Technical Training & Quality Manager

Job not on LinkedIn

🕒 September 12

🇺🇸 United States – Remote

💵 $145k - $175k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👔 Manager

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• 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 and create targeted upskilling plans • Develop practical exercises, technical assessments, simulations, and certification frameworks • 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, identify root causes, and implement corrective and preventive actions • Drive continuous improvement to improve accuracy, consistency, productivity, and turnaround time • Provide technical guidance for data annotation, LLM evaluation, RLHF, prompt-response evaluation, NLP, multimedia annotation, Generative AI evaluation, data validation, model benchmarking, and red teaming projects • Translate project guidelines, client specifications, annotation taxonomies, and evaluation rubrics into training and quality programs • Work with SMEs and technical teams to resolve complex quality and interpretation issues • Collaborate 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 • Measure training ROI and quality improvement using data and analytics • Drive automation and technology adoption in training and quality processes • Standardize best practices across projects and delivery teams

🎯 Requirements

• 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 • 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