Training & Quality Manager (TQM)

Innodata (NASDAQ: INOD) is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (MLAI) technologies, a global workforce of subject matter experts, and a high[1]security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easytouse, highquality platforms. Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, Philippines, India, Sri Lanka, Israel, and Germany. Interested in joining us?

About the Role

In this role, you will:

• Serve as a key partner in enhancing the knowledge, skills, and output quality of global data teams.

• • Lead initiatives that ensure workforce readiness through effective training design, delivery, and continuous quality monitoring.

  • • Develop and enforce quality assurance standards across projects, with equal focus on training effectiveness and operational performance.

    • Key Responsibilities

      Training Design & Delivery

      • Design, implement, and evaluate onboarding and continuous training programs for data professionals and project teams.

      • • Develop structured training curricula, lesson plans, and elearning modules tailored to operational workflows and data standards.

        • • Facilitate live and virtual training sessions to upskill employees in key areas such as data annotation, ML workflows, accuracy, and compliance.

          • • Conduct regular training needs assessments and work closely with department heads to close skill gaps.

            • Quality Assurance & Improvement

              • Implement quality assurance frameworks that ensure data accuracy, consistency, and compliance across global teams.

              • • Develop, maintain, and analyze quality performance dashboards using tools like Excel, Google Sheets, SQL, Power BI, or Looker; track key metrics such as accuracy, interannotator agreement, error rates, timetocorrection, and rejection rates across projects to drive datadriven insights and continuous improvement.

                • • Monitor key quality metrics, conduct audits, and lead root cause analysis to drive continuous improvement.

                  • • Create feedback loops between QA and training teams to ensure alignment of learning content with performance needs.

                    • • Develop and lead calibration sessions to align quality standards across reviewers and departments.

                      • Collaboration & Reporting

                        • Partner with operations, product, and data governance teams to maintain alignment on quality benchmarks.

                        • • Regularly report on training effectiveness, learner outcomes, and quality trends to leadership.

                          • • Contribute to the evolution of tools, platforms, and processes that support highquality data delivery.