[Hiring] Senior Manager - Data Quality and Evaluation @L10n People Ltd

Role Description

The Senior Manager, Data Quality helps build the quality engine behind Our Client’s AI Data Services business. In this role, you will:

• Define how we evaluate, calibrate, measure, and scale high-quality human data programs for leading AI companies.
• Design quality frameworks for data collection, annotation, evaluation, review, calibration, adjudication, and customer reporting.
• Collaborate closely with Program Management, Supply Chain, Solutions, Sales, and customer-facing teams to turn customer requirements into clear, scalable quality workflows.
• Ensure that every program has the right evaluation methodology, task instructions, reviewer calibration, sampling approach, escalation process, and performance reporting in place.

This is a high-impact role for someone who enjoys building systems, improving quality, working cross-functionally, and operating in a fast-moving AI services environment.

Qualifications

• 5+ years of experience in quality operations, data operations, AI data services, localization quality, annotation quality, evaluation operations, trust and safety quality, or a related field.
• Experience managing quality programs for complex customer accounts or high-volume operational delivery.
• Strong understanding of QA methodologies, calibration, sampling, adjudication, error analysis, and performance reporting.
• Experience working cross-functionally with delivery, operations, supply chain, sales, and customer-facing teams.
• Strong analytical skills and the ability to turn quality data into clear operational improvements.
• Excellent written and verbal communication skills, including the ability to communicate quality issues clearly to customers and senior stakeholders.
• Comfort operating in fast-moving, ambiguous environments where processes are still being built.
• Strong people leadership skills with experience coaching quality specialists, reviewers, annotators, or operational teams.

Requirements

• Experience with AI data, RLHF, model evaluation, LLM evaluation, speech/audio evaluation, transcription, coding evaluation, multilingual evaluation, or expert review programs.
• Experience designing rubrics, annotation guidelines, evaluation instructions, reviewer training, calibration workflows, or quality scorecards.
• Experience supporting AI labs, enterprise AI teams, research teams, or technical customers.
• Familiarity with human-in-the-loop data workflows, annotation platforms, QA tooling, dashboards, and data labeling operations.
• Experience working with expert contributors, linguists, annotators, domain specialists, technical reviewers, or distributed talent networks.
• Knowledge of multilingual evaluation, speech/audio QA, cultural appropriateness, or language-specific quality risks.

Company Description

Our Client is a global language, data, and AI services company helping leading organizations build, evaluate, and improve AI systems.

• Their Data Services team partners with AI labs, technology companies, and enterprise AI teams on complex human data programs.
• Focus on quality, scalability, operational excellence, and customer trust.