Human data platform supplying participants for AI training and research
Prolific runs a participant-sourcing platform that supplies human data for AI developers and researchers, built on Python, Django REST Framework, Vue and TypeScript across AWS, GCP and Azure. The hiring mix leans heavily toward data and research roles rather than engineering, and projects such as RLHF, payroll-task benchmarks and dataset auditing suggest much of that hiring is domain-expert work feeding AI model evaluation.
Notable leadership hires: Projects Lead
Prolific is a London-headquartered, privately held company founded in 2014, with 51–200 employees. It operates a platform where AI developers, academic researchers and organizations recruit real participants to collect data, run studies and label content. Its work spans AI training data, model evaluation and online research. Hiring reaches across Europe, North America, Asia-Pacific, Africa and the Middle East, reflecting a globally distributed participant and contributor base.
Prolific uses Python, TypeScript, Vue and Django REST Framework, runs on AWS, GCP and Azure with Kubernetes, Terraform, Terragrunt, Crossplane and ArgoCD, and uses Datadog, PyTorch, TensorFlow and scikit-learn.
Job posts point to AI model training and evaluation, RLHF, AI dataset auditing, fact-checking, conversational model training and a benchmark for evaluating payroll tasks.
Prolific hires in the United Kingdom, Germany, Spain, Italy, Ireland, the Netherlands, Poland, the United States, Canada, Mexico, India, Japan, South Korea, Australia, South Africa, the UAE and more.
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Prolific's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.