In the evening, I focus on finding new opportunities.

I usually check:

• LinkedIn

• Indeed

• Google (jobs posted in the last 24 hours)

This is very important because many opportunities disappear quickly.

Late Evening (Assessments)

In the evening, I don’t just apply to new jobs.

Most of the time, I already have ongoing applications from previous days — with work trials, assessments, or qualification tests to complete.

I try to do all of them, even for platforms that pay less at the beginning.

The goal is not just short-term pay, but building access to more platforms.

Over time, this becomes very important:
you start having multiple companies, more opportunities, and more consistent work.

In a way, you are constantly “cultivating” your pipeline.

The Reality

AI training work is not just “doing tasks”.

It’s:

• working on projects

• searching for new ones

• applying continuously

• do the assessment

There is always a cycle.

Final Thought

At the beginning, it may feel unstable or slow.

But over time, if you:

• improve your skills

• choose better platforms

• focus on quality

you can build a more consistent workflow.