Workada looks like a real, registered company, but it is very new, so judge it on the evidence. It is a Delaware LLC based in San Francisco, it pays contributors through Stripe, it verifies identity through Persona, and people on Reddit describe real interviews and real work. Its website terms only date from May 2026.
Roles Open Now
Pay as listed, checked 2026-11-08
- Food Delivery AI Response EvaluatorListed at $10 to $30 an hour · Remote
- Domain Contributor, Evaluation SpecialistListed at $30 to $60 an hour · Remote
- Evaluation Specialist/Recent GradListed at $20 to $60 an hour · Remote
- Usability TesterListed at $20 to $30 an hour · Remote
- Video Data AnnotatorListed at $8 to $10 an hour · Remote
- Video Data Annotation SpecialistListed at $8 to $10 an hour · Remote
The facts below come from Workada's own pages, its business registration and its domain records, all checked on 2026-10-12, plus a Reddit pass the same day. DigiNo has no link with Workada and earns nothing from it.
Is Workada Legit?
Here is what can be checked from outside the company:
- Workada, LLC is on the Delaware business register as a domestic limited liability company, with The Corporation Trust Company as its registered agent.
- Its privacy policy gives a San Francisco office address and a privacy email at workada.co.
- Its terms of use and privacy policy are both dated 2026-05-21.
- The workada.com domain was registered in May 2025, and workada.co in May 2026.
Workada's own trust page says it operates both domains and that official email always comes from @workada.co. It says it never asks for a fee, and never asks for bank details or ID outside the Stripe and Persona steps.
What is missing is a track record. The company reports its own numbers for the last 30 days: more than 1,500 active contributors and more than 2,000 onboarded. Those are small and self-reported, and there are no independent reviews yet with years of history behind them.
Sources: Workada trust page, Workada privacy policy, Workada terms of use, Delaware record via OpenCorporates, Workada homepage.
What Workada Contributors Do
Workada says contributors review, compare or annotate data so AI systems learn from human judgment. Its pages name these task types:
- Labeling images
- Annotating video
- Reviewing financial documents
- Captioning medical images
Some projects ask you to compare two AI outputs and explain your choice. Others need a specific professional or educational background.
On 2026-10-12 its opportunities page listed 7 open roles, from general data labeling to film and video logging, science reasoning and financial analysis. Each project has its own timeline, so the work on offer shifts as projects start and end.
Sources: Workada how it works, Workada opportunities.
Who Can Join
- Contributors based in the United States or Canada. Some projects narrow that further.
- No prior AI training or annotation experience is needed for general roles. Specialist roles ask for a background in the field.
- A Windows 10 or newer computer, or a Mac, running Chrome. Chromebooks are not supported.
- A mobile number that takes SMS for verification. Landlines, VoIP and Google Voice numbers are not accepted.
Sources: Workada FAQ, Workada how it works, Workada security page.
How You Get In
- Apply to a role and upload your resume. There is no fee.
- Workada reviews the resume and, if you fit, books a short interview with a member of its team.
- Join an onboarding session, get placed in a small team with a lead, verify your identity through Persona and connect Stripe.
- Complete paid, role-specific training and a short set of training tasks.
- Claim tasks from a queue. Hours are tracked automatically.
Workada says most contributors go from applying to their first task in a matter of days. Submitted tasks go to a quality team that checks them against the project guidelines.
Sources: Workada how it works.
How Workada Pays
Pay is hourly. Each role states its rate on its own listing page, so you see it before you apply.
Payouts go out three times a week through Stripe, straight to your bank account. Workada says the first payment can take a few extra business days while Stripe sets up your account.
You work as an independent contractor. The terms say Workada does not withhold taxes except where the law requires it, so taxes are on you.
Sources: Workada FAQ, Workada how it works, Workada terms of use.
What Contributors Say on Reddit
Workada comes up often in r/AiTraining_Annotation, especially in recent weeks. Contributors there say:
- The interview is a relaxed video call with a real person, which several found a welcome change from AI interviews.
- It suits beginners, and training is paid.
- Offboarding can be sudden. One contributor of a few months says they were removed after asking for help on a hard project, despite good scores.
- Some applicants were turned down quickly with no reason given.
- Only US and Canada residents can work. Others warn that getting around the location rule gets accounts banned, and offers to run an account for someone else show up in the comments.
Sources: r/AiTraining_Annotation: interview, r/AiTraining_Annotation: beginners and interview, r/AiTraining_Annotation: offboarding, r/AiTraining_Annotation: paid training and offboarding, r/AiTraining_Annotation: location rule, r/AiTraining_Annotation: platform thread.
How Workada Compares With Ethos and Mercor
| Workada | Ethos | Mercor | |
|---|---|---|---|
| Where you can join from | US and Canada only | Countries checked against the payout providers | Many countries; payout countries are listed |
| How you get in | Resume, then a short interview with a person | A recorded AI voice interview, then matching | One role-specific AI interview of about 20 minutes |
| How you are paid | Hourly, three times a week through Stripe | Revolut or Wise | Weekly, through Stripe Connect or Wise |
| Track record | Terms dated May 2026 | UK company with published expert terms | Public talent docs and a public jobs feed |
Workada suits people in the US or Canada who want a human interview and general data work. Ethos and Mercor are open in more countries and lean toward people with a professional background.
Not sure which fits you? The AI Training Job Matcher asks two questions and points you to our top pick for your field.
Want to compare it with the rest? Our list of AI training and data annotation companies covers every company we checked, with the work, who it hires and how to get in.
Sources: Mercor AI interview, Mercor payout countries, Mercor pay policy, Ethos privacy policy, Ethos expert terms.
Find AI Training Work That Fits You
Chat with DigiNo Toucan. Two questions, no CV needed.
Should You Apply?
If you live in the US or Canada, applying costs nothing, and the checks above all point the same way. Treat it as one platform among two or three, because it is new and offboarding stories already exist.
Only trust email from @workada.co, never pay anyone for an account or a referral, and never let someone else work on your account.
Before you share any ID, read how to tell real AI training jobs from scams.
DigiNo earns a referral if you join Ethos or Mercor through our links. We have no link with Workada.
Workada FAQ
Is Workada legit?
The evidence says it is a real company. Workada, LLC is registered in Delaware, lists a San Francisco address, verifies identity through Persona and pays through Stripe. It is also very new, with terms dated May 2026, so it has little track record yet.
Who can work for Workada?
People based in the United States or Canada, on a Windows or Mac computer running Chrome. General roles need no AI training experience; specialist roles ask for a background in the field.
How does Workada pay?
Hourly, at the rate shown on each role's listing. Workada pays three times a week through Stripe to your bank account, and the first payout can take a few extra business days.
What are good alternatives to Workada?
Ethos and Mercor run AI training projects in more countries, mostly for people with a professional background. The AI Training Job Matcher on DigiNo asks two questions and points you to the best fit.
