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Training and Quality Manager

1 month ago

Noida Uttar Pradesh India, Ghaziabad Innodata Inc. Full time

The Training & Quality Manager – AI/LLM Practice will lead global training and quality initiatives for AI/LLM projects, ensuring operational excellence, consistency, and compliance. The role focuses on building scalable training frameworks, standardizing quality processes, and driving continuous improvement across global teams. You’ll collaborate with cross-functional and client stakeholders to strengthen delivery performance and enhance overall project quality in alignment with AI/LLM goals.


Key Responsibilities

  • Lead global training and quality programs for AI/LLM projects ensuring consistency, accuracy, and compliance.
  • Design and implement scalable training frameworks, assessments, and certification programs.
  • Monitor performance metrics, identify skill gaps, and drive targeted upskilling initiatives.
  • Establish and enforce quality standards and continuous improvement processes across teams.
  • Conduct audits, calibrations, and root cause analyses to maintain excellence in delivery.
  • Partner with operations and client teams to align training and quality strategies with business goals.
  • Drive change management, governance, and cross-functional collaboration across global sites.


Requirements:

  • Bachelor’s degree required (Computer Science, IT, Engineering, Linguistics, or related field preferred).
  • 5+ years of experience in training leadership and quality management within AI, LLM, tech operations, or a process-driven environment.
  • Strong understanding of AI/LLM concepts, model training processes, and data-driven decision-making.
  • Proven track record of leading cross-functional, multicultural teams in a fast-paced global setup.
  • Excellent English communication, presentation, and stakeholder management skills.
  • Analytical mindset with the ability to design and monitor performance dashboards and quality metrics.
  • Demonstrated problem-solving, innovation, and change management capabilities.


Good to Have:

  • Knowledge of process improvement methodologies (Six Sigma, Lean, Kaizen).
  • Experience working with AI model evaluation, policy compliance, or linguistic quality frameworks.
  • Exposure to client-facing roles in AI or technology projects.
  • Strong people leadership and mentoring skills.