Expert Team Lead, Engineering
공고 요약
담당업무
Human Data 프로젝트의 엔드투엔드 품질과 납기 관리
AI Tutor 팀 리딩, 코칭, 성과관리 및 정기 리뷰
AI 학습 데이터 라벨링·검수 참여와 우수 사례 정립
가이드라인 준수, taxonomy 관리, 품질보증 프로세스 운영
품질 지표·처리량·반송률 등 KPI 대시보드 기반 성과 추적
운영 병목 해결 및 프로세스 개선
교육자료·실습과제·인증 벤치마크 과제 제작 및 운영
Human Data Manager, Team Lead, Engineering과 라벨링 전략 및 요구사항 협업
프로젝트 결과·리스크·성과 문서화 및 보고
AI Tutor의 의견을 대변하고 조직 간 협업 강화
자격요건
AI 및 머신러닝 기본 개념 이해
고품질 학습 데이터가 모델 성능에 미치는 영향에 대한 이해
근무환경
수평적인 조직 구조
도전과 호기심을 중시하는 업무 환경
소규모의 높은 동기부여와 엔지니어링 우수성 중심 문화
마감기한
상시채용
엑스에이아이 (xAI) 지원하기 전 이력서 Check
시간이 없다면 AI와 한번에 수정해보세요
공고 원문
소개
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. We operate with a flat organizational structure.
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). • Build, update, and deliver training materials, practice tasks, and certification benchmark tasks; manage certifications and workforce adjustments. • 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
• Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or a closely related engineering field. • 2+ Professional experience in engineering practice, such as design, analysis, testing, R&D, or systems integration OR a Master's degree (or higher) in an engineering or engineering related field. • Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance.
우대사항
• Advanced degree (MS or PhD) in an engineering discipline, or professional licensure (PE, or FE/EIT). • Demonstrated experience with data quality metrics, annotation processes, and guideline-driven workflows (as evidenced by prior roles or projects). • Breadth across multiple engineering disciplines, with the ability to credibly review work outside your primary specialty. • Experience with performance management, coaching, training program development, and certification frameworks. • 1+ years of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains. • Professional experience building scalable, high-performance technology applications. • Previous experience leading small teams in data labeling, annotation, or related operations. • Proven ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment. • Strong track record of reviewing domain work, ensuring data quality, and improving operational processes. • Proficiency in data analysis and associated tools (SQL a plus); ability to use metrics and KPIs to drive continuous improvement. • Experience managing mixed employment types (full-time employees and contractors) or distributed teams. • Excellent verbal and written communication skills with the ability to build rapport quickly and align stakeholders. • Strong organizational skills, high attention to detail, proactive problem-solving mindset, and focus on continuous improvement. • Strategic thinking combined with strong hands-on execution. • Specialty or strong domain expertise in at least one of the following areas: Finance, STEM, Coding/Software Engineering, or other technical fields.
혜택 및 복지
• Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. • Benefits vary based on employment type, location and jurisdiction. • Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave.
