Humans in the Loop

Name: Humans in the Loop
Brand: Humans

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A free Slack community for AI-powered coding and agentic AI development.

AI Data Labeling Data & Databases Transcription

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Tracked since2026

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The Bottom Line

Entry price

Paid plans only

Biggest pro

99% data accuracy backed by rigorous quality processes

Biggest con

Custom pricing requires engagement with sales team

TL;DR - Humans in the Loop

Ethical data annotation and AI training data services with 99% accuracy
Social enterprise employing displaced persons across Europe and the Middle East
Serves 100+ AI teams; refuses military/defense projects

Pricing: Paid only

Best for: Enterprises & pros

What is Humans in the Loop?

Editorial review

Humans in the Loop is a social enterprise providing ethical data annotation, dataset collection, and AI model validation services for machine learning teams. Operating in conflict-affected regions across Europe and the Middle East, it employs displaced persons and underserved communities to perform high-quality data labeling while supporting their livelihoods. The company serves over 100 leading AI teams with 99% data accuracy, covering image annotation, text classification, NER, audio transcription, and video labeling. As an ethical AI pioneer, it refuses military/defense projects and maintains strict data privacy standards. Its Foundation provides free upskilling courses in data labeling, English, and IT.

Available on: Web

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourcehumansintheloop.tech ↗

Pros & Cons

Pros

99% data accuracy backed by rigorous quality processes
Ethical and social impact, employs displaced persons and underserved communities
Refuses military/defense projects, ensuring responsible AI development
Foundation provides free upskilling courses to workers and communities

Cons

Custom pricing requires engagement with sales team
May have longer lead times than automated annotation tools
Focused on services rather than self-serve annotation platform

Key Features

Image annotation including bounding boxes, segmentation, and keypointsText classification, NER, and sentiment labelingAudio transcription and speech annotationVideo labeling and frame-by-frame annotationDataset collection and curation servicesAI model validation and edge case handlingQuality assurance with 99% data accuracy guaranteeEthical sourcing with displaced and underserved workforce

Pricing

Paid

Humans in the Loop offers paid plans. Visit their website for current pricing details.

View pricing

Is Humans in the Loop worth the price?

75/100

Humans in the Loop offers custom pricing, making it difficult to assess fairness without specific quotes.

However, the comprehensive features like 99% accuracy and ethical workforce suggest a premium service. This model is best for organizations with unique, complex data annotation needs that prioritize quality and ethical sourcing over standardized, off-the-shelf solutions.

Hidden Costs & Gotchas

Minimum project size or budget likely applies.

Potential for higher costs for urgent timelines.

Integration with existing pipelines might incur setup fees.

How Humans in the Loop Compares to Competitors

Unlike platforms like Scale AI or Appen, which offer tiered pricing or per-task rates, Humans in the Loop exclusively uses custom quotes. While Scale AI might offer a 'Starter' plan for smaller tasks, Humans in the Loop focuses on bespoke solutions, making direct price comparison challenging without a specific project scope. Their emphasis on an ethical workforce might command a premium over purely cost-driven alternatives.

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Humans in the Loop FAQ

How does Humans in the Loop ensure high data quality for AI models?

Humans in the Loop achieves 99% data accuracy through rigorous quality processes. It provides ethical data annotation, dataset collection, and AI model validation services for machine learning teams, covering various data types.

Which teams would benefit most from using Humans in the Loop's services?

Machine learning teams that require high-quality, ethically sourced data annotation and validation services would benefit from Humans in the Loop. It is suitable for organizations prioritizing responsible AI development and social impact.

How is Humans in the Loop priced?

Humans in the Loop operates on a custom pricing model. Prospective clients need to engage with the sales team to discuss their specific project requirements and receive a tailored quote.

What kind of data annotation tasks can Humans in the Loop handle?

Humans in the Loop can handle a wide range of data annotation tasks, including image annotation, text classification, Named Entity Recognition (NER), audio transcription, and video labeling. These services support various AI development needs.

Can Humans in the Loop assist with data collection for new AI projects?

Yes, Humans in the Loop offers dataset collection services in addition to data annotation and AI model validation. This allows teams to acquire relevant and high-quality data for their machine learning initiatives.

What are the primary trade-offs when considering Humans in the Loop compared to automated solutions?

Humans in the Loop focuses on providing services rather than a self-serve annotation platform, which means it may have longer lead times compared to fully automated annotation tools. Its custom pricing also requires direct engagement with a sales team.

How does Humans in the Loop's approach differ from a tool like LangChain?

Humans in the Loop provides human-powered data annotation, collection, and validation services, focusing on ethical data sourcing and high accuracy. In contrast, LangChain is a framework designed for developing applications powered by large language models, offering tools for orchestration rather than data labeling.

Source: humansintheloop.tech

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