Image annotation jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, Image annotation appears in 84 job postings indexed by Skillenai over the past 90 days — AI Data Annotator has the most postings mentioning Image annotation.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
84
Top role · 23.8% of skill postings
Top hiring metro
San Francisco

Which roles want Image annotation?

Upload your resume and Skillenai will show which roles your Image annotation experience fits, which skills you already cover, and what is missing.

Prepare to discuss Image annotation in your interview

We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used Image annotation.

Join the mock interview waitlist →AI or human interviews. Coming soon.

Frequently asked questions about Image annotation

+Is Image annotation in demand in 2026?

Yes. Image annotation appears in 84 job postings indexed by Skillenai over the 90 days ending 2026-09-30. AI Data Annotator accounts for the most postings mentioning Image annotation (23.8% of all postings mentioning Image annotation).

+What jobs require Image annotation?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning Image annotation are AI Data Annotator (90.9% of that role’s postings mention Image annotation), Generative AI Analyst (4.8% of that role’s postings mention Image annotation), AI Trainer (1.0% of that role’s postings mention Image annotation).

+What skills are commonly paired with Image annotation?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Image annotation most often appears alongside Large language models (LLMs), audio annotation, prompt creation, digital tools, prompt testing.

+Where is Image annotation most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Image annotation are San Francisco, East Hartford, Home, London, Marina del Rey, according to the Skillenai jobs index.

+How can I keep up with new Image annotation content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Image annotation alongside the jobs index. You can subscribe to a daily email digest of new Image annotation content from your Skillenai account.

+Which skills come before and after Image annotation?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring Image annotation — last 90 days

Career paths around Image annotation

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Image annotation

Before Image annotationcolor uniformity application → Image annotation: 1 observed employer moves with this skill pairAngular-Electron → Image annotation: 1 observed employer moves with this skill pairWindows → Image annotation: 1 observed employer moves with this skill pairPrinting → Image annotation: 1 observed employer moves with this skill pairREST APIs → Image annotation: 1 observed employer moves with this skill pairElectron addon → Image annotation: 1 observed employer moves with this skill pairexploratory data analysis (EDA) → Image annotation: 1 observed employer moves with this skill pairmachine learning model → Image annotation: 1 observed employer moves with this skill pairImageannotationcolor uniformity application: 1 movescolor uniformityapplication1 movesAngular-Electron: 1 movesAngular-Electron1 movesWindows: 1 movesWindows1 movesPrinting: 1 movesPrinting1 movesREST APIs: 1 movesREST APIs1 movesElectron addon: 1 movesElectron addon1 movesexploratory data analysis (EDA): 1 movesexploratory dataanalysis (EDA)1 movesmachine learning model: 1 movesmachine learningmodel1 moves

Skills after Image annotation

After Image annotationImage annotation → Windows: 1 observed employer moves with this skill pairImage annotation → GRE: 1 observed employer moves with this skill pairImage annotation → loss prevention: 1 observed employer moves with this skill pairImage annotation → sql: 1 observed employer moves with this skill pairImage annotation → data accuracy: 1 observed employer moves with this skill pairImage annotation → reports: 1 observed employer moves with this skill pairImage annotation → Sales reports: 1 observed employer moves with this skill pairImage annotation → printers: 1 observed employer moves with this skill pairImageannotationWindows: 1 movesWindows1 movesGRE: 1 movesGRE1 movesloss prevention: 1 movesloss prevention1 movessql: 1 movessql1 movesdata accuracy: 1 movesdata accuracy1 movesreports: 1 movesreports1 movesSales reports: 1 movesSales reports1 movesprinters: 1 movesprinters1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: color uniformity application1
Before: Angular-Electron1
Before: Windows1
Before: Printing1
Before: REST APIs1
Before: Electron addon1
Before: exploratory data analysis (EDA)1
Before: machine learning model1
After: Windows1
After: GRE1
After: loss prevention1
After: sql1
After: data accuracy1
After: reports1
After: Sales reports1
After: printers1

Roles most likely to require Image annotation

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI Data Annotator2090.9%
Generative AI Analyst14.8%
AI Trainer41.0%
Full Stack Engineer30.2%
Machine Learning Engineer10.0%
Data Analyst10.0%

Roles with the most Image annotation postings

RolePostings mentioning skillShare of skill postings
AI Data Annotator2023.8%
AI Data Contributor1214.3%
AI Content Contributor56.0%
AI Trainer44.8%
Full Stack Engineer33.6%
ML Data Associate33.6%
Data Annotator22.4%
Robotics Technician22.4%
AI Data Labeler11.2%
AI Data Specialist11.2%

Top companies posting jobs requiring Image annotation

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Image annotation
CompanyPostings · 90 days
Welo Data45
Weloglobal10
Amazon3
Optura3
Meridiam3
Roboflow3
Scale AI2
OpenBrain2
WeRide1
KICKSTART VISION TO REALITY PRIVATE LIMITED1

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for Image annotation

NamePostingsShare
San Francisco22.4%
East Hartford11.2%
Home11.2%
London11.2%
Marina del Rey11.2%
Paris11.2%
Vientiane11.2%
Washington11.2%

Skills commonly paired with Image annotation

Get a daily email digest of new Image annotation content

Skillenai indexes news articles, blog posts, and research papers that mention Image annotation. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).

Explore related pages

How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Image annotation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Image annotation postings by all Image annotation postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
47b2aee0da04dc0e
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Image annotation?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

Skillenai for recruiters →
Compiled by Jared Rand · Data sourced from the Skillenai labor market index