Training And Quality Manager ( Technical /Tier 1/ Tier 2 Institute)

Experience :- 7yrs

Salary :- 35lpa

Location :- noida

Key Responsibilities

Technical Training & Capability Development

• Design and execute technical training programs for AI data and annotation teams.

• Develop training curricula, learning paths, assessments, certification programs, and refresher modules.

• Train teams on AI/ML concepts, LLMs, Generative AI, NLP, data annotation, data labeling, model evaluation, prompt engineering, RLHF, and AI response quality.

• Conduct Train-the-Trainer programs and build internal technical trainers.

• Identify skill gaps through assessments, production performance, and quality metrics and create targeted upskilling plans.

• Develop practical exercises, technical assessments, simulations, and certification frameworks.

Quality Management

• Own quality frameworks and standards across AI data projects.

• Define and monitor quality KPIs, accuracy, agreement rates, defect rates, audit scores, rework, and productivity.

• Establish quality calibration processes and conduct regular quality audits.

• Analyze quality trends and identify root causes of recurring defects.

• Partner with Operations and Program Managers to implement corrective and preventive actions.

• Drive continuous improvement initiatives to improve accuracy, consistency, productivity, and turnaround time.

AI Data & Technical Operations

• Provide technical guidance for projects involving:

o Data annotation and labeling

o LLM evaluation

o RLHF / human feedback

o Prompt-response evaluation

o NLP and text classification

o Image/video/audio annotation

o Generative AI evaluation

o Data validation and enrichment

o Model benchmarking and red teaming

• Understand project guidelines, client specifications, annotation taxonomies, and evaluation rubrics and translate them into effective training and quality programs.

• Work with SMEs and technical teams to resolve complex quality and interpretation issues.

Stakeholder Management

• Work closely with clients, Program Managers, Operations, Engineering, Data Science, and QA teams.

• Participate in client calibration sessions and quality reviews.

• Present quality dashboards, training effectiveness, RCA findings, and improvement plans to senior leadership.

• Support new project launches through training needs analysis, SOP development, quality framework creation, and readiness assessments.

Continuous Improvement

• Identify opportunities to improve training effectiveness, operational quality, and process efficiency.

• Use data and analytics to measure training ROI and quality improvement.

• Drive automation and technology adoption in training and quality processes.

• Standardize best practices across projects and delivery teams.

Required Skills & Experience

• 8–12 years of experience in AI/ML, data operations, data annotation, AI training, quality management, technical L&D, or related areas.

• Bachelor's/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 working with AI data / annotation / model evaluation projects.

• Experience managing training and quality teams in a high-volume delivery environment.

• Strong analytical and problem-solving skills.

• Experience with Root Cause Analysis, CAPA, calibration, quality audits and process improvement.

• Strong stakeholder and client management skills.

• Excellent communication, presentation, and facilitation skills.

• Ability to convert complex technical concepts into easy-to-understand training content.

Preferred Qualifications

• Certifications in AI/ML, Quality Management, Six Sigma, instructional design or technical training are preferred.

• Experience with AI platforms, annotation tools, LLM evaluation frameworks, or data-quality platforms.

• Exposure to Python, SQL, analytics/BI tools, or automation would be an advantage.

. Tier 1 institutes or tier 2 institutes