linguistic annotation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, linguistic annotation appears in 16 job postings indexed by Skillenai over the past 90 days — AI Trainer has the most postings mentioning linguistic annotation.
Last updated · 90d ending 2026-10-30
Which roles want linguistic annotation?
Upload your resume and Skillenai will show which roles your linguistic annotation experience fits, which skills you already cover, and what is missing.
Frequently asked questions about linguistic annotation
+Is linguistic annotation in demand in 2026?
Yes. linguistic annotation appears in 16 job postings indexed by Skillenai over the 90 days ending 2026-10-30. AI Trainer accounts for the most postings mentioning linguistic annotation (12.5% of all postings mentioning linguistic annotation).
+What jobs require linguistic annotation?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning linguistic annotation are AI Training Specialist (2.4% of that role’s postings mention linguistic annotation), AI Trainer (1.4% of that role’s postings mention linguistic annotation).
+What skills are commonly paired with linguistic annotation?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), linguistic annotation most often appears alongside audio transcription, translation, Grammar correction, text editing, summarization.
+Where is linguistic annotation most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring linguistic annotation are San Francisco, according to the Skillenai jobs index.
+How can I keep up with new linguistic annotation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning linguistic annotation alongside the jobs index. You can subscribe to a daily email digest of new linguistic annotation content from your Skillenai account.
+Which skills come before and after linguistic 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 linguistic annotation — last 90 days
Career paths around linguistic annotation
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before linguistic annotation
No published incoming skill pairs yet.
Skills after linguistic annotation
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.
| Connection | Moves |
|---|---|
| After: LAN connectivity | 1 |
| After: photoshop | 1 |
| After: network troubleshooting | 1 |
| After: Software troubleshooting | 1 |
| After: Microsoft Word | 1 |
| After: hardware troubleshooting | 1 |
| After: Microsoft Publisher | 1 |
Roles most likely to require linguistic annotation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Training Specialist | 1 | 2.4% |
| AI Trainer | 2 | 1.4% |
Roles with the most linguistic annotation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| AI Trainer | 2 | 12.5% |
| Language Specialist | 2 | 12.5% |
| AI Linguistic Evaluation Expert | 1 | 6.2% |
| AI Text Validation Specialist | 1 | 6.2% |
| AI Training Specialist | 1 | 6.2% |
| French Language Expert | 1 | 6.2% |
| German Language Expert | 1 | 6.2% |
| LLM Linguistic Evaluator | 1 | 6.2% |
| Language Expert | 1 | 6.2% |
| Language Expert (AI Audio Transcription) | 1 | 6.2% |
Top companies posting jobs requiring linguistic annotation
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| OpenBrain | 8 |
| YO AI Labs | 4 |
| TSMG | 2 |
| Mercor | 1 |
| Remote | 1 |
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 linguistic annotation
| Name | Postings | Share |
|---|---|---|
| San Francisco | 1 | 6.3% |
Skills commonly paired with linguistic annotation
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. 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 linguistic annotation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s linguistic annotation postings by all linguistic 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
- 6adace7da0f36230
- data_as_of
- 2026-10-30
- window_days
- 90