Field Research Engineer

• Serve as Prolific's technical research partner on customer engagements with AI labs and enterprise AI teams
• Advise and prototype bespoke solutions like evaluation methodology, rubric design, data collection approaches, quality frameworks, verifiers and validation frameworks, as well as RL environments
• Own methodology for projects - from scoping through delivery - working alongside our services team
• Build trusted relationships with customer research and engineering teams
• Surface patterns from customer work that should become platform capabilities, partnering with Product and Engineering to shape roadmap priorities
• Work with Services and Account teams to qualify opportunities and shape proposals
• Share learnings across the Research Engineering function to strengthen our collective expertise
• Contribute to Prolific's research publications and external collaborations as opportunities arise
• Collaborate with product teams to translate research insights into practical applications
• Mentor team members on advanced AI concepts and emerging research
• Communicate complex technical concepts to diverse stakeholders

• 3+ years of experience in AI/ML research, research engineering, or applied ML
• Strong knowledge of LLM evaluation methodologies, data collection design, and human feedback approaches
• Experience designing AI-assisted or model-in-the-loop workflows
• Track record of executing research or applied AI/ML projects with clear outcomes
• Can build quickly when needed - comfortable prototyping solutions and building own tooling
• Strong communicator across contexts
• Based in US, Canada, or Mexico (or able to work US timezone hours)

Prior customer-facing or consulting experience

• competitive salary
• benefits
• remote working
• equity
• opportunity to earn a cash variable element, such as a bonus or commission