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Research Consultant (AI)

Posted 2024-10-21

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💎 Seniority level: Senior, Extensive experience

📍 Location: UK

💸 Salary: 70000 GBP per year

🔍 Industry: AI

🏢 Company: Prolific

🗣️ Languages: English

⏳ Experience: Extensive experience

🪄 Skills: LeadershipPythonArtificial IntelligenceData AnalysisMachine LearningNumpyCross-functional Team LeadershipData analysisCommunication SkillsAnalytical SkillsCollaboration

Requirements:
  • Extensive experience in designing and executing qualitative and quantitative research projects and an in-depth knowledge of various research methodologies.
  • Proficient in survey tools such as Qualtrics and a solid understanding of common programming languages used in AI, such as Python and R.
  • Experience working with clients in the AI space focused on foundational model building & training.
  • Proven track record of leading complex client research projects end-to-end with an emphasis on client communication and relationship management.
  • Ability to excel in a project-based environment, effectively juggling multiple projects & priorities.
  • Optimistic self-starter able to partner with stakeholders across the business.
  • Experience with advanced human-AI interaction techniques, particularly RLHF and other human-in-the-loop learning methods.
  • Expertise in designing or implementing data quality measurement systems for human-generated data.
  • Deep understanding of frontier models and their human data requirements.
  • Ideally a Ph.D. or Master's degree in Computer Science, Machine Learning, AI, Human-Computer Interaction, or a related field.
Responsibilities:
  • Work with clients to create tasks and experiments that ensure high-quality data collection and enhance participant experience, focusing on effective human-AI interaction.
  • Partner with the Sciences team and panel management team to develop and deliver training for taskers, ensuring readiness for client-specific experiments and maintaining quality standards.
  • Lead research projects with strong client communication, managing relationships, and ensuring client satisfaction throughout the project lifecycle.
  • Coordinate with engineering and product teams to translate research insights into scalable AI solutions that address client needs and improve human-AI interaction.
  • Work with sales and marketing teams to identify growth opportunities, enhance client acquisition, and strengthen retention across customer segments.
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