Quality Analyst, AI Business

<h1 style="text-align: center;"><span style="font-family: tahoma, arial, helvetica, sans-serif; color: rgb(126, 140, 141);"><strong>Quality Analyst, AI Business </strong></span></h1> <p style="text-align: center;"><span style="font-family: tahoma, arial, helvetica, sans-serif; color: rgb(126, 140, 141);"><strong>Team: Client Services</strong></span></p> <p style="text-align: center;"> </p> <p style="text-align: center;"><span style="font-family: tahoma, arial, helvetica, sans-serif; color: rgb(126, 140, 141);"><strong><em>Prolific</em></strong></span></p> <p><span style="font-family: tahoma, arial, helvetica, sans-serif;">Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.</span></p> <p style="text-align: center;"> </p> <p style="text-align: center;"><span style="font-family: tahoma, arial, helvetica, sans-serif; color: rgb(126, 140, 141);"><strong><em>The Role</em></strong></span></p> <p data-start="747" data-end="1123"><span style="font-family: tahoma, arial, helvetica, sans-serif;">As a Quality Analyst within Prolific AI Data Services, you will play a critical role in ensuring the consistency, reliability, and integrity of the human data we deliver to customers. As task types and volumes grow, quality can’t rely on spot checks or tribal knowledge—this role helps operationalise quality through measurement, early detection, and clear feedback loops.</span><br><span style="font-family: tahoma, arial, helvetica, sans-serif;">You’ll work closely with Operations, reviewers, and Quality and Delivery leads to run day-to-day quality measurement, surface issues early, and help turn fixes into repeatable workflows that scale across studies and customers.</span></p> <p style="text-align: center;"><span style="font-family: tahoma, arial, helvetica, sans-serif; color: rgb(126, 140, 141);"><strong><em>What You’ll Be Doing</em></strong></span></p> <ul> <li style="font-family: tahoma, arial, helvetica, sans-serif;" data-start="1385" data-end="1515"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Run day-to-day quality measurement for managed service studies, including sampling, rubric-based review, and structured reporting.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;" data-start="1518" data-end="1645"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Apply rubrics and guidelines consistently, flag ambiguities, and propose clear, actionable clarifications as task types evolve.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;" data-start="1648" data-end="1782"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Maintain and update golden sets, and support calibration efforts by preparing materials, tracking outcomes, and documenting decisions.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;" data-start="1785" data-end="1899"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Track defects and failure modes by categorising issues, assessing severity, and keeping defect taxonomies current.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;" data-start="1902" data-end="2072"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Run automated quality checks using SQL and Python or R, including completeness checks, schema and format validation, anomaly detection, and label distribution monitoring.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;" data-start="2075" data-end="2210"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Support la ... (truncated, view full listing at source)