Recruit participants to train AI models

Recruit millions of vetted participants to generate the high-quality training data your AI needs to learn, align, and scale.
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Access skilled professionals in any industry
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Source hard-to-find experts for evaluation and fine-tuning
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Generate high-quality, large-scale training data with precision
HomeUse Cases
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Training data you can trust

Real humans. Verified data. Smarter AI systems.

AI models are only as good as the data they’re trained on. Beyond raw data, you need input from professionals with specialized knowledge. Post-training feedback and evaluation from qualified humans makes the difference between an unreliable model and one you’d trust in production.

Who you can target with User Interviews:

  • Domain experts
  • AI taskers
  • Niche segments
  • Technical audiences
Our Solution

A human network for model training

Tap into a diverse and fraud-protected panel to recruit domain experts – whether they’re surgeons, software engineers, or multilingual testers. Generate high-quality training data quickly and at scale.

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Diverse capabilities

  • Model training: label, transcribe, and validate data at scale
  • Model alignment: human feedback (RLHF), bias detection, factuality checks
  • Model evaluation: edge-case testing, longitudinal monitoring, performance validation
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Real examples

  • HealthTech platform training diagnostic models for PTSD detection
  • Research agency training voice models to better understand accents
  • Big tech company training image models to recognize people in photos

Learn more about our AI training capabilities and expert network

You’re in good company
Why User Interviews

Scale AI development with our on-demand network

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Recruit niche expertise

Need engineers to validate outputs, clinicians to label medical data, or multilingual participants to test speech recognition? With advanced targeting and screening, we’ll match you to the right experts.
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Move fast, maintain quality

With instant feasibility checks, fraud protection, and automated incentives, our platform helps you rapidly fill projects and collect high-quality data. No delays, no resampling, no bad actors.
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Embedded workflows

Recruit panelists within our platform or your own. Plug our recruitment engine into your tech stack with our Recruit API. Build custom workflows and embed recruitment seamlessly into your AI training pipeline.
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Scale without compromise

Whether you’re sourcing 50 testers or 50,000, our panel of 6 million vetted participants ensures you’ll find the humans you need – across industries, countries, demographics, and technical criteria.
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27,000+ sessions targeting AI discovery | 44,000+ sessions targeting model training
67% of AI research targets job titles | 10,000+ participants in our largest training studies

27,000+ sessions targeting AI discovery
44,000+ sessions targeting model training
67% of AI research targets job titles
10,000+ participants in our largest training studies

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Case studies

How AI teams scale quickly with User Interviews

Case Study #1

In-person physical device testing

  • Segment: 10,000+ technology testers in major US metros
  • Project: 3-hour onsite data collection and functionality testing
  • Team: Research agency on behalf of technology giant
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Case Study #2

Multimodal data collection

  • Segment: Thousands of testers recruited globally
  • Project: Multi-day video diary study for multimodal data collection
  • Team: Leading computer vision company in the emotion AI space
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Case Study #3

App testing for health conditions

  • Segment: Hundreds of participants with specific health conditions
  • Project: App testing with multimodal data collection
  • Team: Leading neurotechnology company working on diagnostics app
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Case Study #4

Survey with customer service agents

  • Segment: 80 full-time customer service or service desk agents
  • Project: A 30-minute survey capturing feedback on an AI-powered tool
  • Team: A major workflow automation platform in the IT space
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Researching AI? Check out these resources.

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FAQs

Who recruits with User Interviews for AI training?

Human input in AI training is critical across industries where expertise and precision matter. User Interviews is trusted by organizations that need real humans to help AI systems learn, align, and improve. Agencies, tech companies, and specialized startups all use our panel to find niche participants and domain experts.

Examples include:

  • Medical researchers recruiting surgeons to walk through mock procedures for diagnostic models
  • Software companies enlisting engineers to validate and correct AI-generated code
  • Speech technology teams sourcing multilingual participants to train voice recognition systems
  • Accessibility innovators connecting with users of assistive technologies to ensure inclusive design

Whether the goal is model training, alignment, or evaluation, Recruit makes it simple to match the right experts to the right AI tasks. 

What is AI training?

AI training is the process of teaching artificial intelligence systems how to recognize patterns, make decisions, and generate outputs by providing them with large amounts of training data. During training, models learn from examples so they can perform useful tasks with increasing speed, accuracy, and reliability. This process often involves both raw data and human feedback, for example:

  • Collecting and labeling data to give the model context and meaning
  • Training on that data to identify patterns and relationships
  • Evaluating and refining outputs through human feedback, ensuring accuracy
Why is human input important for AI training?

Humans play a critical role in every stage of AI training. Humans provide the judgment, expertise, and contextual understanding that AI systems can’t replicate on their own. For example, they generate data by completing tasks, label data to help model interpretation, provide domain expertise to surface edge cases, give feedback on outputs, catch errors, and ensure models reflect real-world standards. This human-in-the-loop approach makes AI training more accurate, ethical, and trustworthy.

Why use User Interviews for AI training?

Because we specialize in recruiting participants you can’t find anywhere else. With precise targeting, a vast and vetted panel, and fraud prevention baked in, we ensure you get qualified, reliable humans for every task from code validation to accessibility testing. Our diverse panel, self-serve targeting, and screening tools make sourcing these niche audiences fast and reliable.

The AI training market is growing considerably and access to qualified humans is critical. User Interviews can help you recruit niche participants in any field to get your AI product to market faster and help your organization win more market share.

What types of AI tasks can User Interviews support?

We support a wide range of human-in-the-loop AI training needs. Our vast panel can fulfil any consumer, professional, technical, or niche recruiting need to improve model outcomes.

You can use User Interviews for:

  • Model training: generating, labeling, tagging, transcribing, and validating data to create high-quality training sets
  • Model alignment: human feedback (RLHF), bias detection, and factuality checks to ensure outputs meet human standards
  • Model evaluation: testing models against real-world tasks, exploring edge cases, and running longitudinal monitoring to track performance over time

Quickly connect with domain experts and specialized users to ensure your AI systems are reliable, inclusive, and ready for real-world use.

Smarter recruiting. Stronger AI.

Learn how we can support any consumer, professional, or technical data collection need.

Explore pricing
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