
DATA LABELING QUALITY SPECIALIST
KMC Work Location: OFFSITE
Location: Taguig City, Metro Manila
Date Posted: 2023-06-06
Hiring Organization: KMC Solutions | XTN-E16F989
Career Category: Network /System / Database Administration
Join the family and be a history-maker!
White Horse Laboratories is an electronics testing and quality control company providing a turn-key solution to our clients. Internationally recognized, White Horse is a
leader in global electronics quality and supply chain management with a cohesive global family of over 160 bright and determined individuals.
We are recruiting for the following position:
Data Labeling Quality Specialist
An entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a
self-starter, detail-oriented and adaptable. The role will be focused on annotating tasks and delivering high quality by following a variety of instructions. The role will be perfect
for individuals who value challenge in their work. Responsible for the implementation of packaging solutions for new product introduction and new technology development for
electronic packages for the varied business product lines; Automotive (analog, sensors and microcontrollers), Security & Connectivity and Digital Networking. You will be
working cross-functionally with the IT department, Supply Ops, and Engineering to drive improvements in quality.
You will:
• Label machine learning data
• Complete tasks in a timely manner, meeting SLA deadlines
• Do post-process audits and write error reports on data and tasks
• Work in-sync to meet weekly goals
• Identify and resolve the root cause of low quality and provide feedback to respective teams on product improvements
Ideally you'd have:
• Bachelors+ in Materials Science, Mechanical Engineering, Chemical Engineering or Electrical Engineering is preferred
• Knowledge of various IC packages like QFP, QFN, BGA, FCBGA, FCCSP, WLCSP and FOWLP is a plus
• Knowledge of IC packaging materials, characterization methods etc. is a plus
• Knowledge of IC package and packaging material reliability failure modes is a plus
• Detail oriented and can follow complex instructions
• Ability to work full-time hours (8-hour workdays)
• Ability to work independently, cooperatively, and collaboratively as a team member
• Possession of excellent oral and written skills
• Strong sense of ownership, urgency, and drive
• Ability to handle ambiguity and changing priorities