How quality assurance shapes better AI
Roles and more
April 3, 2025
By
Mindrift Team
We often talk about AI Trainers being the human intelligence behind the machine. They’re the ones teaching AI models to produce text that sounds natural—like a conversation you might have with a friend—while being accurate and avoiding harmful language.
But with so many AI Trainers working from every corner of the world on different projects, which often involve complex guidelines and multiple tasks, it can be difficult to ensure everything goes smoothly. That’s where our QAs come in!
Quality Assurance (QA) specialists are the people behind the scenes helping AI learn from accurate, high-quality data. At Mindrift, they’re often experienced AI Trainers or domain experts with a talent for navigating complex guidelines.
“Experts often skim guidelines... but writing quality and strict compliance with instructions are critical,” says Simon, a QA at Mindrift. That’s why QAs are a vital part of the project lifecycle—they make sure everyone else stays on track!
Dive into what QAs do at Mindrift and find out if you might be a perfect fit.
Who are QAs?
QAs are researchers, editors, educators, and specialists. Some come with the experience of having contributed to previous projects as an AI Trainer. Others bring their strong subject knowledge in one of our many domains to ensure complex projects run smoothly.
What they share is the ability to absorb critical information and apply it with precision.
“QA serves as the quality control for all the content... we ensure everything is up to standard,” says Tristan, a QA at Mindrift.

What do they do?
“Typical work for a QA specialist includes evaluating the results produced by AI tutors and ensuring they’re satisfying the clients' requests. QA specialists are also required, in some cases, to guide AI tutors through more complex tasks,” explains Alexander, a QA at Mindrift.
When a QA starts a project, they need to read and fully understand multiple pages of instructions and guidelines. Our QAs become the touchpoint for every project—they need to know every single detailed instruction and guideline.
“Client demands are much more refined, which means our work is more intricate. Some guidelines are 60 pages long, and tasks that once took minutes now take hours,” says Simon, a QA at Mindrift.
Not only that, but they also apply these instructions to different tasks and evaluate whether AI Trainers are following them accurately. Beyond that, QAs also help put together tests and materials used to qualify AI Trainers for new opportunities.
“We also measure quality metrics using certain data analytics tools, and that helps us intervene with highly productive individuals who may need some assistance. So we've got sort of a multi-level series of checks and balances to ensure that everyone's doing their part to maintain quality,” adds Tristan, a QA at Mindrift.
A common misconception about the QAs is that they’re mentors or team leads. While QAs do offer support when needed, they’re unable to closely mentor AI Trainers or provide in-depth feedback on all matters.
Instead, we encourage AI Trainers to make use of our Help Center—it’s packed with information, provides access to a chat for immediate help, and allows you to create a support ticket for more complicated situations. You can also take your questions and issues to the appropriate Discord channels.
Is being a QA worth it?
Our satisfaction surveys show that QAs find their experience more rewarding than other freelance opportunities. It’s flexible, intellectually challenging, and has a real impact on shaping ethical AI.
While QAs often deal with more complex instructions and day-to-day tasks, they also have the opportunity to really feel like they’re making a difference. According to Simon, one of our QAs, “we’re in a phase of rediscovering the need for human refinement.”
Becoming a QA is the perfect opportunity to contribute your skills and talents while learning more about the intricacies of AI Training and GenAI in general.
As Roman, a QA at Mindrift, explains, “working in a team of more than 40 members was an incredible experience, giving me valuable skills in project coordination on a scale I had never experienced before. It helped me better understand and adapt to the objectives and goals of someone responsible for overseeing an entire project as well as its individual components.”
Do you want to be a QA at Mindrift?
If you’re ready to work with complex guidelines, switch between tasks and topics quickly, and go through content with a finetooth comb, you might be a good fit for the QA opportunity.
Unlike other freelance opportunities, the QA requirements are sometimes a bit more restrictive. You might need a Masters or PhD, along with several years of experience in your field, to qualify. In terms of soft skills, you’ll thrive if you:
Have strong writing or domain knowledge
Aren’t afraid of long guidelines
Value quality, structure, and purpose-driven work
And as one of our QAs, Alexander says, “be pedantic—that’s very important!” Does this sound like you? Check out our opportunities page to see if we’re looking for someone in your domain and apply now!
Browse domains, apply, and join our talent pool. Get paid when projects in your expertise arise.
Article by

Mindrift Team