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SourceBae

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Domain experts for AI training, data labeling, and model evaluation

ウェブサイト:https://sourcebae.com/
追加日:2026年7月13日
月間訪問者数:
34.8K
ソーシャルと電子メール:
AI workforceData annotationData labelingRLHFHuman feedbackRed teaming
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SourceBae
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ツール情報

SourceBaeとは何ですか?

Sourcebae is an AI workforce platform that connects domain experts with AI companies and organizations seeking support for data annotation, human feedback, red teaming, synthetic data generation, model evaluation, and related AI training projects.

コア機能

  • AI-verified expert matching

    Sourcebae evaluates experts' skills with AI and matches them with projects aligned with their expertise.

  • Data annotation and labeling

    Supports image, text, audio, and video labeling with quality assurance and audit-ready delivery.

  • RLHF and human feedback

    Provides expert raters for preference ranking, Constitutional AI alignment, and reward model calibration.

  • Red teaming and safety testing

    Offers adversarial testing by certified specialists to help identify model vulnerabilities before deployment.

  • On-demand AI talent

    Provides access to pre-vetted machine learning engineers, prompt engineers, and data scientists.

  • Synthetic data generation

    Creates domain-specific training datasets and custom data pipelines intended to reduce bias and improve model accuracy.

  • Model evaluation

    Provides structured benchmarking and evaluation frameworks for assessing model performance before deployment.

  • Expert work platform

    Includes AI-assisted annotation, real-time quality scoring, project manager feedback, flexible task queues, and an earnings dashboard with weekly payouts.

使用例

  • #1

    AI model training

    Source expert workforce support for data labeling, RLHF, preference labeling, and Constitutional AI alignment.

  • #2

    Model safety and red teaming

    Use specialist adversarial testing to stress-test models before they reach users.

  • #3

    Model benchmarking

    Evaluate models using structured benchmarking and evaluation frameworks before deployment.

  • #4

    Flexible expert work

    Domain experts can create profiles, complete AI verification, select matching projects, work remotely, and receive weekly payments.

以下に最適:AI companiesAI labsEnterprisesDomain expertsMachine learning engineersPrompt engineersData scientistsResearchers working on AI training and evaluation

料金プラン

Customer pricing is not disclosed in the official snapshot. Experts can apply for free, with no fees or hidden costs for experts. The official snapshot also states that expert payments are processed weekly via direct deposit or PayPal and lists earnings of $15-$150 per hour.

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よくある質問

What is Sourcebae?
Sourcebae is an AI workforce platform that connects domain experts with companies working on AI training, data labeling, model evaluation, red teaming, and related projects.
What services does Sourcebae provide?
Sourcebae provides data annotation and labeling, RLHF and human feedback, red teaming and safety testing, synthetic data generation, model evaluation, and access to on-demand AI talent.
What types of data can be labeled through Sourcebae?
The platform supports image, text, audio, and video labeling.
Does Sourcebae provide AI experts?
Yes. Sourcebae states that it provides access to pre-vetted machine learning engineers, prompt engineers, and data scientists.
Does Sourcebae offer red teaming for AI models?
Yes. Sourcebae offers adversarial testing by certified specialists to help identify model vulnerabilities before deployment.
Is Sourcebae free for experts?
The official snapshot states that experts can apply for free and that there are no fees or hidden costs for experts.
What does Sourcebae cost for customers?
Customer pricing is not clearly published in the official Sourcebae snapshot.
Does Sourcebae have third-party integrations?
Specific third-party integrations are not clearly published by the official source.

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ツール情報

料金モデルUnknown
カテゴリビジネスツール
タグ
AI workforceData annotationData labelingRLHFHuman feedbackRed teaming
言語英語
最終更新日2026年7月16日
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