Robotics Quality Lead Associate

The Robotics Operations Quality Associate holds primary accountability for collection performance assigned to a shift. This role ensures that data collector training is being implemented across all collection efforts happening in the lab. The Quality Associate is responsible for driving excellence across key operational metrics while embodying a high-performance culture rooted in professional development and continuous process improvement. You will: Organizational Leadership Direct Span of Control: Provide tactical direction across all collection roles on the shift Employee Experience & Advocacy: Serve as the guardian of the workplace experience. Proactively identify the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction. Operational Excellence & Metric Accountability Key Operational Metrics: Maintain full accountability for shift-level performance in Quality, including Scene/Demonstration assignment Technical Stability: Partner with the Robotics Ops Diversity and Quality Leads to ensure data collection is staged for success with minimal Collector overhead. Serve as the primary escalation point for any operational disruptions stemming from diversity, quality, or collection Specifications Customer-Mindedness: Become an expert in understanding customer needs and the operational implementation required to deliver them. Ensure Collection team is meeting these expectations Advanced Data Analysis & Problem Solving Operational Dive-Deeps: Execute analysis of quality, diversity, and distribution data. The Quality Associate must demonstrate the ability to identify statistical outliers and performance trends, translating raw data into technical or behavioral insights. Root Cause Methodology: Lead formal Root Cause Analysis (RCA) processes (e.g., 5-Whys, Fishbone) to address complex operational variances and implement preventive measures to ensure long-term stability. Stakeholder Collaboration Cross-Functional Synergy: Collaborate daily with Quality Management, Engineering, and on-site Maintenance teams to synchronize efforts. Facilitate formal shift handovers to ensure the precise transfer of critical information and operational status between leadership teams. Ideally, you’d have: Experience: 3+ years in high-volume manufacturing, automated logistics, or technical operations. Significant leadership capacity managing large-scale teams Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making. Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks. Education: Bachelor’s degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered. Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $84,000—$105,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.