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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.
10K AI Tutors
10K AI Tutors
50 Domains
50 Domains
15 Languages
15 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.
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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.
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*The advertised amount of "$300/week" is based on a sample of earnings and is not a guaranteed amount. Individual earnings will vary depending on factors such as hours worked and quality of the services. The "Average Pay" is an estimate, and Mindrift does not guarantee that all individuals will achieve this level of earnings. No one is entitled to a specific payment amount, and this advertisement should not be interpreted as a promise or guarantee of future earnings.
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© 2025 Toloka AI BV
© 2025 Toloka AI BV