Salaries

AI Annotation Lead Salary.

Across 81 U.S. cities.

$55,000

estimated national base salary

$49,000 to $63,000. Last updated September 2026.

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Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $41,340 for Data Entry Keyers (SOC 43-9021) across the United States, based on 127,080 employed workers (May 2025 release).

10th percentile

$31,200

25th percentile

$35,760

Median

$41,340

75th percentile

$48,410

90th percentile

$58,790

Workers surveyed

127,080

What BLS published in each release

May 2024 release

$39,850

May 2025 release

$41,340

These are two separate published estimates, not a time series. The Bureau of Labor Statistics does not encourage the use of OEWS data for time-series analysis. Differences between releases reflect changes in occupational classification, survey methodology, and the three-year pooled sample as well as any change in pay, so the two figures should not be read as a rate of wage growth.

Why this differs from the estimate above. The Orbyt estimate of $55,000 is 33% higher than this published figure. That is usually not an error in either number: BLS reports by occupation code, and Data Entry Keyers covers a different population than the AI Annotation Lead title as it is typically advertised. Both are shown, unreconciled, so you can judge which one describes the job you mean.

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Data Entry Keyers (SOC 43-9021) rather than AI Annotation Lead specifically. The national range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 43-9021

Highest Paying

$75,000

San Jose, CA

Best Purchasing Power

$58,000

Pittsburgh, PA

Lowest Paying

$44,000

Charleston, WV

The salary figures on this page are computed estimates, not observed wages. Each one is a national role baseline scaled by a Bureau of Economic Analysis Regional Price Parity cost-of-living multiplier (2025 index) and rounded to the nearest $1,000. No published wage percentile is consulted and no wage survey response enters the calculation, so an Orbyt estimate must not be cited as a Bureau of Labor Statistics figure or as measured pay. The published wage data Orbyt holds is Bureau of Labor Statistics Occupational Employment and Wage Statistics, and Department of Labor H-1B Labor Condition Application filings, which record a filed minimum visa base wage rather than market pay. Where BLS publishes a wage for the occupation a role maps to, it is shown on that role's page as a separate benchmark, labelled with its occupation code, metro area and the number of employed workers it covers. Last updated September 2026. This role maps to BLS occupation code 43-9021. Full methodology.

Orbyt estimates the average AI Annotation Lead salary in the United States at $55,000 in 2026, within a range of $49,000 to $63,000. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page. San Jose is the highest of the 81 cities at $75,000, while Pittsburgh offers the best purchasing power after cost-of-living adjustments. AI annotation leads manage labeling teams and define annotation guidelines for ML training data.

AI Annotation Lead salary by city.

Salary comparison across 81 cities
CityMedianRangeCOLAdjustedRank
San Jose, CA$75,000$67,000 to $86,0001.38x$54,000#3415 of 3445
San Francisco, CA$73,000$65,000 to $83,0001.35x$54,000#3415 of 3445
Honolulu, HI$71,000$63,000 to $81,0001.30x$55,000#3415 of 3445
New York, NY$70,000$63,000 to $81,0001.28x$55,000#3415 of 3445
Seattle, WA$70,000$62,000 to $80,0001.24x$56,000#3410 of 3445
Washington DC, DC$69,000$61,000 to $79,0001.25x$55,000#3414 of 3445
Arlington, VA$68,000$60,000 to $78,0001.22x$56,000#3414 of 3445
Newark, NJ$67,000$60,000 to $77,0001.18x$57,000#3412 of 3445
Boston, MA$66,000$59,000 to $75,0001.22x$54,000#3416 of 3445
San Diego, CA$66,000$59,000 to $76,0001.17x$56,000#3412 of 3445
Princeton, NJ$66,000$59,000 to $75,0001.15x$57,000#3409 of 3445
Jersey City, NJ$65,000$58,000 to $74,0001.20x$54,000#3414 of 3445
Los Angeles, CA$64,000$57,000 to $73,0001.18x$54,000#3415 of 3445
Boulder, CO$64,000$57,000 to $73,0001.15x$56,000#3414 of 3445
Miami, FL$63,000$57,000 to $73,0001.12x$56,000#3409 of 3445
Anchorage, AK$63,000$56,000 to $72,0001.13x$56,000#3414 of 3445
Portland, OR$62,000$55,000 to $71,0001.10x$56,000#3410 of 3445
Baltimore, MD$62,000$55,000 to $71,0001.08x$57,000#3406 of 3445
Hartford, CT$61,000$55,000 to $70,0001.08x$56,000#3413 of 3445
Chicago, IL$60,000$53,000 to $69,0001.07x$56,000#3412 of 3445
Denver, CO$59,000$52,000 to $67,0001.08x$55,000#3415 of 3445
Portland, ME$59,000$52,000 to $67,0001.05x$56,000#3411 of 3445
Manchester, NH$59,000$52,000 to $67,0001.06x$56,000#3412 of 3445
Burlington, VT$59,000$53,000 to $68,0001.06x$56,000#3413 of 3445
Sacramento, CA$59,000$53,000 to $68,0001.10x$54,000#3415 of 3445
Philadelphia, PA$58,000$52,000 to $67,0001.09x$53,000#3417 of 3445
Minneapolis, MN$58,000$52,000 to $67,0001.05x$55,000#3414 of 3445
Atlanta, GA$57,000$51,000 to $66,0001.02x$56,000#3413 of 3445
Wilmington, DE$56,000$49,000 to $64,0001.02x$55,000#3413 of 3445
Virginia Beach, VA$56,000$49,000 to $64,0000.98x$57,000#3409 of 3445
Ann Arbor, MI$56,000$50,000 to $64,0001.02x$55,000#3415 of 3445
Austin, TX$55,000$49,000 to $63,0001.03x$53,000#3417 of 3445
Providence, RI$55,000$49,000 to $63,0001.04x$53,000#3415 of 3445
Albany, NY$55,000$49,000 to $63,0000.96x$57,000#3412 of 3445
Dallas, TX$54,000$49,000 to $62,0001.01x$53,000#3416 of 3445
Houston, TX$54,000$48,000 to $62,0000.97x$56,000#3413 of 3445
Las Vegas, NV$54,000$48,000 to $62,0000.96x$56,000#3413 of 3445
Richmond, VA$54,000$48,000 to $62,0001.01x$53,000#3417 of 3445
Nashville, TN$53,000$48,000 to $61,0001.00x$53,000#3418 of 3445
Charlotte, NC$53,000$47,000 to $60,0000.97x$55,000#3415 of 3445
Raleigh, NC$53,000$48,000 to $61,0000.99x$54,000#3414 of 3445
Pittsburgh, PA$53,000$47,000 to $60,0000.92x$58,000#3407 of 3445
Tampa, FL$53,000$47,000 to $60,0000.96x$55,000#3414 of 3445
Salt Lake City, UT$52,000$46,000 to $59,0000.98x$53,000#3416 of 3445
Boise, ID$52,000$46,000 to $59,0000.95x$55,000#3414 of 3445
New Orleans, LA$52,000$46,000 to $59,0000.92x$57,000#3410 of 3445
Charleston, SC$52,000$46,000 to $59,0000.98x$53,000#3416 of 3445
Phoenix, AZ$51,000$46,000 to $59,0000.96x$53,000#3417 of 3445
Columbus, OH$51,000$45,000 to $58,0000.93x$55,000#3416 of 3445
Kansas City, MO$51,000$46,000 to $59,0000.93x$55,000#3415 of 3445
Milwaukee, WI$51,000$45,000 to $58,0000.91x$56,000#3414 of 3445
Columbus, OH$51,000$45,000 to $58,0000.93x$55,000#3412 of 3445
Orlando, FL$51,000$46,000 to $59,0000.95x$54,000#3416 of 3445
San Antonio, TX$51,000$45,000 to $58,0000.91x$56,000#3414 of 3445
Madison, WI$51,000$46,000 to $59,0000.95x$54,000#3414 of 3445
Reno, NV$51,000$45,000 to $58,0000.96x$53,000#3416 of 3445
Columbia, SC$51,000$46,000 to $59,0000.90x$57,000#3411 of 3445
North Charleston, SC$51,000$46,000 to $59,0000.94x$54,000#3416 of 3445
Detroit, MI$50,000$45,000 to $58,0000.90x$56,000#3412 of 3445
Indianapolis, IN$50,000$45,000 to $57,0000.91x$55,000#3416 of 3445
St. Louis, MO$50,000$44,000 to $57,0000.90x$56,000#3412 of 3445
Cincinnati, OH$49,000$44,000 to $56,0000.90x$54,000#3414 of 3445
Baton Rouge, LA$49,000$44,000 to $57,0000.88x$56,000#3414 of 3445
Spokane, WA$49,000$44,000 to $56,0000.92x$53,000#3417 of 3445
Birmingham, AL$48,000$42,000 to $55,0000.84x$57,000#3407 of 3445
Albuquerque, NM$48,000$43,000 to $55,0000.88x$55,000#3415 of 3445
Des Moines, IA$48,000$43,000 to $55,0000.86x$56,000#3413 of 3445
Louisville, KY$47,000$42,000 to $54,0000.88x$53,000#3415 of 3445
Sioux Falls, SD$47,000$42,000 to $54,0000.85x$55,000#3413 of 3445
Lexington, KY$47,000$42,000 to $54,0000.86x$55,000#3415 of 3445
Knoxville, TN$47,000$42,000 to $54,0000.89x$53,000#3418 of 3445
Tulsa, OK$47,000$42,000 to $54,0000.83x$57,000#3408 of 3445
Des Moines, IA$46,000$41,000 to $53,0000.86x$53,000#3414 of 3445
Omaha, NE$46,000$41,000 to $53,0000.88x$52,000#3416 of 3445
Oklahoma City, OK$46,000$41,000 to $52,0000.84x$55,000#3414 of 3445
Cheyenne, WY$46,000$41,000 to $53,0000.87x$53,000#3417 of 3445
Wichita, KS$45,000$40,000 to $51,0000.82x$55,000#3413 of 3445
Jackson, MS$45,000$40,000 to $52,0000.79x$57,000#3408 of 3445
Fargo, ND$45,000$40,000 to $51,0000.85x$53,000#3416 of 3445
Little Rock, AR$44,000$39,000 to $50,0000.82x$54,000#3416 of 3445
Charleston, WV$44,000$39,000 to $50,0000.78x$56,000#3412 of 3445

Skills that increase AI Annotation Lead pay.

The premiums below are Orbyt's modelled scenarios for AI Annotation Leads, not effects measured from job postings: each is a fixed percentage applied to the estimated base. At the top premium that works out to $7,700 a year.

LLM Fine-Tuning+14%

≈ +$7,700 per year

Reinforcement Learning+13%

≈ +$7,150 per year

CUDA+12%

≈ +$6,600 per year

RAG (Retrieval-Augmented Generation)+11%

≈ +$6,050 per year

Transformers+10%

≈ +$5,500 per year

Rust+10%

≈ +$5,500 per year

Vector Databases+10%

≈ +$5,500 per year

PyTorch+9%

≈ +$4,950 per year

What you should know.

AI annotation leads manage labeling teams and define annotation guidelines for ML training data. Salary variance is driven by domain complexity, with medical imaging and autonomous driving annotation commanding 20 to 30% premiums over general text or image labeling. Team size and ability to maintain quality at scale also influence compensation.

Junior annotation leads start at $72,000 to $85,000. Leads managing teams of 10 to 30 annotators earn $98,000 to $132,000. Senior leads and annotation operations managers reach $138,000 to $180,000, while directors of annotation operations at large AI data companies can command $185,000 to $240,000.

AI startups offer equity of 0.02 to 0.1% for annotation leads. Annual bonuses range from 5 to 12%. Some companies provide project completion bonuses of $3,000 to $10,000 for delivering high-quality annotated datasets on schedule for critical model training milestones.

Total compensation breakdown.

Base Salary
$55,000
Equity / Year
$25,000
Annual Bonus
15%
$8,000
Signing Bonus
$10,000
Total Comp
$88,000

Salary by company size

Startup
< 50 employees
$50,000
Growth
50-500 employees
$52,000
Scale-up
500-5K employees
$55,000
Public
5K+ employees
$66,000

Remote salary adjustment

Remote AI Annotation Leads typically earn $51,000 (7% less than on-site). This reflects location-adjusted pay policies at companies using geographic salary bands. Some companies pay flat national rates regardless of location.

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Related.

Common questions about AI Annotation Lead pay.

Orbyt estimates the national median AI Annotation Lead salary at $55,000 in 2026, within a range of $49,000 to $63,000. This is a computed estimate, not a measured wage. Where you land depends on your experience, skills, the company's size, and your location.

Entry level AI Annotation Leads (0 to 2 years) typically earn $36,000 to $44,000. Mid level (3 to 5 years) run $47,000 to $58,000. Senior (6 to 9 years) reach $61,000 to $72,000, and lead level (10 plus years) $69,000 to $85,000.

With a national median of $55,000 and senior pay reaching $72,000 to $85,000, AI Annotation Lead is a well compensated field. Pay varies by city, so compare cost of living adjusted numbers before judging any single offer.

Entry level AI Annotation Lead roles start around $36,000 to $44,000. Candidates with strong internships, certifications, or portfolio work often negotiate toward the national median of $55,000.

AI startups offer equity of 0.02 to 0.1% for annotation leads. Annual bonuses range from 5 to 12%. Some companies provide project completion bonuses of $3,000 to $10,000 for delivering high-quality annotated datasets on schedule for critical model training milestones.

AI annotation leads manage labeling teams and define annotation guidelines for ML training data. Salary variance is driven by domain complexity, with medical imaging and autonomous driving annotation commanding 20 to 30% premiums over general text or image labeling. Team size and ability to maintain quality at scale also influence compensation.

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