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Team Lead, Human Data Operations - Post Training; Fully Remote

Remote / Online - Candidates ideally in
Jacksonville, Duval County, Florida, 32290, USA
Listing for: Jobgether SRL
Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, AI Evaluation, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 60000 - 90000 USD Yearly USD 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Team Lead, Human Data Operations - Post Training (Fully Remote)
  • Own end-to-end quality and delivery for assigned Human Data projects, personally reviewing domain-specific work and ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale.
  • Lead, coach, and performance-manage a team of AI Tutors through regular reviews, documented feedback, action plans, shadow sessions, and continuous development.
  • Participate directly in labeling, annotation, and review activities to maintain quality standards and demonstrate best practices.
Requirements:
  • At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a similar operational environment.
  • Bachelor’s degree or at least 4 years of relevant professional experience in place of a degree.
  • Demonstrated understanding of data quality metrics, annotation processes, and guideline-driven workflows. Basic understanding of AI/ML concepts.
  • Fully remote working opportunity, subject to applicable employment and location requirements.
  • Competitive compensation, with international salary details shared during the recruitment process. Equity participation as part of the overall rewards package, where applicable.
  • Comprehensive medical, dental, and vision coverage for eligible employees, depending on location and employment type. Access to retirement benefits such as a 401(k) plan for eligible U.S.

    -based positions.
Jobgether

Our partner is a company that produces and evaluates high-quality human data to support the development of advanced AI systems. They are part of a collaborative, engineering-focused environment with a distributed team, emphasizing initiative and ownership.

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