AI Data Quality Team Lead

Jobgether SRL; Italia; On-site; EUR 93,000 - 139,000; Full time

Benefits offered by this job

Equity opportunities

Medical coverage

401(k) plan

Job summary

Lever, Inc. is seeking a hands-on leader to build and scale a team of AI Tutors focused on labeling, reviewing, and evaluating visual data for advanced AI systems.

You will own quality and delivery, establish strong operational standards, and translate model requirements into data strategies. In this role you will coach a small team, drive KPIs, collaborate with data, engineering, and operations, and ensure guidelines are followed.

Qualifications

• Bachelor's degree or 4+ years of relevant professional experience.
• Experience with data quality metrics and guideline-driven processes.
• Familiarity with project management and collaboration tools.

Responsibilities

• Own end-to-end quality and delivery for assigned human data projects.
• Lead, coach, and performance-manage a team of AI Tutors.
• Actively participate in labeling and review activities to maintain quality standards.
• Manage guideline adherence, taxonomy processes, quality assurance workflows, and certification standards.
• Identify bottlenecks and implement improvements to increase efficiency, quality, and throughput.
• Track team and project performance through KPIs and dashboards.
• Develop and deliver training materials and certification benchmarks.
• Partner with Human Data Managers, other Team Leads, and Engineering to translate model requirements into labeling strategies.

Skills

Team leadership

Quality assurance

Data labeling

KPI tracking

Project management

Education

Bachelor's degree or 4+ years experience

Tools

Notion

JIRA

Linear

Axiom

Job description

Lever, Inc. is seeking a hands-on leader to build and scale a team of AI Tutors focused on labeling, reviewing, and evaluating visual data for advanced AI systems.

You will own quality and delivery, establish strong operational standards, and translate model requirements into data strategies. In this role you will coach a small team, drive KPIs, collaborate with data, engineering, and operations, and ensure guidelines are followed.