WFH.teamOpen app$42k-$125k
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What this posting tells you
Remote contractor role reviewing softwood lumber descriptions and images, applying published grading rules, documenting grade decisions, and providing feedback for AI training. Recent grading certification and sawmill experience are preferred. Compensation is not stated in the listing.
Operations, Product, Security, Software, Customer support, Writing and content
Eligible countries are not stated.
Timezone overlap is not stated.
Unspecified · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
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This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSoftwood Lumber Grader / Sawmill Quality Supervisor (Visual Grading) at micro1
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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.