Manager, Human Data Operations

x.ai

Lead Human Data function responsible for delivering training data for SpaceXAI. Manage teams and build operational systems for model development while ensuring data quality.

Posted 7/22/2026full-timeRemote • 🏈 Anywhere in North AmericaJuniorMid-Level💰 $108,000 - $162,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing high-quality operations at scale, particularly in data annotation and AI training, while fostering team development and cross-functional collaboration. Proficient in defining operational standards and leveraging metrics to drive efficiency and performance.

Highest-signal resume keywords

People Leadership ExperienceHigh-Quality Operations ManagementAI/ML Concepts UnderstandingProject Management Tools FamiliarityPerformance Metrics Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnnotationAI TrainingQuality Assurance ProcessesOperational Standards DefinitionPerformance Management

Soft Skills

Team DevelopmentCollaborationCoachingCommunicationAccountability

Tools & Technologies

NotionJIRALinearAxiom

Industry Keywords

Human Data ProjectsTalent Pipeline BuildingScalabilityBottleneck ResolutionCross-Functional Alignment

Tech Stack

Tools & technologies

About the role

Key responsibilities & impact

Own end-to-end quality and delivery for critical Human Data projects while ensuring accuracy, consistency, and guideline adherence at scale.
Lead, coach, and grow a team of Team Leads and AI Tutors (full-time and contractors), including performance management, career development, and talent pipeline building.
Manage a globally distributed workforce spanning multiple employment types (full-time employees and contractors), fostering strong collaboration and consistent standards across time zones.
Collaborate closely with Members of Program Staff, Go-to-Market teams, and Engineering teams to understand model needs and translate them into clear data requirements and labeling strategies.
Define and continuously improve operational standards, annotation guidelines, taxonomy, and quality assurance processes.
Drive efficiency and scalability by identifying and resolving bottlenecks, implementing process improvements, and leveraging metrics/KPIs to track performance (e.g., send-back rate, tutor utilization, lead time).
Recruit, hire, and develop top talent while maintaining a high-performance, meritocratic culture with strong accountability.
Build and iterate training programs, certification processes, and onboarding systems for new team members and leaders.
Act as the voice of the tutors while connecting Team Leads with Human Data Engineers to drive continuous improvement.
Report on program status, risks, and outcomes to senior leadership while fostering cross-functional alignment.

Requirements

What you’ll need

2+ years of people leadership experience, including managing Team Leads or equivalent managers
Proven track record delivering high-quality operations at scale (e.g., in data annotation, AI training/evaluation, content quality, operations, or similar domains)
Basic understanding of AI/ML concepts and how high-quality training data impacts model performance
Familiarity with project management tools such as Notion, JIRA, Linear, or Axiom

Benefits

Comp & perks

Equity
Comprehensive medical coverage
Vision insurance
Dental coverage
Access to a 401(k) retirement plan
Short & long-term disability insurance
Life insurance
Various other discounts and perks
Health insurance for eligible U.S. based positions
Paid sick leave for eligible U.S. based positions