Rates
$50–$100+/hr
Software Engineering
Web Development
DevOps
Mobile Development
Data Science
Machine Learning
Your expertise drives real Al progress.
Rigorous work. Real impact. Fair pay.
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Software Engineers
Smarter than AI?
Prove it.
The models shaping the future of AI are only as rigorous as the coders behind them. Apply your expertise where it matters, and get paid to do it.
This is not busy work.
The best code generation models still produce race conditions, ignore edge cases, and write O(n³) where linear time is trivial. You're the filter that catches what compilers can't, one annotation at a time.
Rigor
Production-grade review
Not toy problems. You're checking whether a model correctly implements concurrent data structures, auditing security-critical code paths, and assessing system design trade-offs. The same rigor as a senior code review.
Signal
Direct impact on code generation
Every correction teaches the next generation of coding agents to write better code. Catch a race condition or a bad complexity class, and you stop bugs before they ship to millions.
Flexibility
Work on your schedule
No standups, no sprint commitments, no on-call. Tasks are available 24/7 and you choose when and how much to work. Most contributors work 10–50+ hours a week alongside engineering roles, open-source, or coursework.
Rate
Competitive compensation
Engineering expertise is scarce and we pay for it. Rates start at $50+/hour and scale with complexity and performance, competitive with senior contract rates and well above typical crowdsourced platforms.
Three steps.
No overhead.
Apply now
Apply
& Qualify
Complete a short engineering assessment. We evaluate how you identify correctness bugs, reason about complexity, and write clean, idiomatic code. No résumé required.
Get Matched
Based on your stack and assessment results, you're matched to projects that fit your expertise. Systems programming, web backends, ML pipelines, mobile, infrastructure, whatever fits.
Work &
Get Paid
Complete tasks on your own schedule. Each has clear specifications, test cases, and a defined scope. Payment is per-task, processed weekly, starting at $50+/hour.
$150M+
Paid to contributors
55+
Languages Represented
100k+
Expert Annotators
5+ yrs
Average time people stay
What you'll actually do.
Write a prompt
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Craft precise engineering prompts designed to probe the boundaries of model reasoning — not toy problems, but challenges that expose incorrect algorithms, unsafe memory access, and flawed system design decisions.
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Review AI output
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Evaluate model-generated code line by line. Identify race conditions, memory leaks, incorrect error handling, and algorithmic inefficiencies that
would fail production code review.
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Write the correct solution
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Author a complete, production-quality implementation that demonstrates the correct approach. This becomes training signal for the next model generation.
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Where models need you most.
These are the areas where today's language models still fall short, from misread instructions to broken logic and fabricated facts. Your judgment is what closes the gap.
Systems
& infrastructure
Evaluate AI reasoning about distributed systems, networking, operating systems, and infrastructure design. Verify claims about consensus protocols, storage engines, and scalability trade-offs.
Algorithms
& data structures
Review model outputs on algorithm design, complexity analysis, and data structure selection. Catch incorrect Big-O claims, flawed dynamic programming formulations, and suboptimal data structure choices.
Security
& cryptography
Assess Al-generated code for security vulnerabilities,cryptographic misuse, and authentication flaws. Identify injection vectors, broken crypto implementations, and authorization bypass patterns.
Backend
& API design
Evaluate reasoning about API architecture, database design, caching strategies, and service communication. Identify N+1 queries, incorrect transaction isolation levels, and flawed idempotency implementations.
Frontend
& performance
Review model outputs on frontend architecture, rendering performance, state management, and accessibility. Verify claims about bundle optimization, hydration strategies, and browser API usage.
Built for people who think clearly.
Software Engineers
Professional developers with production experience looking for flexible, intellectually demanding work outside their day jobs.
CS Students
Upper-division and graduate CS students with strong foundations in algorithms, systems, and software engineering principles.
Staff &
Principal Eng.
Apply deep systems knowledge and architectural expertise to challenging AI training data projects on their own schedule.
Open-Source Contributors
Maintainers and active contributors with demonstrated ability to write clean, well-tested, production-quality code.
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.
Common Questions.
What kind of work will I do?
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.
What kind of projects are available?
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.
Who is this for?
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.
What kind of position is this?
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.