Data Quality Engineer, AI Business
Prolific (22 days ago)
About this role
The Data Quality Engineer at Prolific AI Data Services serves as the quality guardian for managed service studies, ensuring the data delivered is trustworthy, authentic, and scalable. The role sits at the intersection of data quality, automation, and integrity and works closely with Product, Engineering, Operations, and Client teams. It focuses on embedding quality and authenticity into study design and execution while supporting reliable, faster launches.
Required Skills
- Quality Design
- Measurement Systems
- Automation
- Python
- SQL
- Sampling
- Statistical Analysis
- Anomaly Detection
- Schema Validation
- Completeness Checks
+9 more
About Prolific
prolific.comProlific is an online participant recruitment platform that helps researchers, AI developers, and organizations collect high‑quality human data for surveys, experiments, and user research. It provides a global, pre‑screened pool of participants with advanced targeting and prescreening filters, transparent participant pay, and workflows designed to maximize data quality and reproducibility. Prolific supports academic and commercial projects, integrates with common research tools, and offers fast turnaround with clear consent and ethical research practices.