Senior Human Data Operations Partner, Research
New
P
ProlificAI Data Infrastructure
Location: United KingdomFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- Project ManagementData AnalysisStakeholder managementHubSpotAsana
Requirements
- 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 HubSpot.
- 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 crowdsourcing/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.
Responsibilities
- Serve as a key resource for client-specific Research customer teams, acting as the primary point of contact for participant-related operations.
- Support bespoke client projects by managing participant acquisition, onboarding, verification, and activation processes to meet deliverables.
- Partner with the Head of Human Data Operations to address gaps in participant supply, ensuring alignment with customer 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.
- 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 Research tasks.
- Collaborate with product managers to transform manual processes into scalable, technology-driven solutions.
- Develop playbooks and documentation that turn reactive customer requests into repeatable operational capabilities.
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