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/NaToKy24
What I love most about DA: it's an actual meritocracy
What I absolutely love about working at DA is the meritocracy. The higher the quality of your work, the higher the reward.
Creating complex coding scenarios, doing deep analysis of models, and synthesizing results are all part of my daily routine, and I love it.
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.
r/DataAnnotationTech
u/Sharp-Sherbert-4194
100K!
Hit 100k the other day! I do this full time. Not what I originally intended when I signed up, but I've managed so far.
I started as a generalist but I have coding work too.
r/DataAnnotationTech
u/Emelody_cellobabe
DA has seriously changed my life
This work has opened up so many opportunities for me and is now enabling me to work full-time independently.
I started as a generalist, then passed the coding eval and have more often than not had plenty of work.
r/DataAnnotationTech
u/E13AN0R
Just hit 75k!!
Started almost a year ago and have just hit this milestone :) I had just graduated from uni when I started doing this and it was a lifesaver whilst I was looking for graduate jobs.
I'm based in the UK and I have a Master's degree in physics so I do a mix of specialist stem, coding, and sometimes generalist projects.
r/DataAnnotationTech
u/LeatherScience633
DA saved me, and I wish I could say thanks
In just 2 months I have already paid off my debt that would have taken me around an year to pay back. I can also leave my extra jobs and actually focus on my passion instead.
Working for them has been the best thing to happen to me so far.
r/DataAnnotationTech
u/CharacterBlood1495
Hit the 10k mark in one month : )
I have earned 10k in a month (my first month started at the end of April). I needed this and will definitely continue working with them.
I plan to keep working and be able to pay for a masters maybe in the fall.
r/DataAnnotationTech
u/OhLemons
Broke 130k this month!
I love that I can switch between coding tasks and those with rubrics, and that the work is always changing, so it never gets boring.
The taxes hurt, but it is worth it to help support the services like free healthcare here in Canada.
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.
I've been working about 2-3 hours a day, 5 days a week, for just over 2 years.
r/DataAnnotationTech
u/PossibilityNo1696
200k Club
Treated DA as pretty much full time for the past 3 years and its been a god send for me.
I've saved a huge amount of money working from home, managed to work on a part time masters degree, and also been able to spend more time on myself.
r/DataAnnotationTech
u/Responsible-Fly-3808
My personal experience with DA [CODING]
In less than 2 months I've made a little over $20k, which honestly still feels surreal typing out.
A lot of it feels like real engineering/problem-solving work — debugging code, evaluating implementations, reasoning about edge cases.
r/DataAnnotationTech
u/MCSquareGlobe
Actually can help pay student debt now
This made living as a grad student actually affordable. In 2 weeks I just over doubled what I normally make.
Half of what I need to do in grad school is writing, so writing practice has been well needed.
r/DataAnnotationTech
u/physicsandwolves
100k club
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Thanks DAT, I've been able to live an awesome life because of this job. Traveled to 28 countries, built a wrap around deck for my mom, created a massive garden, and so much more!
You can do it too, keep up the good work people!
r/DataAnnotationTech
u/neverenoughpepper
Jumping on the Milestone bandwagon
It's been a long, almost 3 year journey. Coder, self taught, and the first year or so was really, really tough. But I have no words for how thankful I am for DA.
I've had some amazing jobs in my life, but none compare to the constant challenges and rewards of this one.
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.