SourceBae: 連結 AI 實驗室與領域專家進行資料蒐集,但缺乏供大量學術研究參與者使用的自助式市集。 Prolific 每月有 18,697,671 次造訪,月增率 -1.8%,定價模式為付費。SourceBae 每月有 21,727 次造訪,成長率 +20.1%,定價模式為需聯絡報價。
| 面向/指標 | ||
|---|---|---|
| 官方網域 | prolific.com | sourcebae.com |
| 定價模式 | 付費 | 需聯絡報價 |
| 每月造訪次數 | 1869.77萬 (18,697,671) | 2.17萬 (21,727) |
| 月流量變化量 | -35.2萬 (-1.8%) | +3634 (+20.1%) |
| 主要市場與市佔 | 🇺🇸 美國 (48.8%) | 🇮🇳 印度 (80.7%) |
| 每月直接造訪 | 1297.97萬 | 3660 |
| 使用者評分 | 4.6 | 4.1 |
| 支援平台 | 網站 | 網站 |
為 AI 訓練、評估與研究提供高品質人類資料
依詳細的人口統計、職業與行為條件篩選參與者,觸達小眾或具代表性的樣本,而非泛泛的人群。
採集用於模型微調的人類偏好資料,執行安全性評估與紅隊測試,並透過回饋 API 把人工環節接入自動化流程。
注意力檢驗、誠實度篩查與審批流程,協助你在分析結果前剔除敷衍或欺詐性回答。
發布研究後能迅速開始收集回答,工具支援篩選條件、配額設定與縱向研究設計。
用領域專家和真實世界資料訓練 AI
由與主題領域匹配的專家(而非通用標註員)產出監督微調提示、參考答案、示範範例和評審標準。
圍繞準確性、相關性、指令遵循度和領域品質收集對比資料,讓模型能依人類偏好排名進行調校。
依專家定義的準則評估回答,暴露錯誤、知識盲區和表現不穩定之處,並用對抗性提示挖掘安全缺陷。
在家庭、工廠、倉庫、車間、農場、實驗室和臨床場景中採集真實任務,為機器和 Physical AI 建構訓練資料。

免費 / 開源Workable is an agentic recruiting and HR platform. A native AI agent sources passive candidates from 400M+ profiles, screens every applicant against your job criteria and builds vetted shortlists inside a complete ATS, while onboarding, performance, time off, employee records and reporting run on the same system of record.
免費 / 開源Workable is an agentic recruiting and HR platform. A native AI agent sources passive candidates from 400M+ profiles, screens every applicant against your job criteria and builds vetted shortlists inside a complete ATS, while onboarding, performance, time off, employee records and reporting run on the same system of record.
Arc 認證遠端人才市場中的 AI 候選人配對

專項更強SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
專項更強SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.

專項更強提供用於專業研究已驗證的 B2B 專業人士與醫療專家,但缺乏廣泛的一般大眾學術調查小組。
為 AI 代理僱用真人完成現實世界的任務

免費 / 開源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
免費 / 開源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.