Head of Quality, AI Data Services – Americas, EMEA

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Argos Multilingual

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Argos Multilingual is a global language-services provider that delivers translation, localization, and multilingual content solutions combining human expertise with AI-first technology. The company offers translation and localization, multimedia services, language quality evaluation and ownership programs, content and linguistic asset management, and AI/LLM data solutions (data collection, annotation, evaluation, RLHF, and custom machine translation) through its MosAIQ suite of enterprise tools. Argos serves B2B customers across regulated and technical sectors—life sciences, medical/healthcare, technology, finance, manufacturing, and retail—focusing on accuracy, compliance, and scalable AI-enabled workflows.

📋 Description

• Own the quality strategy, operating model, and execution plan for AI Data Services. • Build and standardize QA frameworks, audit models, scorecards, sampling approaches, and acceptance criteria. • Define critical, major, and minor error classifications across different data workflows. • Lead quality governance for strategic customer programs, including reporting, calibration, escalations, and remediation. • Partner with Operations, Program Management, Supply Chain, Solutions, and Sales to ensure quality requirements are clearly understood and operationally feasible. • Develop root cause analysis, corrective action, and continuous improvement processes. • Build quality dashboards, customer-facing reporting, and internal quality performance views. • Support the creation of SOPs, reviewer guidelines, calibration materials, and QA documentation. • Help improve delivery consistency, reduce rework, and strengthen customer confidence. • Mentor and guide QA managers, auditors, reviewers, and quality specialists as the team scales.

🎯 Requirements

• Senior quality leadership experience in AI data, transcription, data annotation, model evaluation, technical services, BPO, or managed services. • Experience designing and operating QA frameworks for complex human-in-the-loop workflows. • Strong understanding of quality scoring, audit design, sampling, calibration, and remediation. • Experience working with customer-facing teams and supporting quality escalations. • Strong analytical, operational, and communication skills. • Ability to translate customer quality expectations into practical internal processes. • Experience partnering across Operations, Program Management, Supply Chain, Solutions, and leadership teams. • Strong documentation and process-building skills. • Nice to have: Experience with AI data services, LLM evaluation, RLHF, expert review, multilingual AI, speech/audio AI, transcription QA, or data quality. • Experience managing quality for strategic enterprise or frontier AI customers. • Experience building quality functions in a scaling or developing business unit.

🏖️ Benefits

• Professional development opportunities • Flexible work arrangements