Data Quality Specialist

Instrumental, Inc.•Palo Alto, CA

9d•$80,000 - $106,000

About The Position

Instrumental is seeking a Data Quality Specialist to help scale the intelligence behind its manufacturing AI platform. The role involves analyzing manufacturing data, labeling complex image data from customer production lines, and developing dashboards and analytical processes to optimize operations. The specialist’s work will influence the accuracy, reliability, and performance of AI models used by leading electronics brands. The ideal candidate is analytically minded, meticulous, comfortable with data tools, process-oriented, and able to work with a global team at the intersection of quality control and analytics. The role partners with the global customer success team to prepare customer environments for anomaly and defect detection and support high-quality data ingestion after deployment. It also includes classifying and reviewing product images, maintaining labeling quality standards, cleaning and refining image data for summary reports, identifying defect trends, and generating program ROI reports. The specialist follows established workflows and flags unusual data patterns, environment changes, and ambiguous cases for escalation to senior team members. Instrumental offers competitive, location-based compensation. The representative annual base salary range is $80,000–$106,000. Benefits include health, vision, dental, public transit/commuter plans, and parental leave.

Requirements

1–2 years of work experience in manufacturing, process or mechanical engineering, or quality inspection; experience in the high-tech electronics industry is ideal.
Strong attention to detail and ability to perform repetitive tasks consistently and accurately.
Solid interpersonal and communication skills.
Technical aptitude and eagerness to learn new systems and tools.
Ability to learn quickly, follow structured processes, and apply feedback to improve program results.

Nice To Haves

Familiarity with programming languages such as Python.
Exposure to data ETL, analytics, or system integration.
Written and spoken Mandarin language skills are strongly preferred.

Responsibilities

Partner with the global customer success team to prepare customer program environments for anomaly and defect detection and support high-quality data ingestion after deployment.
Classify product images accurately and consistently to create high-quality training data for AI models.
Follow established guidelines and processes to maintain quality standards and avoid errors that could degrade model performance.
Clean and refine customer image data for summary reports by reviewing photos, summarizing defect trends and patterns, and generating program ROI reports.
Follow established workflows and proactively identify and flag unusual data patterns, environment changes such as new SKUs or lighting issues, and ambiguous cases for escalation to senior team members.