Alignment starts with who you ask.

Preference pairs, reward model training data, SFT demonstrations, and instruction-following feedback - from verified human populations you specify by expertise, demographics, and domain knowledge.

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200,000+ verified participants · 38+ countries · 300+ prescreening attributes

Choose Prolific for alignment and preference data.

Your model's alignment is shaped by every preference judgement in your training data. Who made those judgements - their expertise, their demographics, their values - is an architectural decision, not an operational detail. Prolific gives alignment teams the ability to specify, verify, and reproduce the human populations behind their preference data.

Specified preference populations

Define exactly who provides your preference judgements - by expertise, demographics, language, cultural background, and domain knowledge. Your reward model learns from the populations you choose.

Demographic breadth

Alignment isn't one population's preferences. Collect preference data across demographics, cultures, and value systems to build models that align with the breadth of your user base - not just the median annotator.

Speed to training

Preference data at the speed your training pipeline demands
First preference pairs in hours. Production-scale batches in days. Collect via API and feed directly into your training loop - no manual data wrangling between collection and fine-tuning.

Tap into diverse perspectives

Align your AI systems with both specialized knowledge and representative human values.

Tap into 200k+ verified participants, including Domain Experts and diverse participants across varied demographics.

FEATURES

Automate evaluations at scale

Connect evaluations directly to your tools and systems with our API.

Or design your own evaluation tasks with AI Task Builder.

FEATURES

Choose how you want to collect your data

Self-serve through our platform with pay-as-you-go pricing to launch projects instantly. No subscription fees or minimum commitments.

Need end-to-end support? Use our managed services for participant sourcing, quality management, and project execution—so your engineers can focus on model development.

FEATURES

Managed Services

How fast-moving AI teams use Prolific

Trusted by AI/ML developers, researchers, and leading organizations across industries.

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Unpacking human preference for LLMs - The HUMAINE framework

The evaluation of large language models faces significant challenges. Technical benchmarks often lack real-world relevance, while existing human preference evaluations suffer from unrepresentative sampling, superficial assessment depth, and single-metric reductionism.

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Building breakthrough AI faster

Ai2 reduced human data collection from weeks to hours with Prolific, building state-of-the-art multimodal AI models faster without sacrificing quality.

Text-to-image AI models

Prolific’s streamlined participant management process meant the researchers could achieve a high level of engagement and satisfaction among participants. This was necessary for obtaining high-quality data.

Questions?

How quickly can we start collecting evaluation data?

Our platform is designed for immediate deployment. Self-serve projects can launch in minutes, and results can start to arrive within hours. Managed services projects will depend on various factors relating to project scope, evaluation requirements, and other considerations.

What kinds of alignment data can we collect through Prolific?

You can connect Prolific to any data collection interface using our UI or API. Collect any data format—text, images, audio, and video—for a wide range of alignment techniques, such as supervised fine-tuning (SFT), Reinforced learning from human feedback (RLHF), direct preference optimization (DPO), and more.

How much work will my team need to do versus what Prolific handles?

With our self-serve platform, you control the process. We provide the infrastructure and participants. You design tasks in your evaluation tool or our AI Task Builder, set criteria, and analyze results.

With managed services, we handle everything from participant sourcing to quality assurance. You define requirements and get verified results.

How does Prolific compare to traditional labeling providers?

Traditional labeling providers use large annotation teams on hire. They offer little transparency into their profiles and selection criteria.

Prolific gives you direct access to verified evaluators through self-serve or managed options. This gives you both the quality assurance of managed services and the transparency and control of direct access, with much faster turnaround times

Better preference data. Better aligned models.

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