Train AI and Shape the Future of Mathematics
The models shaping the future of AI are only as rigorous as the mathematicians behind them. Apply your expertise where it matters- and get paid to do it.
As seen on
Work that impacts your future.
The largest language models in the world still fail at undergraduate-level mathematics. You're the feedback loop that fixes this — one proof at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a math assessment. We evaluate your proof-writing, problem-solving, and ability to identify logical errors. No resume required.
Get Matched
Based on your assessment results, you're matched to projects in your areas of strength. Calculus, algebra, topology, number theory — you choose what fits.
Work & Get Paid
Complete tasks on your own schedule. Each task has clear specifications and a defined scope. Payment is per-task, processed weekly, starting at $40/hour.
What you'll actually do.
Write a prompt
Craft precise mathematical prompts designed to probe the boundaries of model reasoning — non-trivial problems that expose structural weaknesses and explore edge cases.
Review AI output
Evaluate model-generated solutions line by line. Identify logical gaps, missed edge cases, and incorrect theorem applications.
Write the correct solution
Author a complete, rigorous solution that demonstrates the correct reasoning path. This becomes training signal.
Where models need you most.
These are the areas where current AI systems consistently struggle. Your expertise directly addresses the hardest open problems in mathematical reasoning.
Proof-Based Reasoning
Evaluate and construct formal proofs. Identify logical gaps, invalid inferences, and incomplete case analysis in model- generated arguments.
Multi-Step Problem Solving
Review complex solutions requiring sequential reasoning. Check that each step follows validly from the last and that no intermediate steps are skipped.
Symbolic Logic & Formalization
Assess the model's ability to translate natural language into formal mathematical notation and reason within formal systems.
Edge Cases & Counterexamples
Identify where models fail on boundary conditions, degenerate cases, and subtle counterexamples that break general claims.
Quantitative Modeling
Evaluate applied mathematics problems involving optimization, statistical reasoning, and mathematical modeling of real-world systems.
Paid to contributors
Expert annotators
Annotations completed
Built for people who think in proofs.
Graduate Students
PhD and Master's candidates in pure or applied mathematics.
Olympiad Competitors
National or international competition experience in creative problem solving.
Research Mathematicians
Active or former researchers applying deep expertise to AI reasoning.
Applied Math Professionals
Quants, engineers, and data scientists with rigorous math foundations.
Around the web
People love the work.
A few threads from contributors who’ve been at it for a while.
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r/DataAnnotationTech
u/NameGivenMe
Critical thinking and explication
I love Dataannotation! They are paying me to do both; to trainthese faculties and enjoy the process.
I'm getting paid more to make them shaper than ever andinform the course of possibly the most consequentialdevelopment in history: Artificial Intelligence!
r/DataAnnotationTech
u/Explorer182
Rubric work
Hate to say this, but rubrics are my favorite.
I know. When im doing them they make my brain go crazy, yet i miss them when not around.
r/DataAnnotationTech
u/C_Gull27
Working in math
The one where I get to work in the subject I enjoy and applied to the site for (math)
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Indeed
Data Annotator
Productive, Flexible, and Good Pay
“The pay is very competitive and more than enough for the work I produce.”
Indeed
AI Trainer
Schedule Flexibility and Good Pay
“I feel well compensated for my time.”
Indeed
AI Trainer
Fun and flexible
“I enjoy this work, it's fun and challenging.”
Accuracy is paramount.
r/DataAnnotationTech
u/OhLemons
Fact-checking and research
I really enjoy fact-checking.
Researching different topics is really fun, and it's easy to spend a full day working on these projects because the topics can vary so much.
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Glassdoor
Ai data annotator
Glassdoor
“The project assignments can be really interesting are often fun, and can usually be done any time of day or night.”
My experience has been nothing but positive so far.
Trustpilot
Victor Bizuett
Legit company
“Legit company, tasks are complex enough and most of the time they are quite fun to accomplish”
r/DataAnnotationTech
u/Traditional_Big2860
I love DA!
Last week I decided to take the coding assessment and got accepted within a day, now after 5 days of work I've surpassed 1k!
I still can't believe this. I'm really grateful.
r/DataAnnotationTech
u/textartguy
Belated Milestone Post
Been working since March 2024. I honestly feel so lucky to have both found this job and to have been able to keep it for so long.
I thought I might make a few grand max at the start.
Glassdoor
Remote AI Trainer
AI Trainer at Data Annotation
“Flexible working time and location”
r/DataAnnotationTech
u/LegendNumberM
Making models fail
I like the projects where I make prompts to make models fail.
I love seeing the subtle to downright hazardous ways these models fail to do as expected.
r/DataAnnotationTech
u/Dangerous_Darling
Learning through fact-checking
Same. Love fact-checking. And I learn so much!
r/DataAnnotationTech
u/Dangerous_Darling
100k club
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Woooooooooooo hit the 100k club last week, but I waited to post until my paid out also hit 100k!
Thanks DAT, I've been able to live an awesome life because of this job.
r/DataAnnotationTech
u/paranormalisnormal
$40k — I Love You Data Annotation <3
Data Annotation has saved my ass financially and allowed me to help out my loved ones.
Couldn't ask for a better job.
Glassdoor
AI Content Writer
Good for Part Time Gig
“Pay is good, fully flexible hours with no required minimum.”
Glassdoor
Ai data annotator
Great little source of income
“Lots of interesting projects to work on with a variety of subjects and specialised interests.”
Frequently Asked Questions
Have questions? Here we answer the most common questions.
You'll work on tasks that help AI perform better, like reviewing responses, checking accuracy, refining prompts, and rating outputs. No coding or technical background needed.
Projects vary but commonly include reviewing AI-generated text, ranking responses, checking facts, labeling data, and reviewing content in specific subject areas. All focused on improving real production AI systems.
This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact. Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is a flexible, task-based contractor role. You work remotely on your own schedule, focused on output quality rather than hours logged. There is no long-term commitment required, and you can work as much or as little as you choose.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.