Data Quality Engineer, AI Business

Prolific
Any Location, AR
Remote
Job Description
Data Quality Engineer, AI Business role at Prolific, designing and operationalizing measurement systems, automation, and launch gates to ensure trustworthy and authentic data delivery. The role sits at the intersection of data quality, automation, and integrity, working closely with Product, Engineering, Operations, and Client teams.

Requirements

  • 5+ years of experience in quality engineering, data or annotation quality, analytics engineering, trust and integrity, or ML/LLM evaluation operations.
  • Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence levels, and agreement metrics.
  • Proven track record of turning ambiguous or messy quality problems into clear metrics, automated checks, and durable process improvements.
  • Strong quality systems thinking, with the ability to translate complex edge cases into clear rules, tests, rubrics, and governance mechanisms.
  • Hands-on experience instrumenting workflows and implementing pragmatic automation that catches quality and integrity issues early.
  • Demonstrated ability to influence cross-functional teams (Product, Engineering, Operations, Client teams) and drive change without direct authority.
  • Strong customer empathy, with a clear understanding of what ‘useful, trustworthy data’ means for research, AI training, and evaluation use cases.

Benefits

  • Competitive salary
  • Benefits
  • Remote working
  • Mission-driven culture
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