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Post-training Team Lead

9 hours, 56 minutes ago
India, Indonesia, Japan, United States, United Kingdom, United Arab Emirates, Ireland, Philippines, Singapore, South Korea
Full-time
Lead
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
JIRA Linear Machine Learning Notion SQL
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x.ai

x.ai

x.ai is a technology company founded in 2014 that specializes in developing artificial intelligence personal assistants. Their flagship product is a personal assistant that efficiently schedules meetings for users. With a focus on sustainable business ...

Internet Software & Services
51-250
Founded 2023
$44M raised
View All Jobs 6

Description

  • Own end-to-end quality and delivery for assigned Human Data projects.
  • Lead, coach, and performance-manage a team of AI Tutors, including reviews, action plans, shadow sessions, and ongoing development.
  • Personally perform labeling and review work while establishing best practices and quality standards.
  • Maintain guideline adherence, taxonomy management, and quality assurance processes.
  • Identify operational bottlenecks, implement process improvements, and track KPIs such as quality, throughput, and send-back rates.
  • Create and deliver training materials, practice tasks, and certification benchmarks; manage certifications and workforce adjustments.
  • Collaborate with Human Data Managers, Team Leads, and Engineering to translate model needs into labeling strategies.
  • Document outcomes and report project status, risks, results, and recommended process improvements.
  • Represent AI Tutors and foster collaboration across the Human Data organization.

Requirements

  • 1+ year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a related operational field.
  • Bachelor’s degree or 4+ years of professional experience in lieu of a degree.
  • Experience with data quality metrics, annotation processes, and guideline-driven workflows.
  • Familiarity with Notion, Axiom, JIRA, Linear, or equivalent project and collaboration tools.
  • Basic understanding of AI and machine learning concepts and the impact of training data quality on model performance.
  • Expertise in design, psychology, philosophy, writing, or another humanities discipline preferred.
  • Experience leading small teams in data labeling, annotation, or related operations preferred.
  • Experience managing multiple projects, distributed teams, performance management, coaching, training, or certification programs preferred.
  • Data analysis proficiency; SQL experience is a plus.
  • Strong communication, organization, attention to detail, prioritization, problem-solving, and continuous-improvement skills.
  • Ability to work strategically while executing hands-on tasks and building high-performing teams.
  • Must be based in the United States, Dubai, Ireland, United Kingdom, Japan, India, Indonesia, South Korea, the Philippines, or Singapore; remote work may be possible.

Benefits

  • U.S. salary range of $104,000–$156,000, depending on experience, qualifications, location, and other factors.
  • Equity package.
  • Medical, vision, and dental coverage.
  • 401(k) retirement plan.
  • Short- and long-term disability insurance and life insurance.
  • Paid sick leave for eligible U.S.-based positions.
  • Additional discounts and perks, varying by location and employment type.

Interested in this position?

Apply directly on the company website

Apply Now

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