About this role
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.