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

As of 2026-09-30, data annotation appears in 609 job postings indexed by Skillenai over the past 90 days — AI Trainer has the most postings mentioning data annotation.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
609
Top role · 5.4% of skill postings
Top hiring metro
Leisure World

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Frequently asked questions about data annotation

+Is data annotation in demand in 2026?

Yes. data annotation appears in 609 job postings indexed by Skillenai over the 90 days ending 2026-09-30. AI Trainer accounts for the most postings mentioning data annotation (5.4% of all postings mentioning data annotation).

+What jobs require data 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 data annotation are AI Quality Analyst (91.7% of that role’s postings mention data annotation), Data Labeling Analyst (80.8% of that role’s postings mention data annotation), AI Response Evaluator (70.4% of that role’s postings mention data annotation).

+What skills are commonly paired with data annotation?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), data annotation most often appears alongside data labeling, quality assurance, Python, model evaluation, machine learning.

+Where is data annotation most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring data annotation are Leisure World, Mountain View, Bucharest, San Francisco, London, according to the Skillenai jobs index.

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

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

+Which skills come before and after data 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 data annotation — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around data annotation

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data annotation

Before data annotationpython → data annotation: 3 observed employer moves with this skill pairsql → data annotation: 3 observed employer moves with this skill pairdata governance → data annotation: 2 observed employer moves with this skill pairInstagram → data annotation: 2 observed employer moves with this skill pairsystem management → data annotation: 1 observed employer moves with this skill pairaudiovisual (A/V) equipment → data annotation: 1 observed employer moves with this skill pairscikit-learn → data annotation: 1 observed employer moves with this skill pairAccess controls → data annotation: 1 observed employer moves with this skill pairdataannotationpython: 3 movespython3 movessql: 3 movessql3 movesdata governance: 2 movesdata governance2 movesInstagram: 2 movesInstagram2 movessystem management: 1 movessystem management1 movesaudiovisual (A/V) equipment: 1 movesaudiovisual (A/V)equipment1 movesscikit-learn: 1 movesscikit-learn1 movesAccess controls: 1 movesAccess controls1 moves

Skills after data annotation

After data annotationdata annotation → python: 2 observed employer moves with this skill pairdata annotation → sql: 2 observed employer moves with this skill pairdata annotation → Modao: 1 observed employer moves with this skill pairdata annotation → AUC: 1 observed employer moves with this skill pairdata annotation → a/b testing: 1 observed employer moves with this skill pairdata annotation → robustness: 1 observed employer moves with this skill pairdata annotation → MYSQL: 1 observed employer moves with this skill pairdata annotation → RESTful web APIs: 1 observed employer moves with this skill pairdataannotationpython: 2 movespython2 movessql: 2 movessql2 movesModao: 1 movesModao1 movesAUC: 1 movesAUC1 movesa/b testing: 1 movesa/b testing1 movesrobustness: 1 movesrobustness1 movesMYSQL: 1 movesMYSQL1 movesRESTful web APIs: 1 movesRESTful web APIs1 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: python3
Before: sql3
Before: data governance2
Before: Instagram2
Before: system management1
Before: audiovisual (A/V) equipment1
Before: scikit-learn1
Before: Access controls1
After: python2
After: sql2
After: Modao1
After: AUC1
After: a/b testing1
After: robustness1
After: MYSQL1
After: RESTful web APIs1

Roles most likely to require data annotation

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

RolePostings mentioning skill% of role postings mentioning skill
AI Quality Analyst2291.7%
Data Labeling Analyst2180.8%
AI Response Evaluator1970.4%
Generative AI Analyst1466.7%
AI Training Specialist820.5%
AI Evaluation Expert513.9%
Quality Assurance Lead1213.3%
AI Evaluator311.1%
Perception Engineer210.0%
AI Training Expert69.2%

Roles with the most data annotation postings

RolePostings mentioning skillShare of skill postings
AI Trainer335.4%
AI Quality Analyst223.6%
Data Labeling Analyst213.4%
AI Response Evaluator193.1%
Software Engineer183.0%
Generative AI Analyst142.3%
Quality Assurance Lead122.0%
AI Evaluation Specialist101.6%
Data Quality Assurance Analyst101.6%
Technical Program Manager101.6%

Top companies posting jobs requiring data annotation

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

Top companies posting jobs requiring data annotation
CompanyPostings · 90 days
OpenBrain207
Rws24
Weloglobal23
Welo Data23
TikTok20
Neura Robotics9
Nuro8
Mercor8
Innodata7
Globalcareers-rws6

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 data annotation

NamePostingsShare
Leisure World193.1%
Mountain View193.1%
Bucharest183.0%
San Francisco132.1%
London101.6%
New York City81.3%
San Jose81.3%
Sunnyvale81.3%
Palo Alto71.1%

Skills commonly paired with data annotation

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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 data annotation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data annotation postings by all data 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
a7ccce47304a1548
data_as_of
2026-09-30
window_days
90
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Compiled by Jared Rand · Data sourced from the Skillenai labor market index