Team Lead, Human Data Operations - Vision, Image & Video
π Australia
π Canada
π Switzerland
π Germany
π Spain
π France
π United Kingdom
π Indonesia
π Ireland
π India
π Japan
π South Korea
π Netherlands
π Philippines
π United States
π Dubai, United Arab Emirates
π Asia, Philippines
π Singapore, Singapore
π Palo Alto, United States
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 β basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 β daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 β you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 β 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
Jira @ 4
Machine Learning @ 4
Project Management @ 4
SQL @ 6
- 1-2 β basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 β daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 β you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 β 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 is seeking a hands-on team lead to manage AI Tutors responsible for producing high-quality training data and evaluations for AI models. The role owns data quality and delivery, leads team performance and development, and improves operational processes across human data projects.
Responsibilities
- Own end-to-end quality and delivery for assigned Human Data projects, personally reviewing work to ensure accuracy, consistency, guideline adherence, and high-quality data production 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 participate in labeling and review tasks to maintain high standards and model best practices.
- Ensure adherence to guidelines, taxonomy management, and quality assurance processes.
- Identify and resolve operational bottlenecks, implement process improvements, and track performance using KPI dashboards such as 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
- At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or similar operational domains.
- Bachelor's degree, or 4+ years of professional experience in lieu of a degree.
- Experience with data quality metrics, annotation processes, and guideline-driven workflows.
- Experience with project management tools such as Notion, Axiom, JIRA, Linear, or equivalent.
- Knowledge of AI and machine learning concepts and how high-quality training data impacts model performance.
- Documented quality assurance experience in creative or media projects.
Preferred Skills And Experience
- Professional experience in photography, graphic design, filmmaking, video editing, visual effects, or another creative field.
- Experience leading small teams in data labeling, annotation, or related operations.
- Familiarity with prompting and AI image and video generation models.
- Ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment.
- Experience 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 is a plus.
- Experience managing distributed teams.
- Excellent verbal and written communication skills.
- Strong organizational skills and 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.
Additional Requirements
Candidates must be based in one of the countries where SpaceXAI has a physical office. Remote work is also possible. Listed countries are the United States, Dubai, Ireland, United Kingdom, Japan, India, Indonesia, South Korea, the Philippines, and Singapore.
Compensation And Benefits
US-based candidates receive a base salary of $104,000β$156,000 USD, depending on relevant experience, skills, education, geographic location, and qualifications. Compensation information for international candidates 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, discounts, and other perks. Benefits vary by employment type, location, and jurisdiction. Eligible US-based positions include health insurance, a 401(k) plan, and paid sick leave.