AI DataOps Lead — Hands-on Team Leadership

Lever, Inc.; México; Hybrid; MXN 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive compensation

Equity participation

Medical, dental, and vision coverage

Disability and life insurance

Paid sick leave

Flexible remote-work opportunities

Professional development

Job summary

Lever, Inc. in Mexico is seeking an Expert Team Lead, SWE to lead a hands-on, high-performance team that builds and maintains high-quality human-generated data for AI model development.

The role combines people leadership, data quality, and software engineering excellence, translating model requirements into effective data strategies. You will own end-to-end quality, review technical work, and drive improvements, while fostering a culture of continuous learning and operational excellence across

Qualifications

• 1+ years hands-on experience in data labeling, annotation, AI training or evaluation.
• Professional experience building or contributing to scalable, high-performance technology applications.
• Demonstrated understanding of data quality metrics, annotation workflows, guideline-driven processes, and quality assurance practices.
• Basic knowledge of artificial intelligence and machine learning concepts, including how high-quality training and evaluation data influences model performance.
• Experience with people management, coaching, training-program development, performance management, or certification frameworks.
• Previous experience leading small teams in data labeling, annotation, technical operations, or related environments is strongly preferred.
• Ability to manage multiple projects simultaneously, prioritize effectively, and operate in a fast-moving environment.
• Strong analytical capabilities and familiarity with KPI-driven operational improvement; SQL experience is a plus.
• Experience working with distributed teams or mixed employment models, including full-time employees and contractors.
• Excellent written and verbal communication skills, with the ability to explain complex information clearly, build rapport, and align diverse stakeholders.
• Strong organizational skills, meticulous attention to detail, proactive problem-solving abilities, and a continuous-improvement mindset.
• Ability to combine strategic thinking with hands-on execution and a willingness to remain directly involved in technical and operational work.
• Strong expertise in at least one relevant technical or specialist domain, such as finance, STEM, coding/software engineering, or another technical field.
• Passion for developing high-performing teams and scaling reliable, high-quality human data operations.
• Candidates must be based in an eligible country supported by the organization, with India among the available locations; remote arrangements may also be possible depending on role and location requirements.

Responsibilities

• Own end-to-end quality and delivery for assigned human data projects, personally reviewing technical work and ensuring accuracy, consistency, guideline adherence, and reliable data production at scale.
• Lead, coach, and performance-manage a team of AI Tutors, including conducting performance reviews, maintaining development records, creating improvement plans, facilitating shadow sessions, and supporting ongoing professional development.
• Participate directly in labeling, annotation, evaluation, and review activities to maintain high standards and demonstrate best practices.
• Establish and enforce quality assurance processes, taxonomy standards, workflow guidelines, and evaluation criteria.
• Monitor operational KPIs such as quality scores, throughput, and send-back rates, using performance data to identify bottlenecks and improve team efficiency.
• Develop and maintain training materials, practice exercises, and certification benchmarks while managing certification processes and workforce adjustments.
• Partner with data managers, other team leads, and engineering stakeholders to translate AI model requirements into clear labeling strategies and operational processes.
• Foster a high-performance culture through effective coaching, accountability, talent development, and appropriate performance-management actions.
• Document project outcomes, identify opportunities for process iteration, and communicate project status, risks, and results to relevant stakeholders.
• Represent the needs and perspectives of the AI Tutor team while promoting strong collaboration across the wider human data organization.

Skills

People management

AI/data labeling

Software engineering

SQL

Data quality metrics

Job description

Lever, Inc. in Mexico is seeking an Expert Team Lead, SWE to lead a hands-on, high-performance team that builds and maintains high-quality human-generated data for AI model development.

The role combines people leadership, data quality, and software engineering excellence, translating model requirements into effective data strategies. You will own end-to-end quality, review technical work, and drive improvements, while fostering a culture of continuous learning and operational excellence across