Data Quality Specialist (AI)

TL;DR

Data Quality Specialist (AI): Establishing and maintaining quality frameworks for generative AI and LLM data services with an accent on quality metrics and workflow optimization. Focus on analyzing data trends, conducting root cause analysis, and developing prescriptive actions to improve model output quality.

Location: London, GBR

Company

hirify.global is a global technology leader investing in generative AI and the responsible deployment of large language models across its business ecosystem.

What you will do

• Define and implement quality metrics and KPIs for established AI data workflows.
• Partner with customers and internal teams to optimize workflow quality and resolve escalations.
• Analyze data trends and conduct side-by-side evaluations to identify opportunities for enhancement.
• Develop prescriptive actions and solutions for identified quality issues using root cause analysis.
• Monitor quality performance and provide coaching to operations teams.
• Create and maintain process documentation, SOPs, and quality guidelines.

Requirements

• Fluency in German (C1+ or equivalent CEFR) in speaking, writing, and reading.
• Intermediate English proficiency (B2+ or equivalent CEFR).
• 1+ years of experience in quality assurance, quality control, or data quality roles.
• Proven experience in defining, tracking, and reporting quality metrics or KPIs.
• Strong analytical skills with the ability to identify patterns and root causes in data.
• Ability to create structured process documentation and SOPs.

Nice to have

• Bachelor's degree in Linguistics, Data Science, Business, or a related field.
• Experience with structured quality methodologies like Six Sigma, DMAIC, or Fishbone analysis.
• Experience in machine learning data operations, annotation quality, or content review.
• Proficiency in data analysis tools such as SQL, Excel, or BI tools.
• Experience coaching operations or associate-level teams.

Culture & Benefits

• Inclusive culture that empowers employees to deliver high-impact results.
• Commitment to diversity, equity, and equal opportunity employment.
• Environment focused on invention, simplification, and building the future of human-technology interaction.