Powered by Toloka ↗
Share what you know, shape what’s next
Help teach AI how professionals think. From clinical decisions to creative insights
Powered by Toloka ↗
Share what you know, shape what’s next
Help teach AI how professionals think. From clinical decisions to creative insights
Powered by Toloka ↗
Share what you know, shape what’s next
Help teach AI how professionals think. From clinical decisions to creative insights
Community
Join a global network of professionals building more capable, ethical AI through real-world insights and expertise.
20K AI Trainers
20K AI Trainers
90+ Domains
90+ Domains
20+ Languages
20+ Languages
70% Masters or PhD holders
70% Masters or PhD holders
Your experience makes the difference
Your experience makes the difference
See how our AI Trainers apply real-world knowledge, and why we need thoughtful contributors from all domains.
Mindrift is a platform that connects skilled contributors with AI training projects from leading tech companies. We are part of Toloka, a global leader in data generation and AI training since 2014.
What we’ve built together
What we’ve built together
From uncovering vulnerabilities to refining video, see what our trainer community made possible (and learned!) this year.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA at Mindrift
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA at Mindrift
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA at Mindrift
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA at Mindrift
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Safety project: exposing hidden risks
For one of the world’s largest AI companies, trainers exposed safety risks by thinking like malicious users — crafting harmful prompts, simulating attacks, and finding blind spots in systems built for global scale.
Along the way, they sharpened their creativity, resilience, and ethical awareness while helping build safer AI.
Nicole
QA
We had to remind everyone that while you may not feel this way, there are people out there that do. So unfortunately, they had to put themselves in the mindset of someone that would be malicious. It's tough, but people did it.
Reasoning Project: testing real-world scenarios
For a leading frontier-model developer, trainers built cases from medicine, finance, and education—real-world scenarios from offices, clinics, and classrooms worldwide.
The goal? Improve safety and reliability for models used by millions. In the process, they gained deeper insights into their own fields and how AI will shape their workflows and careers.
Tatiana
Medicine AI Trainer
Collaborating with such a diverse, global community on all sorts of projects has been a highlight. I am always picking up something new from others’ perspectives.
Creativity Project: shaping video standards
To improve the quality of AI-generated videos for an emerging media powerhouse, a group of trainers put their analytical and creative skills to the test.
They analyzed motion, realism, and style to flag what felt artificial and set new industry standards while exploring AI's impact on their field.
Sabina
QA
I was amazed by how AI handles video generation. This project helped me see the connection between text and visuals in a completely new way, inspired by both lifelike footage and surreal content.
Toloka, the company that created the Mindrift platform, works with the following clients:
Active projects
Active projects
Explore opportunities that match your expertise to get started.
Start your journey
Submit your CV, complete assessments, and verify your profile. After onboarding, you’ll be ready to explore AI projects or join the talent pool.
Apply with your CV, complete assessments, and confirm your identity. Once onboarded, you’ll get access to online freelance projects or be added to the talent pool.
Meet the minds behind the AI
Alex
Writer at Mindrift
Dipping in and out of projects as and when you have time is such a fantastic way to flexibly earn money from anywhere.
Jessica
Editor at Mindrift
At Mindrift, we’re not just training AI — we’re discovering new perspectives and expanding our own horizons every day.
Alexander
QA at Mindrift
Mindrift required me to use the skillset I acquired while I was transitioning from one industry to another, making me feel useful.
Ready to shape
the future of AI?
Whether you're a writer, editor, or bring specialized knowledge — there's a place for your skills.
Frequently asked questions
Is this a job?
No. Mindrift is a project-based platform where domain experts earn extra income contributing to AI training. There is no employment contract and no fixed hours. Most contributors participate alongside their primary career.
How much can I earn as an AI trainer?
$15 to $100+ per hour depending on project complexity and your domain expertise. Compensation is always visible before you begin each task.
What qualifications do I need?
Domain expertise in your field. 70% of our contributors hold a Master's degree or PhD. We accept experts across 90+ domains from STEM and law to creative writing and linguistics.
How and when do I get paid?
Payments are processed bi-weekly. You earn per completed task and the amount is shown before you start.
What kind of AI training tasks are available?
Writing expert prompts, evaluating AI-generated responses, justifying your assessments, and creating training data in your domain. Tasks range from simple ratings to complex multi-step projects.
Do I need AI experience to get started?
No. You need domain expertise — your professional knowledge is what makes AI better. We provide all the AI-specific onboarding you need.