Human Data Operations Partner
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Scientist -
Business
Data Analyst, Data Scientist
Overview
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.
Senior Human Data Operations Partner
Team:
Human Data
The role As a Senior Human Data Operations Partner, you will play a pivotal role in ensuring the smooth execution of end-to-end operational processes that power Prolific's specialised participant pools. You’ll enable client-specific projects, working closely with delivery teams to align participant-related processes with strategic AI customer needs. You’ll transform these processes and workflows into scalable solutions, partnering with our product and tech teams.
This role demands a hands-on approach to participant onboarding, verification, and quality management, as well as cross-functional collaboration to meet the needs of internal stakeholders and external clients.
- Serve as a key resource for client-specific AI delivery teams, acting as the primary point of contact for participant-related operations.
- Support bespoke client projects by managing participant onboarding, verification, and activation processes to meet deliverables.
- Identify and address gaps in participant supply, ensuring alignment with AI task requirements and quality standards.
- Develop detailed project plans, workflows, and enablement materials to support efficient delivery.
- Maintain Prolific’s participant pools as high-quality, diverse, and optimised to meet customer demands.
- Implement and manage verification processes for domain experts and AI taskers, ensuring their skills and qualifications meet client-specific requirements.
- Continuously optimise participant onboarding and activation funnels to enhance retention and task performance.
- Monitor participant engagement and quality metrics, using insights to drive improvements.
- Contribute to upskilling programmes and certification processes for participants involved in complex AI tasks.
- Work closely with product, data, science, and customer success teams to align operational priorities with strategic objectives.
- Collaborate with product managers to transform manual processes into scalable, technology-driven solutions.
- Act as a conduit between delivery teams and operational functions to ensure seamless project execution.
- Document and communicate operational changes to stakeholders across the business, ensuring smooth adoption.
- Experience in operations, ideally in marketplace or platform environments.
- Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced environment.
- Strong project management skills, with attention to detail and operational execution.
- Experience in implementing and optimising processes to improve efficiency and scalability.
- Proficiency in operational tools and systems such as Metabase, Zapier, Asana, and Hub Spot.
- Exceptional communication and documentation skills, with a track record of stakeholder enablement.
- Confidence with data analysis and operational metrics to support decision-making and continuous improvement.
- Familiarity with human data operations, product or data operations, participant recruitment, or managing global crowd sourcing/gig-economy platforms.
- Experience supporting AI/ML lifecycle projects, such as data labelling, annotation, or domain-specific task curation.
- Understanding of Prolific’s platform and its role in delivering high-quality human data for AI research.
We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviors into AI development.
By providing this…
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