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Codeaid vs Prolific
Codeaid 记录了 2,647 月访问量，月度环比增长为 -36%，定价为免费增值。Prolific 记录了 18,697,671 月访问量，增长率为 -1.8%，定价为付费。
Codeaid 记录了 2,647 月访问量，月度环比增长为 -36%，定价为免费增值。Prolific 记录了 18,697,671 月访问量，增长率为 -1.8%，定价为付费。
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | codeaid.io | prolific.com |
| 定价模式 | 免费增值 | 付费 |
| 月访问量 | 2647 (2,647) | 1869.77万 (18,697,671) |
| 月度环比流量变化 | -1487 (-36%) | -35.2万 (-1.8%) |
| 主要市场与份额 | 🇺🇸 美国 (94.1%) | 🇺🇸 美国 (48.8%) |
| 直接访问 / 月 | 1039 | 1297.97万 |
| 用户评分 | 4.1 | 4.6 |
| 支持的平台 | 网站 | 网站 |
为 AI 与机器学习工程师打造的编程测评
按领域生成题目而非从通用题库抽取，覆盖深度学习、生成式 AI、NLP 与计算机视觉以及传统机器学习。
AI Interviewer 可基于专家设计的模板或从零开始，在数分钟内生成定制测评并调整难度与范围。
考生在交互式笔记本或容器化环境中作答，更贴近真实 AI 工作方式，而非白板式算法题。
提交内容自动分析，从模型准确率与代码质量两个维度评分，并输出结构化评估结果。
为 AI 训练、评估与研究提供高质量人类数据
按详细的人口统计、职业和行为条件筛选参与者，触达小众或具代表性的样本，而非泛泛的人群。
采集用于模型微调的人类偏好数据，开展安全性评估与红队测试，并通过反馈 API 把人工环节接入自动化流水线。
注意力检验、诚实度筛查和审批流程，帮助你在分析结果前剔除敷衍或欺诈性回答。
发布研究后能迅速开始收集回答，工具支持筛选条件、配额设定和纵向研究设计。
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.
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.
拥有庞大的市场调查消费者样本库，但缺乏 Prolific 对学术研究与 AI 调校的专门聚焦。
专项更强前沿 AI 训练所用的环境，以及负责重复性工作的智能体
Arc 认证远程人才市场中的 AI 候选人匹配
专项更强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.
专项更强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.
专项更强提供经过验证的B2B专业人士和医疗专家用于专项研究，但缺乏广泛的普通人群学术调查小组。
免费 / 开源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
免费 / 开源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
