Remote Softwood Lumber Grader & Sawmill Quality Lead

micro1; United States; Remote; USD 28,000 - 83,000; Full time

Job summary

micro1 is seeking a Softwood Lumber Grader / Sawmill Quality Supervisor (Visual Grading) to support remote AI data training projects. You will apply expert NLGA/WWPA/SPIB/WCLIB rule-based grading to evaluate softwood lumber descriptions and images, determine grades, stamps, and QC outcomes.

Preferred candidates hold current or recent certification and can articulate decisions in writing and verbally; this is a remote contractor role delivering high-quality feedback to AI model training.

Qualifications

• Visual grading to published rules (NLGA, WWPA, SPIB, WCLIB)
• Ability to identify knots, wane, checks, shake and warp
• Experience with grade stamping procedures
• Experience providing written and verbal feedback on quality standards
• Ability to reference rulebooks to justify grade decisions

Responsibilities

• Review and assess lumber descriptions and images for accurate visual grading per NLGA/WWPA/SPIB/WCLIB
• Identify and measure defects such as knots, wane, checks, shake, and warp; determine grade limits
• Make clear grade calls and document decision-making process
• Evaluate grade stamping accuracy and provide feedback on compliance
• Analyze grade recovery and quality control scenarios for optimization
• Provide written and verbal explanations to support AI model training

Skills

Visual grading

Lumber defects identification

Grade stamping

Quality control

Rule-based decision making

Job description

micro1 is seeking a Softwood Lumber Grader / Sawmill Quality Supervisor (Visual Grading) to support remote AI data training projects. You will apply expert NLGA/WWPA/SPIB/WCLIB rule-based grading to evaluate softwood lumber descriptions and images, determine grades, stamps, and QC outcomes.

Preferred candidates hold current or recent certification and can articulate decisions in writing and verbally; this is a remote contractor role delivering high-quality feedback to AI model training.