Argos is hiring a Head of Quality, AI Data Services to lead quality strategy and execution for our growing Data Services.
This role will own the quality framework across AI data, multilingual AI, speech and audio, expert review, data quality, model improvement workflows, and related technical services. The Head of Quality will define how quality is measured, governed, reported, and improved across customer programs.
The ideal candidate is a hands-on quality leader who can build scalable processes while also engaging directly with teams and customers on complex quality topics.
Responsibilities
- 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.
Qualifications
Education, skills, and experience
- 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.
- Experience with dashboards, QA tooling, workflow platforms, or operational reporting.
Success in This Role
- Clear quality standards and governance across AI Data Services.
- Reduced rework and stronger delivery consistency.
- Better customer-facing quality reporting and escalation management.
- Stronger calibration, reviewer guidance, and QA documentation.
- Improved alignment between Quality, Operations, Program Management, Supply Chain, and Solutions.
- A scalable quality foundation that supports Data Services growth.
Please check our Privacy Policy to find out more about who is administrator of your personal data after application, purposes and your rights.
