Find and fix known and unknown issues, improve yields, and transform operations using Instrumental's Manufacturing Acceleration Platform. Backed by First Round Capital.
About the role
We're seeking a Data Quality Specialist to help scale the intelligence behind Instrumental's manufacturing AI platform. In this role, you won't just review data — you'll analyze patterns, build insights, and apply your engineering judgment to shape how our AI understands real-world manufacturing defects and variation. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- Technically savvy and eager to learn new systems and tools
- Ability to learn quickly, follow structured processes, and apply feedback to improve program results
- Familiarity with programming languages such as Python is a plus, with exposure to data ETL, analytics, or system integration being beneficial but not required
More about this role
Instrumental technology is used by the world’s most admired electronics brands, such as NVIDIA, Cisco, and Meta, to accelerate new product development and improve production yields. Our technology leverages AI to process data generated on the manufacturing floor, automating failure identification and resolution, improving yield, quality, and time-to-market. In the past few quarters, our technology has become mission-critical for AI server manufacturers. We’re rapidly growing our global presence to enable deeper integrations into our customers’ complex manufacturing environments.
We're seeking a Data Quality Specialist to help scale the intelligence behind Instrumental's manufacturing AI platform. In this role, you won't just review data — you'll analyze patterns, build insights, and apply your engineering judgment to shape how our AI understands real-world manufacturing defects and variation.
As a professional with a background in manufacturing, quality control, or data analysis, you'll play a hands-on role in labeling complex image data from customer production lines while developing dashboards and analytical processes that optimize our operations. Your expertise will directly...
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