Workada
Operated by Workada, LLC, a Delaware LLC based in San Francisco (no founding year published; the domain was registered May 2025 and its Terms took effect May 2026).
In one paragraph
Workada pays for image labeling — billed at an hourly or project rate, paid via Stripe. Typical pay: hourly rates published per role: Data Labeling $17/hr; Footage Logger $28-30+/hr; AI Reasoning Analyst $50/hr; Finance and Life Sciences expert roles $100/hr — paid hourly with automatic time tracking and paid training. Available: Open only to contributors based in the United States and Canada per the site FAQ. Minimum age 18+ (Terms of Use require at least 18 years old or the age of legal majority in your jurisdiction).
Quick facts
| Fact | Detail |
|---|---|
| Category | AI Training & Data Labeling |
| Platform type | AI training and annotation contributor platform |
| Website | workada.com |
| Pay unit | Hourly or project rate |
| Typical rate | Hourly rates published per role: Data Labeling $17/hr; Footage Logger $28-30+/hr; AI Reasoning Analyst $50/hr; Finance and Life Sciences expert roles $100/hr — paid hourly with automatic time tracking and paid training |
| Payout methods | Stripe |
| Payout cadence | Weekly, After validation |
| Minimum payout | Not published — pay is sent three times a week through Stripe straight to your bank account; no threshold stated |
| Minimum age | 18+ (Terms of Use require at least 18 years old or the age of legal majority in your jurisdiction) |
| Countries | 2 tracked — Open only to contributors based in the United States and Canada per the site FAQ; some roles are US-only (e.g. AI Reasoning Analyst 'Must be based in the United States') and others specify US or Canada. |
| Languages | English |
| Equipment | Computer, Microphone, Stable internet |
| Experience needed | Beginner to advanced |
| Identity verification | Government-issued ID, photographs and selfie-video verification via Persona before the first task (Workada does not hold raw ID); tax IDs (SSN, EIN or local equivalent) and tax forms (W-9/W-8BEN); an SMS-capable mobile number (VoIP/Google Voice rejected); payment accounts must be in the contributor's own name. |
| Last verified | 2026-10-05 |
Pros & cons — facts only
Pros
- Rated beginner to advanced — open to newcomers.
- Payout cadence: Weekly.
- Publishes rate guidance: hourly rates published per role: Data Labeling $17/hr; Footage Logger $28-30+/hr; AI Reasoning Analyst $50/hr; Finance and Life Sciences expert roles $100/hr — paid hourly with automatic time tracking and paid training.
Cons
- Entry gated by qualification/identity checks.
- Expert-tier expectations: rejections cost unpaid time.
How to join Workada
- Apply via a short form (name, email, country, phone, resume PDF max 10MB)
- confirmation email
- resume review
- a short 1:1 human interview (Zoom, schedulable via Calendly)
- onboarding session and placement in a small team with a lead
- Persona identity verification and Stripe payout setup
- paid role-specific training with knowledge checks and training tasks
- self-serve task queue with automatic hourly time tracking.
Signup involves: Sign up · Portfolio or resume · Assessment interview · Identity verification · Email verification
Pay & payouts
- Typical rate: Hourly rates published per role: Data Labeling $17/hr; Footage Logger $28-30+/hr; AI Reasoning Analyst $50/hr; Finance and Life Sciences expert roles $100/hr — paid hourly with automatic time tracking and paid training
- Billed per: Hourly or project rate
- Payout methods: Stripe
- Payout cadence: Weekly, After validation
- Minimum payout: Not published — pay is sent three times a week through Stripe straight to your bank account; no threshold stated
Requirements
- Minimum age
- 18+ (Terms of Use require at least 18 years old or the age of legal majority in your jurisdiction)
- Languages
- English
- Identity verification
- Government-issued ID, photographs and selfie-video verification via Persona before the first task (Workada does not hold raw ID); tax IDs (SSN, EIN or local equivalent) and tax forms (W-9/W-8BEN); an SMS-capable mobile number (VoIP/Google Voice rejected); payment accounts must be in the contributor's own name.
- Skills
- Varies by role: general Data Labeling needs a Bachelor's (completed or in progress), 1+ year reviewing/evaluating work (UI/UX, editorial, QA, photography, etc.) and strong written English; Footage Logger needs post-production/captioning timecode experience; expert roles require finance experience (IB/PE/FP&A, 24+ months at a top-tier firm for one listing), science degrees for chart reasoning ($50/hr) or a life-sciences PhD ($100/hr). No prior AI-training experience needed; no coding or ML background for most roles.
- Equipment
- Desktop or laptop running Windows 10+ or recent macOS with Chrome required (Chromebooks, Linux and tablets not supported); stable high-speed internet (minimum 25 Mbps down / 5 Mbps up per one listing); microphone for occasional voice-recording tasks.
Where it's available
Open only to contributors based in the United States and Canada per the site FAQ; some roles are US-only (e.g. AI Reasoning Analyst 'Must be based in the United States') and others specify US or Canada.
Restrictions: All countries outside the US and Canada are not accepted for application; the Terms additionally prohibit work from comprehensively US-embargoed or state-sponsor-of-terrorism countries and sanctioned persons.
- Canada
- United States
What kind of work
- Image labeling
- Video annotation
- AI response evaluation
- Prompt evaluation
- Transcription
- Annotation
- Evaluation
- Validation
- Domain expert consultation
- Quality analysis
- Data collection
AI-training task types
- Image labeling
- Video annotation
- AI response evaluation
- Audio transcription
- Data collection
- Prompt evaluation
Workada FAQ
Is Workada legit?
Yes — Workada is a real, operating platform. We verified its signup, payout, and policy pages directly on 2026-10-05 using 14 sources.
How much does Workada pay?
Hourly rates published per role: Data Labeling $17/hr; Footage Logger $28-30+/hr; AI Reasoning Analyst $50/hr; Finance and Life Sciences expert roles $100/hr — paid hourly with automatic time tracking and paid training. Work is billed at an hourly or project rate, so earnings scale with volume and acceptance rates.
How does Workada pay out?
Via Stripe. Payout cadence: Weekly / After validation. Minimum payout: Not published — pay is sent three times a week through Stripe straight to your bank account; no threshold stated.
Who can join Workada?
Minimum age 18+ (Terms of Use require at least 18 years old or the age of legal majority in your jurisdiction). Open only to contributors based in the United States and Canada per the site FAQ; some roles are US-only (e.g. AI Reasoning Analyst 'Must be based in the United States') and others specify US or Canada. Government-issued ID, photographs and selfie-video verification via Persona before the first task (Workada does not hold raw ID); tax IDs (SSN, EIN or local equivalent) and tax forms (W-9/W-8BEN); an SMS-capable mobile number (VoIP/Google Voice rejected); payment accounts must be in the contributor's own name.
How do I sign up for Workada?
Apply via a short form (name, email, country, phone, resume PDF max 10MB) → confirmation email → resume review → a short 1:1 human interview (Zoom, schedulable via Calendly) → onboarding session and placement in a small team with a lead → Persona identity verification and Stripe payout setup → paid role-specific training with knowledge checks and training tasks → self-serve task queue with automatic hourly time tracking.
What skills does Workada require?
Varies by role: general Data Labeling needs a Bachelor's (completed or in progress), 1+ year reviewing/evaluating work (UI/UX, editorial, QA, photography, etc.) and strong written English; Footage Logger needs post-production/captioning timecode experience; expert roles require finance experience (IB/PE/FP&A, 24+ months at a top-tier firm for one listing), science degrees for chart reasoning ($50/hr) or a life-sciences PhD ($100/hr). No prior AI-training experience needed; no coding or ML background for most roles.
Sources & verification
Facts on this page were verified against 14 sources. Last full check: .
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