Prolific
51 - 200 employees
Founded 2014
🤝 B2B
AI • B2B • Research
Prolific is a platform that facilitates fast and high-quality data collection by connecting researchers with participants, including AI taskers. Researchers can launch tasks, surveys, and experiments and receive responses from a global community of over 200,000 active participants within hours. Prolific prides itself on providing accurate and detailed data while ensuring that participants are fairly rewarded for their contributions. The platform is trusted by leading academics and organizations for its flexibility, simplicity, and rapid project execution.
Applied Scientist – Integrity
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
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Prolific
51 - 200 employees
Founded 2014
🤝 B2B
AI • B2B • Research
Prolific is a platform that facilitates fast and high-quality data collection by connecting researchers with participants, including AI taskers. Researchers can launch tasks, surveys, and experiments and receive responses from a global community of over 200,000 active participants within hours. Prolific prides itself on providing accurate and detailed data while ensuring that participants are fairly rewarded for their contributions. The platform is trusted by leading academics and organizations for its flexibility, simplicity, and rapid project execution.
📋 Description
• Join Prolific's Integrity team, which protects the platform from fraud and misuse • Help shape the role and create structure where there isn't much yet • Spot problems worth solving and start on them, rather than waiting to be assigned • Collaborate with others
🎯 Requirements
• Deep expertise in one applied ML, statistics, or data science specialism • Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches • 3+ years applying ML, AI research, or data science to real problems • Python skills sufficient to build, test, and iterate on working prototypes independently • Able to take a loosely defined product or customer problem and turn it into clear hypotheses, experiments, and metrics • You must be comfortable working on ambiguous problems, and suggesting solutions rather than waiting to be told exactly what to do • An MSc or PhD in Computer Science, Maths, Statistics, ML, or a related field — or equivalent knowledge gained another way • Experience working alongside product and engineering teams
🏖️ Benefits
• Competitive salary • Benefits • Remote working • Opportunities for groundbreaking research
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