AI Data Training & Quality Lead (Remote-Friendly)

Innodata Inc.; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Innodata Inc. is seeking a Technical Training and Quality Manager - AI Data to lead training design and quality assurance for AI data annotation projects. You will bridge technical requirements from ML/AI teams with operational execution by annotators and QA staff.

You will design curricula, establish QA frameworks, and drive continuous improvement across multiple projects, collaborating with data scientists, engineers, linguists, and operations to ensure high-quality data pipelines.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.
• 7+ years in training, QA, or operations management within AI/ML data annotation or related services.
• Lean Six Sigma Green Belt certification.
• Strong communication and stakeholder management skills.
• Experience designing training curricula and QA frameworks for high-volume operations.

Responsibilities

• Design, develop, and deliver technical training for annotators, reviewers, and QA staff on AI data labeling tools and guidelines.
• Create onboarding curricula, manuals, and certification programs for new hires.
• Track training effectiveness through assessments and performance data.
• Define and maintain quality standards, rubrics, and scoring guidelines for data tasks.
• Design QA frameworks and monitor quality metrics to drive improvements.
• Collaborate with ML engineers to translate model feedback into quality improvements.
• Own guideline documents, SOPs, and knowledge bases across projects.
• Coordinate with Project Managers, ML Engineers, Linguists, and Operations teams.

Skills

Excellent communication

Facilitation

Stakeholder management

Analytical mindset

Training design

Education

Bachelor's degree in CS/Linguistics/Education or related

Lean Six Sigma Green Belt certification

Job description

Innodata Inc. is seeking a Technical Training and Quality Manager - AI Data to lead training design and quality assurance for AI data annotation projects. You will bridge technical requirements from ML/AI teams with operational execution by annotators and QA staff.

You will design curricula, establish QA frameworks, and drive continuous improvement across multiple projects, collaborating with data scientists, engineers, linguists, and operations to ensure high-quality data pipelines.