포지션 상세
SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
• Lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement.
• Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices.
• Ensure strict guideline adherence, taxonomy management, and quality assurance processes.
• Drive efficiency by identifying and resolving operational bottlenecks, implementing process improvements, and tracking performance via KPI dashboards (e.g., quality metrics, throughput, send-back rates).
• Collaborate closely with Human Data Managers, fellow Team Leads, and Engineering to translate model needs into clear labeling strategies and requirements.
• Coach and develop talent while maintaining strong accountability and a high-performance culture; support disciplinary actions as needed.
• Document outcomes, suggest process iterations, and report project status, risks, and results.
• Act as the voice of your tutors while fostering strong collaboration across the broader Human Data organization.
• Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance.
• Bachelor's degree in Finance, Accounting, Economics, or related fields or 4+ years applicable experience in lieu of a degree.
주요업무
• Own end-to-end quality and delivery for assigned Human Data projects — personally reviewing work in the domain, ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale.• Lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement.
• Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices.
• Ensure strict guideline adherence, taxonomy management, and quality assurance processes.
• Drive efficiency by identifying and resolving operational bottlenecks, implementing process improvements, and tracking performance via KPI dashboards (e.g., quality metrics, throughput, send-back rates).
• Collaborate closely with Human Data Managers, fellow Team Leads, and Engineering to translate model needs into clear labeling strategies and requirements.
• Coach and develop talent while maintaining strong accountability and a high-performance culture; support disciplinary actions as needed.
• Document outcomes, suggest process iterations, and report project status, risks, and results.
• Act as the voice of your tutors while fostering strong collaboration across the broader Human Data organization.
자격요건
• 6 months+ of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains.• Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance.
• Bachelor's degree in Finance, Accounting, Economics, or related fields or 4+ years applicable experience in lieu of a degree.
