1321 Ai Data Annotator jobs in Mountain View,CA

BS/MS in Electrical Engineering, Industrial Engineering, Computer Science, or related field preferred; minimum 2 years of work experience in production or industrial settings, with focus on server troubleshooting and automation.
Hands-on experience with production automation enhancement, AOI, and inspection/test coverage for server assemblies; familiarity with PLC programming, HMI, and network protocols (Modbus, OPC UA).
Able to read and understand Bills of Material, schematics, and data sheets; holding relevant IPC certifications is advantageous.
Proficiency in lean tools (Six Sigma, 5S, Kaizen) and technical instruments like oscilloscopes, multimeters, or diagnostic software for root cause analysis in automated environments.
Basic or familiar with Windows and Linux operating systems; experience developing scripts for process optimization.
Analytical mindset with strong problem-solving abilities; good communication skills in English, both written and verbal.
Ability to work in a fast-paced environment, manage multiple tasks, and provide flexible support as needed.
Experience or knowledge in AI infrastructures for AI factory operations as a major plus to help build our capabilities; junior positions available for candidates interested in lean manufacturing careers with emphasis on automation and server quality improvement.

Element Solutions

Fremont, CA 94538

Minimum Qualifications: 0-3 years of industry experience in a related field.
Basic computer skills: Microsoft Excel, Word, PowerPoint; ability to log process data

Senko Advanced Components

San Jose, CA 95154

Nokia

Sunnyvale, CA 94087

Ph.D. in Electrical Engineering, Materials Science, Physics, Chemical Engineering, or a related field
8+ years of experience in semiconductor wafer fabrication
Hands-on experience with III-V processes, including epitaxy, wet and dry etching, photolithography, and metal deposition
Strong understanding of semiconductor processes and device physics
Proven analytical and problem-solving skills with proficiency in data analysis tools (e.g., JMP, Python)
Experience with SPC, DOE, and yield optimization methodologies
Excellent communication skills with the ability to present technical work to diverse stakeholders

Disability Solutions

San Jose, CA 95123

Micro Precision

San Jose, CA 95153

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AMAX

Fremont, CA 94539

Bachelor's degree in Engineering or related field
5-7 years of experience in quality management within hardware, electronics, or manufacturing environments
Strong knowledge of QMS (ISO 9001 or similar)
Experience with root cause methodologies (8D, 5 Whys, Fishbone)
Familiarity with manufacturing of servers, storage systems, or similar hardware