AI Training Manager

Job Responsibilities:

• Conduct onboarding sessions for new annotators, ensuring full understanding of annotation tools, workflows, and rubrics.
  
• Design, update, and deliver training materials, SOPs, and reference guides aligned with project requirements.
  
• Lead refresher training and knowledge calibration sessions to address performance gaps or rubric updates.
  
• Develop assessment tests and evaluation forms to measure annotator readiness before production deployment.
  
• Regularly review annotation performance reports with QA and PM teams to identify training needs.
  
• Coach underperforming annotators through one-on-one sessions and targeted improvement plans.
  
• Track learning progress, document training outcomes, and maintain training compliance records.
  
• Collaborate with QA to analyze common error patterns and translate them into training interventions.
  
• Ensure annotators maintain KPIs (Accuracy 90%, Consistency 95%, Rejection Rate 10%).
  
• Participate in guideline calibration and contribute feedback to enhance annotation clarity and usability.
  
• Drive continuous improvement initiatives through training innovation and visual learning aids.
  
• Serve as the communication bridge between Project Management, Quality Assurance, and Operations.
  
• Support new project rollouts by preparing and certifying trainer-led readiness programs.
  
  

Job Requirements:

• Bachelors degree in STEM, Education, Data Science, Psychology, or Linguistics, or equivalent experience.
• 2 to 4 years of experience in training, quality assurance, or performance management within BPO, AI annotation, or data operations.
  
• Strong presentation, communication, and coaching skills.
  
• Proven ability to analyze performance data and implement structured training interventions.
  
• Familiarity with productivity monitoring tools and project management platforms (Airtable, Smartsheet, Jira, etc.).
  
  

Preferred:

• Experience working in AI data labeling, machine learning operations, or LLM annotation projects.
  
• Knowledge of quality assurance frameworks and process improvement methodologies.
  
• Certification in Six Sigma Green Belt, Kaizen, or Train-the-Trainer (TTT) is an advantage.
  
• Familiarity with data accuracy metrics and QA rubrics in AI or linguistic projects.

Job Reference: V6W5YYW8