TL;DR

Lead Quality Manager (Generative AI Data Quality): Owns and executes program-level quality strategy for high-volume initiatives, aligning team performance with organizational goals and ensuring process optimization. Focus on defining quality goals, managing a team of analysts and coordinators, and standardizing SOPs/rubrics for AI data quality.

Location: Remote (Mexico)

Company

Welo Data, a %hirify_global% brand, provides high-quality, ethically sourced datasets and services to technology companies for their AI models.

What you will do

Set program quality goals, roadmap, and operating rhythms.
Manage and coach a team of Analysts and Coordinators.
Co-own client governance, scope, and priorities.
Standardize SOPs/rubrics and oversee training/certification.
Define core dashboards/metrics and drive actions for quality.
Champion compliance, privacy, and security for audit readiness.

Requirements

Bachelor’s degree or equivalent in Business, Operations, Quality, or Data/Engineering.
3–5 years in quality/operations and 3–5 years managing teams or multi-workstreams.
Strong program planning and portfolio governance skills.
Experience with people leadership (goals, coaching, delegation, feedback).
Senior client communication and negotiation skills.
Expertise in quality systems (SOPs, QA gates, acceptance criteria) and compliance.

Nice to have

SQL/ETL familiarity.

Culture & Benefits

Work with practical, applied AI expertise and state-of-the-art AI tools.
Collaborate with a global community of 500,000 AI training and domain experts.
Opportunity to elevate clients' data quality.
Leverage 25 years of company experience in innovative partnerships.

Hiring process

AI tools may support parts of the hiring process, but human judgment makes final decisions.