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Research report ยท October 2026 edition

The Market for Multilingual & Localization Work

On 31 Oct 2026, 878 roles in Multilingual & Localization were open on 30 platforms (Invisible listed 244 of them (27.8%)); their median advertised rate was $35/hr, 13% below the $40/hr of all AI training work; each open role drew 0.61x the apply clicks of the average role.

Read the month's story: The AI Training Job Market in October 2026

Provisional figures. This month is complete, but late data can still arrive until 3 Nov 2026, when the edition is frozen for good.

Data window
1 Oct 2026 to 31 Oct 2026
31 days, UTC
Computed
1 Nov 2026, 01:17 UTC
Final once frozen
Source
The public job boards of the AI training platforms this site tracks, read every hour. Apply clicks are made on AITraining.jobs; full descriptions come from the platforms whose boards publish them.
Method
Version 5. Definitions
CC BY 4.0, how to cite

Every figure on this page as CSV and JSON, sent to your work email.

Key findings

  1. 1

    30 platforms listed the 878 open roles in Multilingual & Localization; Invisible held 244 of them (27.8%) and the three largest 439 (50.0%) (HHI 1,246, unconcentrated, against 522 for all AI training work).

    Figure 3
  2. 2

    682 of the 878 open roles in Multilingual & Localization (77.7%) stated an hourly rate, with a median of $35/hr (typical pay $25 to $65), 13% below the $40/hr of all AI training work.

    Figure 4
  3. 3

    Each open role in Multilingual & Localization drew 2.07 apply clicks a week on AITraining.jobs, 0.61x the average AI training role: the 5th lowest of 12 kinds of work whose demand reads on its own.

    Figure 6
  4. 4

    160 of the 878 open roles in Multilingual & Localization (18.2%) accepted applicants from any country, against 18.5% of all AI training roles; of the 20 countries compared, residents of the United States (406), the United Kingdom (358) and India (335) could apply to the most, and residents of Palestine to the fewest (198).

    Figure 9
  5. 5

    809 of the 878 open roles in Multilingual & Localization (92.1%) name a language in their title, 95 languages in all; Spanish (37), Chinese (Mandarin, 35) and German (32) were named most.

    Figure 10
  6. 6

    Of the 840 open roles in Multilingual & Localization with a full description, 160 (19.0%) mention a PhD or master's degree, 15 (1.8%) a professional credential and 103 (12.3%) an assessment or test; the 195 stating years of experience ask for a median of 3 years.

    Figure 11
  7. 7

    Over the 31 days from 1 Oct 2026 to 31 Oct 2026, platforms listed 189 new roles in Multilingual & Localization and removed 312, and a removed role had been listed for a median of 41 days (30 across all AI training work).

    Figure 2
  8. 8

    Within Multilingual & Localization, roles listed during the window drew 1.27 apply clicks per role a week, against 2.04 for roles listed more than 12 weeks before the window.

    Figure 7

Figure 1

Open roles, week by week

Is the number of open roles in Multilingual & Localization rising or falling?

WeekOpen roles (fixed panel)Index
1 to 4 OctPartial week
723
100.6
5 to 11 OctPartial week
718
100.0
12 to 18 OctPartial week
761
98.7
19 to 25 OctPartial week
770
93.1
26 to 31 OctPartial week
626
89.6

Sample. Average open roles in Multilingual & Localization over each week's days, on the 18 platforms tracked since 1 Oct 2026 (the fixed panel; 17 of them list this work), 1 Oct 2026 to 31 Oct 2026.

The index is the panel's open roles against the week of 5 Oct 2026 (100), chained week to week, beside the same index for all AI training work on the same platforms.

This site changed how it reads 6 platforms' boards in this span (Alignerr on 14 Oct 2026; Mindrift on 14 Oct 2026 and 22 Oct 2026; OpenTrain AI on 14 Oct 2026; Handshake AI on 14 Oct 2026; Prolific on 18 Oct 2026; Outlier (Scale AI) on 30 Oct 2026). From each change to the end of its week the roles that came into view are counted as already listed, not as new listings, and the roles that left view are not counted as removals; changes in open roles are measured like for like across it, on the roles that did not move with it. Each platform's own report says what changed.

Perle Labs (first tracked 10 Oct 2026), SuperAnnotate (SME) (first tracked 10 Oct 2026), Turing (first tracked 10 Oct 2026), OneForma (first tracked 14 Oct 2026), Weekday (first tracked 18 Oct 2026), Innodata (first tracked 18 Oct 2026), Rise Data Labs (first tracked 18 Oct 2026), Volga Partners (first tracked 18 Oct 2026), Lifted (Upwork) (first tracked 18 Oct 2026), DataAnnotation (first tracked 22 Oct 2026), TELUS Digital AI (first tracked 22 Oct 2026), iMerit (first tracked 22 Oct 2026), Sama (first tracked 22 Oct 2026), RWS TrainAI Community (first tracked 22 Oct 2026) and Cohere (first tracked 25 Oct 2026) list this work but were added to the dataset later, so they are left out of the panel and counted only in the last column: a platform's arrival never reads as growth.

Every week is marked: the kind's change differs no more than chance from the rest of AI training work's, so its weeks do not read on their own.

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 2

Listings added and removed

How fast do roles in Multilingual & Localization turn over, and is the stock growing on the same platforms?

WorkOpen on 1 Oct 2026Open on 31 Oct 2026, same platformsChangeNew listings
Multilingual & LocalizationSmall sample718646
-10.1%
189
All AI training work2,6652,554
-4.2%
1,638

Sample. Roles listed from 1 Oct 2026 to 31 Oct 2026: 1,637 in Multilingual & Localization, 7,396 across all AI training work.

Change compares the roles open on the first and the last day of the window on the platforms tracked when it opened, so a platform added during the window does not read as growth.

The kind's change reads on its own (not marked) from 1940.6 roles open at the start: the weight of the rest of AI training work's change, fitted on the two.

A new listing first appeared in the window on a platform already tracked before that week; a platform's first week (its back catalogue) is not counted.

Median days listed runs from a removed role's listing date to its last sighting, for removed roles with a known listing date (at least 3; 297 here).

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 3

Who lists it

Which platforms list roles in Multilingual & Localization, and what does each advertise?

PlatformOpen rolesShare of open rolesMedian per hour
Invisible244
27.8%
$35
SuperAnnotate (SME)109
12.4%
n/a
Welo Data86
9.8%
$10
Sigma AI74
8.4%
n/a
Prolific58
6.6%
$25
DataAnnotation41
4.7%
$30
Alignerr38
4.3%
$80
Braintrust38
4.3%
$18
Turing37
4.2%
$15
Rise Data Labs34
3.9%
$30
TransPerfect DataForce19
2.2%
n/a
RWS TrainAI Community18
2.1%
$16
xAI (SpaceXAI)12
1.4%
$40
Handshake AI11
1.3%
n/a
Appen10
1.1%
n/a
TELUS Digital AI9
1.0%
$15
Lifted (Upwork)8
0.9%
n/a
Volga Partners7
0.8%
$16
OneForma6
0.7%
n/a
Innodata5
0.6%
$15
AfterQuery4
0.5%
$75
Weekday2
0.2%
n/a
Cohere1
0.1%
n/a
iMerit1
0.1%
n/a
Mercor1
0.1%
n/a
micro11
0.1%
n/a
OpenTrain AI1
0.1%
n/a
Perle Labs1
0.1%
n/a
Remotasks1
0.1%
n/a
Sama1
0.1%
n/a

Sample. 878 roles in Multilingual & Localization open at the end of 31 Oct 2026, by the platform that lists them: HHI 1,246 (unconcentrated), against 522 for all AI training work.

HHI: the sum of every platform's squared percentage share of the open roles, 0 to 10,000; under 1,500 is unconcentrated, 1,500 to 2,500 moderately and above 2,500 highly concentrated (US merger-guideline thresholds).

Shares are of listings, not of people hired or money paid: a platform posting one role per language or country weighs more here than its hiring may.

A median needs at least 3 roles stating an hourly rate.

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 4

What it pays

What do roles in Multilingual & Localization advertise per hour, against AI training work as a whole?

WorkMedian per hourTypical pay fromTypical pay toStating an hourly rate
Multilingual & Localization
$35
$25$6577.7%
All AI training work
$40
$30$12581.4%

Sample. Roles open on 31 Oct 2026: 878 in Multilingual & Localization, 682 of them stating an hourly rate; 4,381 across all AI training work.

Pay is the hourly figure a posting advertises (the middle of a stated range), counted once per distinct rate as the job board counts it. The median and typical pay are the board's: typical pay runs from the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling, stated from 3 distinct rates.

Roles paid per task or per project, or that state no figure, do not state an hourly rate.

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 5

How its rates are distributed

What share of roles in Multilingual & Localization pay $50 an hour or more?

Advertised rateOpen rolesShare of priced rolesAll AI training work
Under $15/hr68
10.0%
6.9%
$15 to $25/hr111
16.3%
10.6%
$25 to $35/hr173
25.4%
11.9%
$35 to $50/hr284
41.6%
26.0%
$50 to $75/hr21
3.1%
14.7%
$75 to $100/hr25
3.7%
15.3%
$100 to $150/hr0
0.0%
9.4%
$150/hr or more0
0.0%
5.1%

Sample. 682 roles in Multilingual & Localization open on 31 Oct 2026 that state an hourly rate, against 3,565 across all AI training work.

Each role counts once, at the middle of its advertised range. The bands are those of the pay-transparency report.

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 6

Applicant demand per open role

Do roles in Multilingual & Localization draw more or fewer applicants per opening than the average AI training role?

RolesClicks per role a weekIndex
Multilingual & Localization
2.07
0.61x
All AI training work
3.41
1.00x
Its roles stating an hourly rate
1.91
0.56x
Its roles stating no hourly rate
2.64
0.77x
Its roles open worldwide
0.34
0.10x
Its roles limited by country
2.46
0.72x

Sample. Apply clicks on a specific role on AITraining.jobs, from 1 Oct 2026 to 31 Oct 2026: 8,026 on roles in Multilingual & Localization, against the days those roles were open.

Clicks per role a week = apply clicks / (open role-days / 7). Index 1.00 is the rate of every role on the site.

Multilingual & Localization against every kind of work: Rows with fewer than 3.6 open role-days (0.5 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the kinds of work weighs more than a row's own clicks (the weight fitted on their own clicks).

Its roles by stated pay, against each other: Rows with fewer than 97.3 open role-days (13.9 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the two sides weighs more than a row's own clicks (the weight fitted on their own clicks). Its roles by reach, against each other: Rows with fewer than 3.9 open role-days (0.6 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the two sides weighs more than a row's own clicks (the weight fitted on their own clicks). All AI training work is one set, read from its first open role-day.

Apply clicks measure interest among visitors to AITraining.jobs, who see roles open in their country and recent, priced roles first. Clicks are never split by platform.

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 7

Applicant demand by listing age

Do newer roles in Multilingual & Localization draw more applicants than older ones?

Listing ageClicks per role a weekIndex (this work = 1)
Listed during the window
1.27
0.61x
Listed up to 4 weeks before it
3.67
1.77x
Listed 4 to 12 weeks before it
2.38
1.15x
Listed more than 12 weeks before it
2.04
0.98x
Listing date unknown
0.71
0.34x

Sample. Apply clicks on roles in Multilingual & Localization, from 1 Oct 2026 to 31 Oct 2026, by when each role was listed relative to the window's first day (1 Oct 2026).

Listing date: the date the job board gives for the posting, or else the first day the role appeared in the feed. A role that arrived with a platform's back catalogue and gives no date has none.

The index divides each row's rate by the rate of all roles in this kind of work, so it reads within the kind.

Rows with fewer than 12.4 open role-days (1.8 role-weeks) are marked as a small sample and not ranked: below that the pooled rate of the listing ages weighs more than a row's own clicks (the weight fitted on their own clicks).

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 8

Who may apply: location rules

Can people apply to roles in Multilingual & Localization from anywhere?

Location ruleOpen rolesShare of its open rolesAll AI training work
Open worldwide160
18.2%
18.5%
Worldwide except listed countries62
7.1%
18.1%
Only listed countries656
74.7%
63.0%
No rule stated0
0.0%
0.4%

Sample. 878 roles in Multilingual & Localization open at the end of 31 Oct 2026, against 4,381 across all AI training work.

The rule is read from each posting's location text, then, where that names no country, from what the posting's own description states, and where both are silent from what the platform states about where it hires.

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 9

Who may apply: roles open to each country

How many roles in Multilingual & Localization can a resident of each country apply to?

CountryOpen rolesShare of its open roles
Any country (worldwide roles only)
160
18.2%
United States
406
46.2%
United Kingdom
358
40.8%
India
335
38.2%
Germany
259
29.5%
Indonesia
248
28.2%
Japan
248
28.2%
South Korea
245
27.9%
Saudi Arabia
241
27.4%
Brazil
238
27.1%
Egypt
236
26.9%
Chile
230
26.2%
Philippines
217
24.7%
Pakistan
217
24.7%
Bangladesh
214
24.4%
Argentina
210
23.9%
Colombia
206
23.5%
Cambodia
204
23.2%
Nigeria
204
23.2%
Ghana
203
23.1%
Palestine
198
22.6%

Sample. 878 roles in Multilingual & Localization open at the end of 31 Oct 2026, for residents of a fixed set of 20 countries.

A country's count is the roles open worldwide (including roles that state no rule, as on the job board), plus roles whose list names it, plus roles whose exclusion list does not.

The 20 countries are the same in every report of this series: those named most often by the location rules of open AI training roles on 9 Oct 2026, either as the only countries accepted or as excluded.

Median pay is over the roles open to that country that state an hourly rate (at least 3).

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 10

Languages asked for

Which languages do roles in Multilingual & Localization ask for?

LanguageOpen rolesShare of its open roles
Spanish
37
4.2%
Chinese (Mandarin)
35
4.0%
German
32
3.6%
Korean
32
3.6%
Japanese
31
3.5%
Arabic
29
3.3%
French
28
3.2%
English
26
3.0%
Portuguese
25
2.8%
Dutch
21
2.4%
Bengali
18
2.1%
Italian
18
2.1%
Hindi
17
1.9%
Russian
17
1.9%
Indonesian
16
1.8%
Marathi
16
1.8%
Tamil
16
1.8%
Vietnamese
16
1.8%
Telugu
15
1.7%
Thai
15
1.7%

Sample. 809 of the 878 roles in Multilingual & Localization open on 31 Oct 2026 name a language in their title (92.1%); 95 languages are named, the 20 most frequent shown.

A role counts for a language when its title names it; a role naming two languages counts for both. English counts only where the title names it.

Median pay needs at least 3 roles stating an hourly rate.

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

Figure 11

What the descriptions ask for

Do roles in Multilingual & Localization ask for degrees, credentials, experience or tests?

RequirementRolesShare of described roles
Mentions a PhD66
7.9%
Mentions a PhD or master's160
19.0%
Mentions any degree315
37.5%
Mentions a professional credential15
1.8%
States years of experience195
23.2%
Asks for 5 years or more74
8.8%
States weekly hours102
12.1%
Mentions an assessment or test103
12.3%
Mentions an AI-led or video interview62
7.4%
Mentions a background check2
0.2%

Sample. 840 roles in Multilingual & Localization open on 31 Oct 2026 whose job board publishes a full description (AfterQuery, Appen, Braintrust, Cohere, DataAnnotation, Handshake AI, iMerit, Innodata, Invisible, Lifted (Upwork), Mercor, micro1, OneForma, OpenTrain AI, Perle Labs, Prolific, Remotasks, Rise Data Labs, RWS TrainAI Community, Sama, Sigma AI, SuperAnnotate (SME), TELUS Digital AI, TransPerfect DataForce, Turing, Volga Partners, Weekday, Welo Data and xAI (SpaceXAI)), 95.7% of its open roles; 4,000 described roles across all AI training work.

A mention can be a requirement or a preference ('a PhD is a plus'): the figure counts both. The patterns are those of the requirements report.

Only some platforms publish full descriptions, so this figure describes their roles, not every platform's.

A kind of work's figure is shown when its described roles outweigh the average of the kinds (5.8 described roles: the weight of every kind's shares around the shares of all described roles, fitted on their own counts).

Source. AITraining.jobs Research, The Market for Multilingual & Localization Work, October 2026 edition.

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Method and definitions

The public job boards of the AI training platforms this site tracks, read every hour. Apply clicks are made on AITraining.jobs; full descriptions come from the platforms whose boards publish them. Every figure is computed by one database query over the window shown, the same query for the live report and for every edition. Each figure states its sample beneath it.

Kind of work
Each role is classified from its title and description into one of the twelve kinds of AI training work this site tracks; this report counts the roles classified as Multilingual & Localization.
Fixed panel
The platforms already tracked when the weekly series opens. The index follows their open roles, so a platform added later (such as OpenTrain AI and Welo Data in September 2026) never reads as growth.
Index
The panel's average open roles in a week, divided by the same in the base week, times 100; shown beside the same index for all AI training work on the same platforms.
Open role
A role listed by a given day and still in its platform's feed that day.
New listing
A role that first appeared during the window on a platform already tracked before that week. A platform's first week in this dataset is its back catalogue and is not counted as new. When this site changes how it reads a platform's board (a cap lifted, a page kind or department read too, a relevance rule changed), the roles that came into view or left it from that change to the end of its week are this site's reading, not the platform's hiring: they are not new listings or removals, and changes in open roles are measured like for like across it. Each platform's report says what changed.
Removed listing
A role that left its platform's feed during the window.
Days listed
From a removed role's listing date to the last day it was seen in its feed. A median needs at least 3 removed roles.
HHI
Herfindahl-Hirschman Index: the sum of every platform's squared percentage share of open roles, 0 to 10,000. Under 1,500 unconcentrated, 1,500 to 2,500 moderately, above 2,500 highly concentrated.
Advertised pay
The hourly figure a posting states (the middle of a stated range), counted once per distinct rate as the job board counts it. The median and typical pay are the board's: typical pay runs from the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling, stated from 3 distinct rates.
Clicks per open role a week
Apply clicks on AITraining.jobs on a specific role, divided by the days the roles were open, times 7.
Demand index
Clicks per open role a week divided by the same rate across every role on the site. Above 1, the roles draw more applicants than the average role.
Listing age
When a role was listed relative to the window's first day: during the window, up to 4 weeks before it, 4 to 12 weeks before or longer. The listing date is the job board's posting date, or else the first day the role appeared in the feed.
Location rule
Read from each posting's location text and, where that names no country, from what the posting's own description states: open worldwide, worldwide except listed countries, only listed countries, or no rule stated.
Open to a country
A role is open to residents of a country if it is open worldwide, its list names the country, or its exclusion list does not. The 20 countries compared are the same in every report of the series.
Window
Live: the last 28 complete days, in UTC, and the last twelve complete ISO weeks (from the week of 3 Aug 2026 at the earliest) for the weekly series. Edition: one calendar month, in UTC, and its weeks.

What this data cannot tell you

  • Platforms that recruit without a public job board are not counted. Several large ones invite workers to projects directly.
  • A listing is not a hire. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
  • Apply clicks measure interest among the people who use AITraining.jobs, and what is shown first gets clicked more. Clicks are never published by platform.
  • Full descriptions are published by a few platforms only, so the requirements figure describes their roles and appears only when this kind's described roles read on their own against the other kinds' (the weight of every kind's shares around the shares of all described roles, fitted on their own counts).
  • A kind of work with few open roles gives figures that move with a handful of postings: rows on too little data are marked as a small sample.

How the job feeds are read and roles are classified: site methodology. How fresh, complete and consistent the data is, checked every day: data quality and coverage.

Editions

The live report covers the last 28 complete days and changes every day. Each complete month is also published as an edition, frozen two days after the month ends, so a figure you cite from an edition never moves.

Cite and reuse

Free to quote, chart and republish under CC BY 4.0 with a link to this page. This edition is frozen, so its figures will read the same later.

Citation

AITraining.jobs (2026). The Market for Multilingual & Localization Work, October 2026 edition. https://aitraining.jobs/research/multilingual-ai-training-market/2026-10

BibTeX

@misc{aitrainingjobs_multilingual_ai_training_market_2026_10,
  author = {{AITraining.jobs}},
  title = {The Market for Multilingual & Localization Work, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/multilingual-ai-training-market/2026-10}},
}
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