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Technical Training & Quality Manager

1 month ago
United States
Full-time
Lead
Manual QA Tester
Quality Assurance and Testing
Generative AI Machine Learning Python SQL
Apply Now
Innodata

Innodata

Innodata Inc. is a global leader in data engineering, offering end-to-end AI solutions and platforms for businesses worldwide, combining AI and human expertise to solve complex data challenges.

IT Services
1K-5K
Founded 1988
View All Jobs 19

Description

  • Design and deliver technical training programs, curricula, assessments, certifications, and refresher modules for AI data teams.
  • Train teams on AI/ML, LLMs, Generative AI, NLP, annotation, model evaluation, prompt engineering, RLHF, and AI response quality.
  • Build internal technical trainers through Train-the-Trainer programs and targeted upskilling plans.
  • Own quality frameworks, standards, KPIs, calibration processes, and audits across AI data projects.
  • Analyze quality trends, identify root causes, and implement corrective and preventive actions with Operations and Program Management.
  • Provide technical guidance for annotation, LLM evaluation, RLHF, multimodal annotation, benchmarking, red teaming, and data enrichment projects.
  • Collaborate with clients, Engineering, Data Science, Operations, Program Management, and QA teams on calibrations, quality reviews, and project launches.
  • Present quality dashboards, training effectiveness, root-cause findings, and improvement plans to senior leadership.
  • Drive process standardization, automation, technology adoption, and continuous improvement across delivery teams.

Requirements

  • 8–12 years of experience in AI/ML, data operations, data annotation, AI training, quality management, technical learning and development, or related areas.
  • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, AI/ML, Statistics, or a related field.
  • Strong understanding of artificial intelligence, machine learning, Generative AI, and LLMs.
  • Experience with AI data, annotation, or model evaluation projects.
  • Experience managing training and quality teams in a high-volume delivery environment.
  • Experience with root-cause analysis, CAPA, calibration, quality audits, and process improvement.
  • Strong analytical, problem-solving, stakeholder management, and client management skills.
  • Excellent communication, presentation, facilitation, and technical content development abilities.
  • Experience with AI platforms, annotation tools, LLM evaluation frameworks, or data-quality platforms.
  • AI/ML, quality management, Six Sigma, instructional design, or technical training certifications preferred; Python, SQL, analytics/BI, or automation experience advantageous.

Benefits

  • Annual salary range of $145,000–$175,000, based on experience, skills, and qualifications.

Interested in this position?

Apply directly on the company website

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