AI Labeler, Wood Science
MiCROTEC•Corvallis, OR
•Hybrid
About The Position
The AI Labeler supports the Artificial Intelligence team by labeling targeted characteristics on images and evaluating AI-generated outputs to ensure accuracy in detecting wood types, traits and defects. This role involves processing large datasets, analyzing images coming from MiCROTEC products, ensuring labeling accuracy, and collaborating with the AI and Grading teams to improve model performance.
Requirements
- Strong attention to detail and ability to maintain high accuracy.
- Excellent time management and ability to manage multiple projects while meeting deadlines.
- Proficiency in technology & software.
- Ability to adapt quickly and learn new tools/processes.
- 2+ years of experience in wood science from any combination of work or academic studies.
Nice To Haves
- Bachelor's degree in any field (preferred but not required).
- Wood Grading Certification (bonus points).
Responsibilities
- Label lumber images for specific traits and characteristics (e.g., knot, decay, resin pocket, crack).
- Ensure labeling standards and guidelines are met for each project.
- Verify and analyze traits on physical boards, support data saving campaigns.
- Assess AI-generated defect detection results to ensure deep learning model accuracy.
- Collaborate and provide feedback to AI engineers to improve models.
- Process and manage incoming datasets and data flow efficiently.
- Work closely with the AI team, Grading Support, and other labelers to ensure consistency.
- Assist in evaluating AI model performance, providing feedback on weak points.
- Understand and implement either customer specifications or standard grading rules for image processing.
- Submit labeled images for review and align adapting to the team’s feedback.
- Participate in team discussions in person or via Teams/Outlook.
- Review and verify the accuracy of labeled images from other labelers.
- Continuously improve computer skills and technical knowledge related to the role.
- Provide feedback and suggestions to improve labeling tools and processes.
Benefits
- Overtime is paid for any hours worked in excess of 40 per week.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
