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Laboratory Technician

Job in Redmond, King County, Washington, 98052, USA
Listing for: BCforward
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 50000 - 70000 USD Yearly USD 50000.00 70000.00 YEAR
Job Description & How to Apply Below

Job Summary

yAs a Data Operations Technician, you will join the Product Data Operations teams in Burlingame and Redmond to support our Robotics Studio data collection and annotation projects. You will work directly with new and emerging VR/AR technologies, performing hands‑on data collection, annotation, and quality assurance tasks. (2 to 5+ yrs of experience

Qualifications
  • ns Experience with AR/VR devices, or robotics, or similar hands‑on technical environment
  • s.Scaled data collection experience with physical device research team
  • ms Strong attention to detail and ability to follow complex protocol
  • s.Comfort with repetitive tasks and ability to maintain focus and accurac
  • y.Demonstrated computer literacy and the ability to confidently execute well‑documented tasks on computers, including running python scripts and using data entry or annotation tool
  • s.Ability to work collaboratively in a fast‑paced, on‑site team environmen
  • t.Willingness to learn and adapt to new tools and processe
  • s.Scope of Work and Deliverabl
  • es Generate high‑quality datasets following strict procedural instruction
Preferred Qualifications
  • ons Experience troubleshooting and documenting technical err
Responsibilities
  • ties Operate prototype devices to collect high‑quality data in lab and simulated environme nt s. Follow detailed protocols to perform complex data collection tasks, ensuring consistency and accuracy.
  • Annotate and label collected data using internal tools and plat forms.
  • Participate in quality assurance (QA) activities, reviewing and validating data for accuracy and completen ess.
  • Collaborate with team members and project leads to orchestrate and optimize data collection sessi ons.
  • Document procedures, issues, and findings as nee ded.
  • Adhere to all safety, privacy, and confidentiality guideli
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