Expert Team Lead, SWE
๐ Australia
๐ Canada
๐ Switzerland
๐ Germany
๐ Spain
๐ France
๐ United Kingdom
๐ Indonesia
๐ Ireland
๐ India
๐ Japan
๐ South Korea
๐ Netherlands
๐ Philippines
๐ United States
๐ Dubai, United Arab Emirates
๐ Asia, Philippines
๐ Singapore, Singapore
๐ Palo Alto, United States
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 โ basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 โ daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 โ you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 โ exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Communication @ 6
Data Analysis @ 6
Machine Learning @ 4
SQL @ 6
- 1-2 โ basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 โ daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 โ you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 โ exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. Employees are expected to be hands-on, contribute directly to the company's mission, communicate clearly, and consistently deliver high-quality work.
Responsibilities
- Own end-to-end quality and delivery for assigned Human Data projects, including personally reviewing work, ensuring accuracy and consistency, following guidelines, and producing high-quality data at scale.
- Lead, coach, and performance-manage a team of AI Tutors, including conducting 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.
- Identify and resolve operational bottlenecks, implement process improvements, and track performance using KPI dashboards, including quality metrics, throughput, and send-back rates.
- Build, update, and deliver training materials, practice tasks, and certification benchmark tasks; manage certifications and workforce adjustments.
- Collaborate with Human Data Managers, other Team Leads, and Engineering to translate model needs into clear labeling strategies and requirements.
- Coach and develop talent while maintaining accountability and a high-performance culture; support disciplinary actions as needed.
- Document outcomes, suggest process iterations, and report project status, risks, and results.
- Represent the needs of AI Tutors while fostering collaboration across the broader Human Data organization.
Requirements
Basic Qualifications
- At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or similar operational domains.
- Professional experience building scalable, high-performance technology applications.
- Experience with data quality metrics, annotation processes, and guideline-driven workflows.
- Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance.
- Experience with performance management, coaching, training program development, and certification frameworks.
Preferred Skills and Experience
- Experience leading small teams in data labeling, annotation, or related operations.
- Ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment.
- Strong record of reviewing domain work, ensuring data quality, and improving operational processes.
- Proficiency in data analysis and associated tools; SQL is a plus.
- Experience using metrics and KPIs to drive continuous improvement.
- Experience managing mixed employment types, including full-time employees and contractors, or distributed teams.
- Excellent verbal and written communication skills.
- Strong organizational skills, attention to detail, proactive problem-solving ability, and a focus on continuous improvement.
- Strategic thinking combined with strong hands-on execution.
- Specialty or strong domain expertise in Finance, STEM, Coding/Software Engineering, or another technical field.
- Passion for building high-performing teams and scaling high-quality Human Data operations.
Additional Requirements
Candidates must be based in one of the following countries where SpaceXAI has a physical office; remote work is also possible:
- United States
- United Arab Emirates (Dubai)
- Ireland
- United Kingdom
- Japan
- India
- Indonesia
- South Korea
- Philippines
- Singapore
Compensation and Benefits
US-based candidates: $104,000โ$170,400 USD, depending on factors including relevant experience, skills, education, geographic location, and qualifications. International compensation information will be provided during the recruitment process.
The total rewards package also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, and various discounts and perks. Benefits vary based on employment type, location, and jurisdiction. Eligible US-based positions include health insurance, a 401(k) plan, and paid sick leave.