Career card

Log Graders and Scalers

Also called: Log Buyer, Log Grader, Log Scaler, Scaler

Grade logs or estimate the marketable content or value of logs or pulpwood in sorting yards, millpond, log deck, or similar locations. Inspect logs for defects or measure logs to determine volume.

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Median pay BLS, 2025$46,330
Openings a year BLS, 2025–35600
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -2.2%

What the data says: AI could halve the time on 4 of its 12 tasks, and jobs are projected to shrink 2.2% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 5.9% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Logging workers”
  • From Sep 2025 to Aug 2026, 5.4 hires for every 10 job openings in durable goods manufacturing, which employs about 87% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 23% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$36k$62knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$44,950$39,830 to $48,260100
Arkansas$42,340$39,390 to $42,980190
California$56,670$49,030 to $58,770320
Florida$39,040$38,480 to $50,72070
Georgia$39,830$33,740 to $46,250130
Idaho$57,620$55,730 to $59,670140
Indiana$46,160$38,320 to $60,96060
Kentucky$45,330$37,360 to $49,33080
Louisiana$47,510$45,280 to $49,93090
Maine$50,180$47,070 to $60,480120
Michigan$51,810$48,360 to $60,61050
Mississippi$48,010$36,100 to $51,430130
Missouri$37,440$37,440 to $37,44060
New Hampshire$46,530$46,240 to $52,83030
North Carolina$36,850$34,600 to $50,390200
Ohio$49,710$43,430 to $55,11030
Oregon$60,250$57,500 to $62,97050
Pennsylvania$44,550$38,100 to $52,620330
South Carolina$44,370$36,600 to $47,15040
Tennessee$35,920$30,970 to $45,020110
Texas$36,100$36,090 to $39,98040
Virginia$36,220$34,640 to $42,27080
Washington$61,580$57,390 to $69,670200
West Virginia$43,040$37,150 to $45,02090
Wisconsin$46,150$43,880 to $50,980180

Nationally: $46,330. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 4 of its 12 tasks

0 · AI alone could halve the time 4 · AI + software built on it could 8 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Evaluate log characteristics and determine grades, using established criteria. Not published
AI + software Record data about individual trees or load volumes into tally books or hand-held collection terminals. Not published
Not much Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables. Not published
AI + software Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers. Not published
Not much Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing. Not published
Not much Jab logs with metal ends of scale sticks, and inspect logs to ascertain characteristics or defects such as water damage, splits, knots, broken ends, rotten areas, twists, and curves. Not published
See all 12 tasks
Not much Measure log lengths and mark boles for bucking into logs, according to specifications. Not published
AI + software Communicate with coworkers by signals to direct log movement. Not published
Not much Drive to sawmills, wharfs, or skids to inspect logs or pulpwood. Not published
Not much Arrange for hauling of logs to appropriate mill sites. Not published
Not much Saw felled trees into lengths. Not published
AI + software Weigh log trucks before and after unloading, and record load weights and supplier identities. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 0 of the 12 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 12 tasks fall under 8 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up4 of 12 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most0 of 8 activities Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Evaluate production inputs or outputs 2.18#194 0.81#171
Measure physical characteristics of materials, products, or equipment 6.04#113 1.15#158
Mark materials or objects for identification 3.28#160 0.80#172
Maintain operational records 2.92#170 0.49#209
Communicate with others about operational plans or activities 9.39#92 28#39
Direct organizational operations, activities, or procedures 1.85#204 0.36#225
Operate transportation equipment or vehicles 1.06#232 0.05#282
Cut trees or other vegetation 0.67#259 0.05#279
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Maintain operational records” holds 2 tasks rated AI + software, yet people asked AI for help with it in 2.92 of every 10,000 conversations, #170 of 332.
How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for log graders and scalers specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Log graders and scalers: -2.2%Log Graders and ScalersAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Log graders and scalers: -2.2%Log Graders and Scalers

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved in from

of 187 moves in

  1. 1 Food Service Managers Moderate +5.8% 25%
  2. 2 Inspectors, Testers, Sorters, Samplers, and Weighers Moderate +2.5% 20%
  3. 3 Financial Managers Very high +9.7% 13%
  4. 9 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 2%
  5. 10 First-Line Supervisors of Food Preparation and Serving Workers High +5.4% 2%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 11% less than high school
  • 64% high school
  • 11% postsecondary certificate
  • 12% some college
  • 2% associate's

O*NET 31.0 survey of workers in this occupation · 28 people answered.

Census survey (American Community Survey)

  • 22% less than high school
  • 58% high school
  • 13% some college
  • 2% associate's
  • 5% bachelor's

Census ACS 2024, all workers in the Census group “Logging workers” · 584 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Logging workers”

Jobs that require a credential BLS Occupational Requirements Survey 2023

BLS publishes no credential figures for this occupation.

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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