Workada
AI-training-data and data-labeling platform: contributors review, categorize, and evaluate text, image, video, and financial data. Remote, task-based, HQ San Francisco. Team-based contributor model.
- Open jobs
- 7
- Typical pay
- $62.50–$128.75/hr
- Rating
- 0.0
- Would recommend
- 0%
- Work type
- AI Training
- Company size
- 11-50
- Headquarters
- Remote (task-based; HQ San Francisco, CA)
About Workada
Workada produces high-quality labeled data for AI systems by connecting contributors with remote, flexible data-labeling and evaluation work. Contributors review, organize, categorize, evaluate, and quality-check digital content, spanning text, images, video, and financial/content data, so that AI systems can better understand information and perform real-world tasks more accurately. Workada positions itself somewhat differently from purely anonymous task-marketplace platforms: it describes its contributors as part of an "AI data research team," with a more structured, human-centered model that can include real interviews when joining, personal check-ins, advanced training, and weekly touch-bases with team leads and fellow contributors. It is headquartered in San Francisco, California. Work is remote and schedule-flexible ("work smart, work remote"), and contributors take on different kinds of projects reviewing AI-generated content, financial data, and other material, similar in category to other AI-training-data and data-labeling platforms, but with more team structure and support built around the work.
Who Workada hires
Workada's work centers on careful, consistent judgment rather than a specific technical background. Contributors review and label content, evaluate AI-generated outputs, review financial or other structured data, and quality-check the results, so attention to detail, the ability to follow detailed guidelines consistently, and (for some projects) domain familiarity (for example with financial data) are valuable. Because Workada uses a more team-based model than some competitors, joining can involve an actual interview rather than just an instant signup, along with training before you start on live projects, and ongoing check-ins with a team lead once you are working. Work is remote and flexible, contributors choose their schedule around available projects, and pay is per task or project rather than a fixed salary. This is gig/contract work best suited to people who want structured, flexible remote income rather than guaranteed full-time employment; specific project availability and pay depend on current client demand.
How the Workada hiring process works
- 1
Apply at workada.com · about 3 days
Submit an application; Workada uses a more structured model than some platforms, which can include an actual interview rather than an instant signup.
- 2
Interview and onboarding · about 7 days
A real interview and onboarding into the contributor team, with training before starting live project work.
- 3
Join a project team
Get matched to available data-labeling or evaluation projects, with a team lead and regular check-ins.
- 4
Complete labeling/evaluation work
Review, categorize, or evaluate content (text, image, video, or financial data) following project guidelines.
- 5
Ongoing check-ins and pay · about 7 days
Weekly touch-bases with your team lead; pay is per completed, approved task or project.
Open Workada jobs
Workada FAQ
What is Workada?
Workada is an AI-training-data and data-labeling platform. Contributors review, categorize, evaluate, and quality-check content (text, image, video, financial data) so AI systems can better understand information, working remotely on a flexible schedule.
How is Workada different from other AI-training platforms?
Workada emphasizes a more team-based, human-centered model: joining can involve a real interview, structured training, and weekly check-ins with a team lead, rather than a purely anonymous task marketplace.
How much can I earn on Workada?
Pay is per task or project and varies by project type and demand; similar labeling roles on the platform have been reported in roughly the $18-22/hour range. Treat this as variable income tied to available project work.
Is Workada remote?
Yes, work is fully remote and schedule-flexible, done on your own time around available projects.
Is Workada a full-time job?
No, it is contributor/contract work rather than salaried employment. Income depends on available projects and your output, though the team-based model provides more structure and support than a purely task-based marketplace.
How much does Workada pay?
Across 6 open Workada listings with posted pay, the median is $112.50 per hour, and most pay between $62.50 and $128.75 per hour.
Is Workada hiring right now?
Yes. Workada has 7 open AI training jobs listed here, updated daily.