Train AI with Real Financial Experience.
The models shaping the future of AI are only as rigorous as the finance experts behind them. Apply your expertise where it matters, and get paid to do it.
As seen on
This is not busywork.
The most advanced language models still hallucinate earnings figures, misapply valuation frameworks, and invent regulatory requirements. You're the analytical filter that catches what machines can't — one annotation at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short financial reasoning assessment. We evaluate your ability to identify flawed analysis, apply correct methodologies, and distinguish sound financial judgment from poor. No resume required — your analysis speaks for itself.
Get Matched
Based on your background and assessment results, you're matched to projects in your areas of strength. Valuation, corporate finance, derivatives, regulatory compliance, tax — you choose what fits.
Work & Get Paid
Complete projects on your own schedule. Each project has clear specifications and a defined scope. Payment is per-project, processed weekly, starting at $50/hour.
What you'll actually do.
Write a prompt
Craft precise financial prompts designed to probe the boundaries of model reasoning — not trivia, but questions that expose flawed valuations, misapplied accounting standards, and hallucinated market data.
Review AI output
Evaluate model-generated financial analysis line by line. Identify hallucinated earnings figures, misapplied discount rates, and logical gaps in risk assessment frameworks.
Write the correct solution
Author a complete, analytically rigorous financial analysis that demonstrates the correct reasoning. This becomes training signal for the next model generation.
Where models need you most.
These are the financial domains where current AI systems consistently produce dangerous errors. Your expertise directly addresses the hardest open problems in financial AI.
Equity Research & Valuation
Evaluate AI reasoning about DCF models, comparable company analysis, precedent transactions, and earnings forecasts. Verify assumptions on WACC derivation, terminal value, and revenue build-ups.
Fixed Income & Credit
Review model outputs on bond pricing, yield curve analysis, credit risk assessment, and structured product mechanics. Catch errors in duration calculations, spread analysis, and covenant interpretation.
Derivatives & Quantitative Finance
Assess AI-generated derivatives pricing, hedging strategies, and quantitative models. Verify Greeks calculations, option strategy payoffs, and stochastic model assumptions.
Regulatory & Compliance
Evaluate reasoning about financial regulations, reporting standards, and compliance frameworks. Identify misapplied GAAP/IFRS rules, incorrect Basel III/IV interpretations, and flawed Dodd-Frank analysis.
Portfolio & Risk Management
Review model outputs on portfolio construction, asset allocation, risk budgeting, and performance attribution. Verify optimization assumptions, factor exposure analysis, and drawdown calculations.
Paid to contributors
Expert annotators
Annotations completed
Built for people who think in basis points.
Finance Students
MBA candidates and advanced finance students with strong analytical foundations in valuation, accounting, and market structure.
Analysts & Associates
Investment banking, equity research, and credit professionals looking for flexible, intellectually engaging work outside deal hours.
Portfolio Managers
Buy-side professionals applying investment expertise and risk management knowledge to AI training data on their own schedule.
Academic Economists
PhDs and researchers with deep domain knowledge in financial economics, econometrics, or quantitative modeling.
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.