Data Quality Specialist (数据质量专员)
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Before you apply
LocationShenzhen, China
Typefull-time
SeniorityEntry
Experience1–2 yrs
Company size51–200 people
PostedOct 6, 2025 · 1y ago
Verified live6h ago
May no longer be actively hiring
Posted by the company on Oct 6, 2025
At a glanceSummarised by Seekless from the posting.
1-2 years of work experience in manufacturing, process or mechanical engineering or quality inspection role, ideally in high tech electronics
Strong attention to detail with the ability to perform repetitive tasks consistently and accurately
Solid interpersonal and communication skills
Excellent written and spoken Mandarin language skills; basic working proficiency in English
Technically savvy and eager to learn new systems and tools
Ability to learn quickly, follow structured processes, and apply feedback to improve program results
About the company
Instrumental builds the manufacturing acceleration platform behind the world’s most complex electronics. We capture digital exhaust and engineering context from assembly lines—images, test logs, BOM data, performance, repair cycles—and our AI engines identify insights that are difficult or impossible for human engineers to find. We accelerate the companies building the AI era by improving manufacturing yield, throughput, and ramp. NVIDIA, Meta, L3Harris, and their manufacturing partners rely on Instrumental to accelerate new product introduction and production.
About the role
We’re seeking a Data Quality Specialist to join our team and help scale our ability to deliver world-class manufacturing AI solutions. This role will have a direct impact on the quality of results our customers see in the Instrumental platform.
This role is ideal for a professional with a background in manufacturing or quality control. As a Data Quality Specialist, you will play a hands-on role in reviewing and analyzing customer image data in our application to ensure high-quality outcomes.
Come join us if you are meticulous and passionate about improving electronics manufacturing and love working with a global team. The ideal candidate is multi-faceted, technically savvy, organized, and deeply customer-oriented.
What You’ll Be Doing:
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Set Up Customer Program Environment: Partner with a global customer success team to ensure high-quality data ingestion post-deployment by preparing the customer environment for anomaly and defect detection. Avoid errors that could undermine AI model performance or user experience.
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Label and Review Data: Classify product images accurately and consistently, ensuring high-quality training data for our AI models.
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Maintain Quality Standards: Follow established guidelines and processes to avoid errors that could degrade model performance.
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Data Reporting: Clean and refine customer image data for immediate use in summary reports. This process involves reviewing photos, summarizing key defect trends and patterns, and generating program ROI reports.
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Process Improvement and Issue Escalation: Maintain process discipline by following established workflows. Proactively identify and flag unusual data patterns, environment changes (like new SKUs or lighting issues), or ambiguous cases, escalating them to senior team members to ensure the best possible results.
What You Have:
•
1-2 years of work experience in a manufacturing, process or mechanical engineering or quality inspection role, ideally in the high tech electronics industry.
•
Strong attention to detail with the ability to perform repetitive tasks consistently and accurately.
•
Solid interpersonal and communication skills.
•
Excellent written and spoken Mandarin language skills; basic working proficiency in English (can navigate professional email correspondence).
•
Technically savvy and eager to learn new systems and tools.
•
Ability to learn quickly, follow structured processes, and apply feedback to improve program results.
You’re encouraged to apply even if your experience doesn’t precisely match the job description.
Legal
At Instrumental, protecting company and customer information is a shared responsibility. All employees are expected to comply with company security and privacy policies and promptly report suspected security incidents or policy violations.