SourceBae
Sourcebae · Coding · Business
Sourcebae is an AI workforce platform where domain experts get paid to annotate data, rank model outputs, and stress test AI systems for major labs. Payouts run weekly, at $15 to $150/hr.
About SourceBae
What Is Sourcebae
Sourcebae sits between two groups that need each other: AI teams with models to improve, and specialists with knowledge those models still lack. The platform recruits doctors, lawyers, translators, programmers, and other subject experts, checks their skills, then places them on annotation, feedback, and testing projects.
Most of the work falls into a few buckets. Someone labels a batch of medical images. Someone else reads two chatbot answers and says which one is better, and why. A security specialist tries to break a model before it ships. These tasks are slow to automate because they depend on judgment that only a trained person can supply.
The company says it works with Google, Meta, Anthropic, and more than 200 other AI companies, drawing on a pool of 10,000+ experts across 50+ countries. All of it is remote AI work, which is why the applicant pool spans time zones. Pay scales with the rarity of the expertise, so a licensed clinician earns more per hour than a general text annotator.
There are real limits. Work arrives in projects, not as a salaried schedule, so income swings with client demand. Onboarding involves identity and skills checks that can take days. And companies can't sign up and start a project alone; enterprise work runs through a sales conversation, which slows procurement for small teams.
Getting Started
- Create a profile with your domain, qualifications, and weekly availability. Signup takes about two minutes.
- Complete the skills review. Sourcebae uses an automated evaluation to sort applicants into project pools.
- Pick work from the task queue once a project matches your background. Most assignments are self-paced.
- Track quality scores and earnings in the dashboard, then withdraw weekly by direct deposit or PayPal.
Product Information
A quick look at SourceBae's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Licensed professionals in medicine, law, or finance
- Graduate students and researchers
- Multilingual speakers
Tasks
- AI data annotation for image, text, audio, and video datasets
- Ranking paired model responses for RLHF
- Running adversarial tests before a launch
- Writing domain eval questions
Scenarios
- Bridging a gap between contracts
- Adding income beside a day job
- Seeing how frontier labs collect feedback
Key features
Domain expert matching
Profiles are scored on subject knowledge rather than generic resume keywords. That matters because a project for oncology radiology has little use for a fast typist with no clinical background. Matching runs on an automated evaluation, then a human review for specialist tracks.
Multi-format annotation tools
The workspace handles image bounding boxes, text spans, audio segments, and video frames in one interface. Pre-labels from a model arrive first, and your job is to fix what the model got wrong. Sourcebae reports an average quality score of 98.7% across its annotation pool.
RLHF and preference ranking
Raters compare model outputs side by side, pick a winner, and explain the choice in a sentence or two. Those judgments train reward models and calibrate alignment work. The company says it has served 50+ LLM projects on this side of the business.
Red teaming and safety testing
Certified specialists probe models for prompt injection, data leakage, and unsafe responses before release. Findings go into a structured report the client can act on. Sourcebae claims 500+ vulnerability tests completed to date.
Synthetic data and dataset building
For teams that need training data without real user records, Sourcebae assembles domain specific synthetic sets and custom pipelines. The selling point is coverage of rare cases that scrapeable data misses, such as uncommon legal filings or regional dialects.
Model evaluation frameworks
Clients get structured benchmarks rather than ad hoc spot checks, with scoring rubrics built for their use case. The company says it has evaluated 200+ models. For a buyer, that means a documented result you can compare across releases.
Earnings dashboard and weekly payouts
The dashboard shows completed tasks, quality scores, and pending pay in one view. Payouts run every week through direct deposit or PayPal, and Sourcebae takes no cut from expert earnings. For freelancers used to net 60 payment terms, that timing is the practical difference.
Pros and cons
Pros
- Weekly payouts with no platform fee taken from expert earnings.
- Stated rate range of $15 to $150/hr, so you can judge a project before committing.
- Work spans annotation, RLHF, red teaming, and evaluation instead of one narrow task type.
- Domain matching gives credentialed specialists an edge over generalist applicants.
- The task queue, quality scoring, and earnings view sit in one web workspace.
Cons
- Income is project based, so a quiet month means less work and no guaranteed hours.
- Acceptance depends on demand in your field, and niche domains can wait weeks for a match.
- Identity and skills verification delay the first paid task, which hurts if you need money this week.
- No self-serve enterprise signup and no public API, so procurement and integration both take longer than teams expect.
Frequently asked questions
It supplies AI companies with vetted human experts for data labeling, preference ranking, safety testing, and model evaluation. Experts work remotely through a web platform and get paid by the hour for completed tasks.
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