Expert Team Lead, SWE (Fully Remote)

Not Disclosed; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Not Disclosed in the United States seeks a hands-on leader to build and maintain high-quality human-generated data for AI model development. You will lead a team of AI Tutors, set quality standards, and stay actively involved in the work.

The role emphasizes ownership of data delivery, coaching the team, and collaborating with data managers and engineers to translate model requirements into actionable labeling strategies.

Qualifications

• Experience in data labeling, annotation, AI training, or a comparable operational discipline.
• People management experience and the ability to build and develop high-performing teams.
• Strong analytical skills, familiarity with KPIs, and a continuous-improvement mindset.
• Expertise in at least one technical domain such as finance, STEM, or software engineering.

Responsibilities

• Own end-to-end quality and delivery for assigned data projects, personally reviewing technical work and ensuring accuracy and consistency.
• Lead, coach, and performance-manage a team of AI Tutors, including reviews, improvement plans, and professional development.
• Collaborate with data managers and engineering stakeholders to translate model requirements into clear labeling strategies.

Skills

Data labeling experience

People management

Analytical skills

Job description

• This is a hands-on leadership position focused on building and maintaining high-quality human-generated data for advanced AI model development.
• You will lead a team of AI Tutors, set quality standards, and drive operational improvements while staying directly involved in the work.

Key Responsibilities:

• Own end-to-end quality and delivery for assigned data projects, personally reviewing technical work and ensuring accuracy and consistency.
• Lead, coach, and performance-manage a team of AI Tutors, including reviews, improvement plans, and professional development.
• Collaborate with data managers and engineering stakeholders to translate model requirements into clear labeling strategies.

What We're Looking For:

• Experience in data labeling, annotation, AI training, or a comparable operational discipline.
• People management experience and the ability to build and develop high-performing teams.
• Strong analytical skills, familiarity with KPIs, and a continuous-improvement mindset.
• Expertise in at least one technical domain such as finance, STEM, or software engineering.

Not Disclosed

They build and maintain high-quality human-generated data that supports advanced AI model development. The company has a fast-paced, collaborative, and highly autonomous culture focused on technical excellence and continuous improvement.