Head of Quality (AI)

TL;DR

Head of Quality (AI): Owning and scaling global quality systems for AI data, ensuring trustworthiness and precision across diverse human and model signals. Focus on defining global quality strategy, enforcing standards, and building scalable quality measurement systems for cutting-edge AI models.

Location: Remote (Globally distributed team). The company has a presence in the United Kingdom.

Company

hirify.global is a product company building human data infrastructure to provide high-quality, diverse data for training the next generation of AI models.

What you will do

• Set the global quality strategy across annotation, human feedback, model evaluation, red-teaming, and multilingual data.
• Define and enforce quality standards, acceptance criteria, and playbooks across project and pipeline types.
• Own the quality measurement system, including sampling strategies, agreement metrics, defect taxonomies, and drift detection.
• Lead a globally distributed quality organisation and design operating rhythms that work asynchronously across regions.
• Ensure quality is embedded from project kickoff through delivery, including audits, remediation loops, and root-cause analysis.
• Act as the senior quality partner for customers, clearly explaining methodology, results, risks, and improvement plans.

Requirements

• 8–12+ years of experience in quality, data operations, trust and safety, or ML evaluation, with 3+ years leading managers or senior leads.
• Proven experience running quality programs across globally distributed teams and multiple regions.
• Strong statistical intuition (sampling, agreement, bias/variance) and comfort working with quality data.
• Fluency with SQL and dashboards; working knowledge of Python or R for analysis or automation.
• Deep understanding of human-in-the-loop systems and how data quality impacts model behaviour.
• English: C1+ required for clear, confident communication with engineers and executives.

Nice to have

• Experience with multilingual or localisation-style QA.
• Background designing taxonomies or evaluation frameworks tied to model performance.
• Exposure to regulated or high-scrutiny environments where auditability matters.

Culture & Benefits

• Work in an impactful, mission-driven culture at the forefront of AI innovation.
• Enjoy competitive salary, equity, and benefits.
• Opportunity to earn a cash variable element, such as a bonus or commission.
• Work remotely within a globally distributed team.
• Access to a unique human data platform for groundbreaking research.