P

Prolific

Platform matching researchers with study participants

Human Data Quality Engineer

Full-TimeUpdated on 10/14/2026
No salary listed
Senior
Remote in Mexico
Remote
Data & AnalyticsData Management

About the job

Requirements
  • At least five years of experience building quality, evaluation, or annotation systems in AI, machine learning, large language model, or human data environments.
  • Strong Python and SQL skills.
  • A solid understanding of machine learning pipelines and how human data affects model performance.
  • Strong analytical and statistical thinking, with experience designing scalable quality frameworks.
  • The ability to interact credibly with stakeholders at frontier AI laboratories and act as a partner.
  • The ability to influence and guide client-side and internal stakeholders at every level.
  • The ability to translate data analysis and quality methodologies into requirements that product and engineering teams can implement in systems.
  • The ability to explain data analysis and findings clearly to non-technical stakeholders so they can act on them.
  • A proactive builder’s mindset, including comfort creating new systems, navigating ambiguity, and improving processes.
Responsibilities
  • Design quality frameworks for complex human data programs, including evaluation rubrics and launch readiness.
  • Work with clients as a strategic thought partner, challenging annotation schemas and data requirements when they will not produce the signal the model needs.
  • Advise on project design and how schema choices affect data quality.
  • Build quality upstream across operational workflows, including recruitment, screening, training, guideline writing, and calibration sessions.
  • Build scalable quality systems, measurement frameworks, and automated checks using Python and SQL.
  • Partner with product and engineering to build quality infrastructure that delivers high-quality human data at scale.
  • Investigate data quality and integrity issues, identify root causes, and turn insights into scalable improvements.
  • Architect and build dashboards, monitoring, and reporting that provide visibility into quality and operational performance.
  • Raise quality capability across the company by upskilling operations and mentoring junior analysts.
  • Help define the company’s approach to quality across new AI domains and shape best practices as the team grows.
Desired Qualifications
  • Experience with large language model evaluation, reinforcement learning from human feedback, AI safety, or red teaming.
  • Experience translating vague model or evaluation goals into clear annotation specifications.
  • Experience working with human annotation programs or human data operations.
  • Familiarity with calibration, inter-rater agreement, drift detection, or other evaluation methodologies.

About the company

Prolific operates an online research platform that connects researchers with a global pool of vetted participants. Researchers post studies and set demographic criteria to recruit eligible participants, who complete surveys and other research tasks to earn compensation. The platform uses a reputation-based system to ensure data quality from both researchers and participants. Clients include academic institutions, businesses, and individual researchers, making Prolific a centralized marketplace for human data in online research. The business model charges researchers a commission for each study conducted on the platform, covering participant recruitment, study management, and platform upkeep. Overall, Prolific aims to provide a reliable, efficient way to collect high-quality data for research and market insights.

Company Size

1,001-5,000

Company Stage

Series A

Total Funding

$33.3M

Headquarters

London, United Kingdom

Founded

2014

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What believers are saying

  • Prolific reported 380,000 studies and tasks in 2025, plus 8 million participant hours.
  • Its March 2025 AI Task Builder and tasker pool expanded demand beyond academia.
  • Prolific claims 300,000+ active participants and a million-person waitlist, supporting fast fulfillment.

What critics are saying

  • Toloka raised $72 million in May 2025, intensifying competition for AI evaluation budgets.
  • Prolific flagged 0.99% of participants for AI-generated responses in September 2025, showing fraud pressure.
  • If frontier labs build captive panels by 2027, Prolific loses its core network advantage.

What makes Prolific unique

  • Prolific offers 300,000+ verified participants across 80+ languages, with 40+ Protocol checks.
  • Its self-serve API and transparent pricing beat managed-service black boxes for researchers.
  • HUMAINE, launched December 2025, turns real-person AI evaluation into a proprietary benchmarking layer.

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Benefits

  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

9%

1 year growth

1%

2 year growth

0%
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