Prolific operates a crowdsourced human-data platform where over 35,000 AI developers and researchers launch studies to collect labeled training data and model evaluations. The hiring mix is heavily weighted toward data (197 roles) and research (115 roles)—not engineering (30)—which reflects the business model: scaling participant recruitment, quality assurance, and domain expertise in data validation rather than platform infrastructure. Active projects cluster around AI evaluation tasks, legal document analysis, and visual communication refinement, while pain points center on data quality, diversity, and compliance—the exact friction points that arise when operating a global participant pool across 25+ countries.
Prolific is a London-based platform connecting AI developers with a global pool of human participants for data collection and model evaluation. The company hosts over 35,000 active users launching new studies at a rate of one every 2 minutes. Core services include participant recruitment, crowdsourced task completion, and quality assurance of research outputs. The platform supports use cases across AI training data labeling, model evaluation, legal document analysis, and expert-led research. Operations span 25+ countries including the UK, US, Japan, Malaysia, Australia, and Canada, with a mid-stage team of 51–200 employees focused on research, data operations, and compliance.
Python, JavaScript, Java, Django, FastAPI, TypeScript, Vue, PostgreSQL, MongoDB, GCP, AWS, and Azure. Also uses Datadog, Power BI, Tableau, Hugging Face, and GitHub Actions.
Prolific hires and operates across 25 countries: UK, US, Japan, Malaysia, China, Taiwan, Australia, Canada, Mexico, South Africa, Spain, Germany, Netherlands, Ireland, France, Poland, Italy, Brazil, Sweden, Argentina, UAE, Colombia, Chile, Dominican Republic, and Vietnam.
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