Softwood Lumber Grader / Sawmill Quality Supervisor (Visual Grading)
micro1
$20 – $60/hour · as listed
This remote AI training role involves applying expert visual grading skills to evaluate softwood lumber quality according to industry standards. You'll assess lumber samples against established rules from major grading organizations, identify defects like knots, wane, checks, and warp, and determine appropriate grade classifications. The work supports AI model development in sawmill quality control and lumber grading automation.
This position suits professionals with advanced knowledge of lumber grading standards and defect classification, whether from sawmill QC backgrounds or related timber industry experience. You'll work independently on a flexible, remote basis, contributing high-quality training data that helps refine AI systems for the forestry and manufacturing sector.
The role is listed at $20–$60/hour through micro1's platform. Five positions are available for qualified experts in this specialized AI data work.
From the listing: AI-training role at micro1 · Expert role · 5 openings. Skills: Visual grading to published rules (NLGA - WWPA - SPIB - WCLIB), Lumber defect identification and grade limits (knots - wane - checks - shake - warp), Grade stamping, grade recovery and QC.
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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