Head of Quality

Reinforced Learning

Town of Tonawanda (NY)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Reinforced Learning seeks a senior quality leader to own data and product quality across our programs. You will establish standards, supervise a team of senior reviewers and quality analysts, and ensure integrity of metrics such as error rates, agreement, escape rates, and customer findings.

You will decide what ships and what goes back, collaborate on review tooling with platform teams, and calibrate graders with research to maintain rigorous quality controls in fast-paced environments.

Qualifications

  • Senior experience running quality, audit or review functions for technical or data products.
  • A review process you built that scaled and stayed rigorous.
  • Enough technical fluency to review code and data yourself.
  • Direct, clear and unmoved by deadline pressure.

Responsibilities

  • Quality standards and review protocols across domains.
  • A team of senior reviewers and quality analysts, built and led.
  • Quality metrics and their honesty: error rates, agreement, escape rates, customer findings.
  • The decision on what ships and what goes back.
  • Review tooling with platform, and grader calibration with research.

Job description

The role

Our pitch is that the data is correct. You'll own that claim across every program: the standards, the review process, the measurement, the people, and the point at which a delivery is refused.

What you'll own
  • Quality standards and review protocols across domains.
  • A team of senior reviewers and quality analysts, built and led.
  • Quality metrics and their honesty: error rates, agreement, escape rates, customer findings.
  • The decision on what ships and what goes back.
  • Review tooling with platform, and grader calibration with research.
What you bring
  • Senior experience running quality, audit or review functions for technical or data products.
  • A review process you built that scaled and stayed rigorous.
  • Enough technical fluency to review code and data yourself.
  • Direct, clear and unmoved by deadline pressure.
Helpful, not required
  • Annotation or training data quality.
  • A regulated or audited environment.
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