SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence, with a flat organizational structure that expects hands‑on contribution and leadership from employees. This role is a hands‑on leadership position for a team of AI Tutors, responsible for delivering high‑quality training data and evaluations that power SpaceXAI’s models while setting standards for data quality, operational excellence, and continuous improvement.
Expert Team Lead, Medicine na xAI
Remoto - Palo Alto, CA, United States
Ver mais vagas na xAISalary
R$ 104,000 - 170,400
Requirements
Skills
- 8 months or more 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 or higher in a clinical or medicine‑adjacent field (e.g., medicine, nursing, public health, health administration, biomedical engineering) or graduate degrees such as MPH or MHA, or 5+ years of experience in lieu of a degree.
- Previous people leadership experience.
- Medical Doctorate (MD, DO, MBBS, or equivalent physician qualification) or other completed clinical doctoral degrees.
- Residency or postgraduate clinical experience or familiarity with clinical data and workflows, including laboratory results, medical imaging, electronic health records (EHRs), and clinical documentation.
- 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.
- Experience with performance management, coaching, training program development, and certification frameworks.
- Proficiency in data analysis and associated tools (SQL a plus).
- Experience managing mixed employment types (full‑time employees and contractors) or distributed teams.
- Excellent verbal and written communication skills.
- Familiarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent.
- Strong organizational skills, high attention to detail, proactive problem‑solving mindset, and focus on continuous improvement.
- Strategic thinking combined with strong hands‑on execution.
- Passion for building high‑performing teams and scaling high‑quality Human Data operations.
- Candidates must be based in one of the following countries where SpaceXAI has a physical office; remote work is also possible: United States, Dubai, Ireland, United Kingdom, Japan, India, Indonesia, South Korea, Philippines, Singapore.
Responsibilities
- Own end‑to‑end quality and delivery for assigned Human Data projects, personally reviewing work, 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.
Technologies
SQLNotionAxiomJIRALinear
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