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Softwood Lumber Grader​/Sawmill Quality Supervisor; Visual Grading

Listing for: micro1 Inc.
Full Time position Listed on 2026-11-11
Job specializations:
Salary/Wage Range or Industry Benchmark: 55000 - 96000 USD Yearly USD 55000.00 96000.00 YEAR

Job Description & How to Apply Below

Position: Softwood Lumber Grader / Sawmill Quality Supervisor (Visual Grading)

Role

Title:

Softwood Lumber Grader / Sawmill Quality Supervisor (Visual Grading)

Role Type:
Contractor

Location:

Remote

micro1 is engaging Softwood Lumber Grader / Sawmill Quality Supervisor (Visual Grading) experts to contribute their highly specialized visual grading skills and sawmill quality control experience to a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

The assignment focuses on evaluating and providing detailed, rule-based feedback on softwood lumber grades, defects, and quality control cases. If you have current or recent grading agency certification and hands-on knowledge of NLGA, WWPA, SPIB, or WCLIB standards, this is an excellent opportunity to leverage your expertise while working remotely.

Scope of Work
  • Review and assess descriptions and images of sawn softwood lumber for accurate visual grading according to published rules (NLGA, WWPA, SPIB, WCLIB).
  • Identify and measure lumber defects including knots, wane, checks, shake, and warp, and determine corresponding grade limits.
  • Make clear grade calls on sample pieces based on rulebook criteria, documenting the decision-making process in writing.
  • Evaluate grade stamping accuracy and provide feedback on proper application and compliance.
  • Analyze grade recovery and quality control scenarios, offering insight into optimization possibilities.
  • Reference the specific rule(s) that justify each grade decision, ensuring technical rigor.
  • Deliver written and verbal explanations for decisions to support AI model training and development.
  • Preferred Qualifications
  • Active or recent certification as a softwood lumber grader or sawmill quality control supervisor from a recognized agency (e.g., NLGA, WWPA, SPIB, WCLIB).
  • Demonstrated expertise in visual lumber grading and defect identification across common softwood species.
  • Proven ability to interpret and apply industry grading rules with confidence and accuracy.
  • Experience providing written and verbal feedback or training on quality standards.
  • Familiarity with grade stamping procedures, grade recovery metrics, and quality control best practices.
  • Strong attention to detail, technical documentation skills, and ability to articulate decisions clearly.
  • Recent practical experience in a sawmill environment is highly valued.
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