Remote AI Data Training & Quality Leader

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

Benefits offered by this job

Flexible work arrangements

Remote or onsite options

Job summary

Innodata Inc. in the Philippines seeks a Technical Training and Quality Manager - AI Data to lead training design and QA programs for AI data annotation teams, bridging ML/AI requirements with operations.

You will own guidelines, develop curricula, calibrate QA, and collaborate with ML engineers, linguists, and PMs to ensure high-quality data and scalable training across sites. Ideal candidates combine 7+ years in training/QA, Lean Six Sigma, and a deep understanding of AI data lifecycle, with

Qualifications

• Bachelor's degree in Computer Science, Linguistics, Education, or related field.
• 7+ years in training, QA, or ops in AI data annotation or similar.
• Lean Six Sigma Green Belt certification.
• Strong understanding of AI/ML data lifecycle (labeling, annotation, RLHF, evaluation).
• Experience designing curricula and QA frameworks for high-volume operations.
• Excellent communication and stakeholder management skills.
• Analytical mindset using quality data to drive decisions.

Responsibilities

• Design, develop, and deliver technical training for annotators, reviewers, and QA staff.
• Create onboarding curricula, manuals, and certifications for new hires.
• Update training content with evolving guidelines and tooling changes.
• Conduct train-the-trainer sessions across shifts/sites/regions.
• Track training effectiveness through assessments and pilot tests.
• Define and maintain quality rubrics and scoring guidelines.
• Design and implement QA frameworks (sampling plans, audits, calibration sessions, inter-annotator agreement checks).
• Monitor quality metrics and drive root-cause analysis for defects/errors.
• Partner with data scientists/ML engineers to translate model feedback into improvements.
• Lead calibration sessions to align annotators/reviewers on edge cases.
• Own guideline documents, SOPs, and knowledge bases for each project/task type.
• Identify gaps in guidelines and drive clarification with stakeholders.
• Build feedback loops between quality findings and training content updates.
• Standardize quality and training processes across multiple projects/programs.
• Work with PMs, ML engineers, linguists, and operations teams.
• Report on training completion, quality trends, and risk areas to leadership.
• Advise on staffing/skill requirements based on task complexity.

Skills

Training design

Quality assurance

Stakeholder management

Communication

Facilitation

Analytical thinking

Education

Bachelor's degree in Computer Science / Linguistics / Education

Lean Six Sigma Green Belt

Tools

AI/ML labeling tools

QA tooling

Job description

Innodata Inc. in the Philippines seeks a Technical Training and Quality Manager - AI Data to lead training design and QA programs for AI data annotation teams, bridging ML/AI requirements with operations.

You will own guidelines, develop curricula, calibrate QA, and collaborate with ML engineers, linguists, and PMs to ensure high-quality data and scalable training across sites. Ideal candidates combine 7+ years in training/QA, Lean Six Sigma, and a deep understanding of AI data lifecycle, with