Technical AI Quality Coordinator

Posted 2hrs ago

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Job Description

Technical AI Quality Coordinator improving AI data quality for RWS’s global content and language services. Automating checks, building testing frameworks, and monitoring annotation and model-evaluation pipelines.

Responsibilities:

  • Support quality assurance across AI data projects by improving processes, automating quality checks, and monitoring data accuracy
  • Develop and maintain testing frameworks, evaluation datasets, and quality metrics
  • Investigate quality issues, identify root causes, and implement corrective actions
  • Establish and maintain quality standards, frameworks, and auditing processes across projects
  • Monitor contributor and team performance and provide insights and recommendations
  • Partner with Data Engineering, AI Engineering, and Solutions teams to embed quality controls and reporting into workflows
  • Track quality and performance metrics, identify risks, and support continuous improvement initiatives
  • Stay informed on AI industry trends and contribute ideas to enhance quality programs and best practices

Requirements:

  • 3+ years of experience in Quality Assurance, Data Quality, or AI Operations
  • Working knowledge of Python and SQL for data analysis, reporting, and automation
  • Experience supporting AI/ML data projects, including data annotation, evaluation, or training data programs
  • Strong analytical skills to identify quality issues, trends, and improvement opportunities
  • Excellent English communication skills
  • Experience collaborating with global, cross-functional teams
  • Degree in Data Analytics, Computer Science, Statistics, Linguistics, Psychology, or a related field (nice to have)
  • Experience with Power BI, Tableau, or Looker (nice to have)
  • Familiarity with remote or crowdsourced workforce management (nice to have)

Benefits:

  • Equal Opportunity Employer
  • Work environment free of discrimination and harassment
  • Opportunities for employees to grow as individuals and excel in their careers
  • Inclusive workplace valuing diversity and different languages and cultures