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Research report ยท October 2026 edition

Appen Hiring Data

On 31 Oct 2026, Appen listed 42 open AI training roles (1.0% of the market, the 27th largest of 62 platforms), 66.7% of them in Transcription, Audio & Speech; 11.9% stated an hourly rate, at a median of $25/hr, and 85.7% accepted applicants only from listed countries, most often the United States.

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, 01:50 UTC
Final once frozen
Source
The public job boards of the AI training platforms this site tracks, read every hour. Appen's figures come from its own public listings only; full descriptions and application forms are read where its job board publishes 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

    Appen listed 42 open roles on 31 Oct 2026, 1.0% of the 4,381 open across the 62 platforms AITraining.jobs reads, the 27th most.

    Figure 1
  2. 2

    Counted at the end of each week, Appen went from 34 open roles on 4 Oct 2026 to 42 on 31 Oct 2026 (+23.5%); the highest count was 55 on 18 Oct 2026.

    Figure 2
  3. 3

    66.7% of its open roles are in Transcription, Audio & Speech, where Appen holds 4.4% of all open roles, the 9th largest share of 31 platforms; it lists 5 of the 12 kinds of work with open roles.

    Figure 3
  4. 4

    On 31 Oct 2026, 11.9% of its open roles stated an hourly rate. Their 5 distinct advertised rates have a median of $25/hr and typical pay of $4 to $40/hr, against a median of $40/hr across other platforms' rates.

    Figure 4
  5. 5

    In Transcription, Audio & Speech, the one kind of work where both Appen and other platforms state enough rates to compare, its median is $35/hr against $30/hr (+20.0%).

    Figure 4
  6. 6

    11.9% of its open roles are open to applicants in any country (18.6% on other platforms); 85.7% are limited to listed countries, most often the United States (named by 13.9%); 2.4% state no rule.

    Figure 6
  7. 7

    From 1 Oct 2026 to 31 Oct 2026, Appen posted 34 new listings and removed 24 (listed a median of 26.4 days before removal, against 30 days on other platforms); its open roles went from 32 to 42 (+31.3%).

    Figure 8
  8. 8

    Of the 42 roles Appen lists with a full description, 0.0% mention a PhD or master's degree, 0.0% a professional credential and 0.0% an assessment or test (other platforms with descriptions: 25.4%, 16.8% and 20.2%).

    Figure 12

Figure 1

Appen against the other platforms

How does Appen compare with the rest of the market on size, pay, reach and turnover?

MeasureAppenOther platformsIts rank (1 = highest)
Open roles on 31 Oct 2026424,33927th of 62
Share of all open roles1.0%99.0%27th of 62
New listings in the window341,6049th of 62
Kinds of work listed512joint 26th of 62
Open roles stating an hourly rate11.9%82.0%49th of 62
Median advertised pay$25/hr$40/hrjoint 27th of 37
Open roles accepting any country11.9%18.6%19th of 62
Median days listed, removed roles26.4 days30 days20th of 26

Sample. 42 roles Appen listed open at the end of 31 Oct 2026, beside the 4,339 open on the other 61 platforms AITraining.jobs reads; listings from 1 Oct 2026 to 31 Oct 2026.

Other platforms: every other platform read over the same window, pooled (counts are summed, medians are taken over all their distinct rates together).

Pay is measured as on the job board: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20), as on every list.

Rank among the 62 platforms with open roles. A share is ranked where the platform's open roles outweigh the average of the platforms it leans on, the weight fitted on every platform's own count (here 0.8 open roles for stating a rate, 0.4 open roles for accepting any country); a pay median needs 3 distinct advertised rates and days listed 3 removed roles with a known listing date. A platform below one is not ranked on it. Days listed rank longest first.

Listings only: what the platform's public job board shows.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 2

Open roles at Appen, week by week

Is Appen listing more AI training roles or fewer?

WeekOpen roles, like for like (first week = 100)Open at the end of the week, as readNew listings
1 to 4 OctPartial week
100.0
342
5 to 11 Oct
132.4
4513
12 to 18 Oct
161.8
5516
19 to 25 Oct
158.8
540
26 to 31 OctPartial week
123.5
423

Sample. Listings by Appen, by ISO week (Monday to Sunday, UTC), 1 Oct 2026 to 31 Oct 2026; 5 weeks tracked.

Open roles are counted at the end of each week (Sunday, UTC), or at the end of the window for a week it cuts. New listings leave out roles that came with the platform's back catalogue.

Like for like: open roles against the first week with open roles (100), measured across any change in what AITraining.jobs reads of the board on the roles that neither came into view nor left it with the change, so our reading never reads as hiring.

A week the window cuts is labelled with the days it covers and marked as partial.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 3

What Appen hires for

Which kinds of AI training work does Appen list, and how much of each market does it hold?

Kind of workOpen rolesShare of its rolesIts share of the kind's open roles
Transcription, Audio & Speech
28
66.7%4.4%
Multilingual & Localization
10
23.8%1.1%
Data Annotation & Labeling
2
4.8%0.8%
AI Evaluation & Rating (RLHF)
1
2.4%0.5%
Robotics & Physical-AI Data
1
2.4%1.0%

Sample. 42 roles Appen listed open at the end of 31 Oct 2026; market shares are of the 4,381 roles open on all 62 platforms that day.

Kinds of work are this site's twelve categories of AI training work, each role classified from its title and description.

Its rank in the kind is among the platforms with open roles in it. A median needs at least 3 distinct advertised rates, as on the job board.

Pay is measured as on the job board: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20), as on every list.

Rows with fewer than 99 open roles in the kind are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own open roles in the kind (the weight fitted on the rows' own counts).

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 4

What Appen advertises it pays

How often does Appen state its pay, and how does it compare with other platforms for the same work?

RolesStating an hourly rateIts median per hourOther platforms' medianIts median against theirs
All its open roles11.9%
$25
$40-40.0%
Transcription, Audio & Speech10.7%
$35
$30+20.0%
Multilingual & LocalizationSmall sample0.0%
n/a
$35n/a
Data Annotation & LabelingSmall sample0.0%
n/a
$30n/a
AI Evaluation & Rating (RLHF)Small sample100.0%
n/a
$35n/a
Robotics & Physical-AI DataSmall sample100.0%
n/a
$10n/a

Sample. 5 of the 42 roles Appen listed open on 31 Oct 2026 state an hourly rate, 5 distinct rates and 0 advertised maximums; other platforms: 3,560 of 4,339.

Pay is measured as on the job board: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20), as on every list.

A median needs at least 3 distinct advertised rates, as on the job board. A comparison within a kind of work needs 3 distinct rates on each side. The row compared within the same kinds of work averages the kinds where both sides have enough, weighted by the platform's distinct rates in each, so a platform listing better-paid work is not read as paying more for the same work.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 5

What Appen advertises it pays, week by week

Is Appen advertising higher or lower pay than it did?

WeekMedian per hourTypical pay
1 to 4 OctPartial week
$4
$3 to $17
5 to 11 OctPartial week
n/a
n/a
12 to 18 Oct
$25
$4 to $40
19 to 25 Oct
$25
$4 to $40
26 to 31 OctPartial week
$25
$4 to $40

Sample. Roles Appen listed open at the end of each ISO week (Monday to Sunday, UTC) that state an hourly rate, 1 Oct 2026 to 31 Oct 2026.

Pay is measured as on the job board: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20), as on every list. Each week is measured over the roles open at its end.

A week needs at least 3 distinct advertised rates for a median.

A change can come from roles listed or removed at other rates as well as from a rate changed on a role: it describes what the board advertised, not what any one worker was paid.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 6

Who may apply to roles at Appen

Are the roles Appen lists open to applicants anywhere, or limited to some countries?

Location ruleIts open rolesShare of its rolesShare on other platforms
Open worldwide5
11.9%
18.6%
Worldwide except listed countries0
0.0%
18.3%
Only listed countries36
85.7%
62.8%
No rule stated1
2.4%
0.4%

Sample. 42 roles Appen listed open on 31 Oct 2026, against the 4,339 open on other platforms.

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. A rule says where applications are accepted; tax, payment and work-permit rules can still apply.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 7

Countries Appen names in its limited roles

When Appen limits a role to some countries, which countries does it name?

CountryLimited roles naming itShare of its limited roles
United States
5
13.9%
Japan
3
8.3%
Malaysia
3
8.3%
TaiwanSmall sample
3
8.3%
Argentina
2
5.6%
GeorgiaSmall sample
2
5.6%
India
2
5.6%
Qatar
2
5.6%
ArmeniaSmall sample
1
2.8%
Central African RepublicSmall sample
1
2.8%

Sample. 36 of the 42 roles Appen listed open on 31 Oct 2026 accept applicants only from listed countries; 30 of them name a single country. The 10 countries named most often, of 32.

A role naming several countries counts for each. Open only there: roles whose list names this country alone.

A row is marked as a small sample where the platform's limited roles do not outweigh the average of the platforms for that country (the weight fitted on every platform's own count).

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 8

Listings posted and removed by Appen

How many roles did Appen post and take down?

MeasureRoles
Open at the start of 1 Oct 2026
32
New listings
34
Removed listings
24
Open at the end of 31 Oct 2026
42

Sample. Listings by Appen from 1 Oct 2026 to 31 Oct 2026.

New listings: roles first seen in the window, outside the platform's first week in this dataset and outside the week of a change in how this site reads its board. Removed: roles that left the feed during the window, other than with such a change. A role can be both.

The other platforms' count at the start leaves out platforms first tracked during the window.

14 of its 24 removals (58.3%) fell on a single day, 27 Oct 2026: one large change to its board moves the window's flow.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 9

How long roles at Appen stayed up

How long had the roles Appen removed been listed?

Days listedRemoved rolesShare
Under 7 days0
0.0%
7 to 13 days1
4.2%
14 to 29 days14
58.3%
30 to 59 days1
4.2%
60 days or more8
33.3%

Sample. 24 roles Appen removed from 1 Oct 2026 to 31 Oct 2026 with a known listing date; median 26.4 days (other platforms: 30 days over 1,874 roles).

Days listed: from the listing date the job board states (or the first day the role appeared in the feed) to the last day it was seen. Roles that arrived with the back catalogue and state no date are left out.

A median needs at least 3 removed roles. A removed role may have been filled, paused or closed: platforms do not say which.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 10

What Appen calls the work

Which words does Appen use in its job titles: trainer, tutor, expert, rater, annotator?

Title wordIts open rolesShare of its rolesShare on other platforms
Contributor or participant
13
31.0%3.8%
Specialist
13
31.0%18.5%
Voice actor or speaker
13
31.0%7.0%
Annotator or labeler
6
14.3%6.7%
Expert or SME
3
7.1%24.9%
Evaluator or reviewer
2
4.8%8.3%
None of these words
8
19.0%16.5%

Sample. 42 roles Appen listed open on 31 Oct 2026, by the words in their titles (the same vocabulary as the job titles report).

A title can use several words ('Expert AI Trainer') and counts for each, so shares add to more than 100%. Whole words, case-insensitive.

A median needs at least 3 distinct advertised rates, as on the job board. Pay is measured as on the job board: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20), as on every list.

A word is marked as a small sample where Appen's open roles do not outweigh the average of the platforms for that word (the weight fitted on every platform's own count).

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 11

Languages Appen hires for

Which languages does Appen name in its job titles?

LanguageIts open rolesShare of its rolesIts share of all roles naming the language
Arabic
7
16.7%9.7%
Spanish
7
16.7%6.0%
VietnameseSmall sample
5
11.9%16.1%
RussianSmall sample
3
7.1%8.6%
JapaneseSmall sample
2
4.8%3.6%
AmharicSmall sample
1
2.4%25.0%
BurmeseSmall sample
1
2.4%16.7%
Chinese (Mandarin)
1
2.4%1.3%
CroatianSmall sample
1
2.4%8.3%
CzechSmall sample
1
2.4%6.7%
DanishSmall sample
1
2.4%5.0%
English
1
2.4%0.5%

Sample. 40 of the 42 roles Appen listed open on 31 Oct 2026 name a language in the title (21 languages, the 12 named most often shown).

Read from titles with the vocabulary of the languages report (whole words); a title naming two counts for both, and a role that needs a language without naming it is not counted.

A median needs at least 3 distinct advertised rates, as on the job board. Pay is measured as on the job board: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20), as on every list.

Rows with fewer than 60.9 open roles naming the language are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own open roles naming the language (the weight fitted on the rows' own counts).

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 12

What roles at Appen ask for

Do the roles Appen lists ask for degrees, credentials, experience, set hours or tests?

The descriptionIts rolesShare of its roles readOther platforms with descriptions
Mentions a PhD or doctorate0
0.0%
17.5%
Mentions a PhD or master's degree0
0.0%
25.4%
Mentions a degree0
0.0%
39.1%
Mentions a professional credential0
0.0%
16.8%
States years of experience0
0.0%
26.2%
States weekly hours4
9.5%
24.7%
Mentions an assessment, test or trial task0
0.0%
20.2%
Mentions an interview of any kind0
0.0%
10.0%
Mentions an AI-led or recorded interview0
0.0%
5.0%
Mentions a background or identity check9
21.4%
1.2%
Mentions contractor or freelance terms37
88.1%
52.0%

Sample. The full descriptions of 42 of the 42 roles Appen listed open on 31 Oct 2026, against 3,958 roles of the other platforms whose boards publish them (AfterQuery, Aligned Labs, Anthropic, Anyone AI, Babel Audio, Braintrust, Claru, Cohere, DataAnnotation, DATAmundi, Edison Scientific, Elsevier Health, EvolutionIQ, Fleet AI, Handshake AI, Headway, iMerit, Innodata, Invisible, Inworld AI, JazzX AI, Kastle, Lifted (Upwork), Limbic, Mercor, micro1, Mindrift, Mistral AI, OneForma, OpenTrain AI, Outlier (Scale AI), Pasiflora AI, Perle Labs, Pila8, PointClickCare, Prolific, RealTrainAI, RemoExperts, Remotasks, Rise Data Labs, RWS TrainAI Community, Sama, Scale AI Human Frontier Collective, Shaip (Collaborate by Shaip), Sigma AI, Snorkel AI Expert Community, Sovrano AI, SuperAnnotate (SME), Surge AI, TELUS Digital AI, Terac, TransPerfect DataForce, Trellis, Turing, Vals AI, Vetto, Volga Partners, Weekday, Welo Data and xAI (SpaceXAI)). Median weekly hours stated: 10.

Read with the documented patterns of the requirements report (whole words, case-insensitive). A mention can be a requirement or a preference ('a PhD is a plus'): both count.

Medians of years and hours need at least 3 roles stating them (the one minimum of every median); for hours the lower figure of a range counts.

Rows with fewer than 1.7 described roles are marked as a small sample and not ranked: below that the average of the rows weighs more than a row's own described roles (the weight fitted on the rows' own counts).

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 13

What an application to Appen asks for

What does an application to Appen ask for, and what must be filled in?

ItemIts forms askingIts forms requiring it
Current employer
100.0%
0.0%
Location or country
100.0%
100.0%
Phone number
100.0%
0.0%
Resume or CV
100.0%
0.0%
Cover letter
0.0%
0.0%
Other file uploads
0.0%
0.0%
GitHub profile
0.0%
0.0%
LinkedIn profile
0.0%
0.0%
Portfolio or website
0.0%
0.0%

Sample. The application forms of 42 of the 42 roles Appen listed open on 31 Oct 2026, read from its applicant-tracking system (Lever); a median of 13 fields and 6 questions of its own (other platforms' 1,640 forms: 10 fields).

Required: the form will not submit without it. Name and email, asked by every form, are not listed. Some platforms apply in steps (a short form, then an assessment); only the first form is read.

No row with any forms is a small sample: the rows differ so much that each reads on its own from its first.

Source. AITraining.jobs Research, Appen Hiring Data, October 2026 edition.

Figure 14

The questions Appen adds to its form

What does Appen ask applicants beyond a resume?

Question themeIts forms askingOther platforms' forms asking
Degree or field of study
100.0%
18.6%
Languages spoken or fluency
100.0%
30.5%
Age or being over 18
0.0%
2.5%
Prior AI training or annotation work
0.0%
12.4%
Work authorization or visa sponsorship
0.0%
14.7%
Availability, hours or start date
0.0%
7.9%
Licence or certification
0.0%
0.1%
Experience or years in a field
0.0%
19.8%
Expected pay or rate
0.0%
14.8%
How you heard about the role
0.0%
0.1%

Sample. The application forms of 42 roles Appen listed open on 31 Oct 2026; themes read from the label of each question the platform adds to its form.

A question can match more than one theme. Demographic questions are usually optional and asked for equal-opportunity reporting.

No row with any forms is a small sample: the rows differ so much that each reads on its own from its first.

Source. AITraining.jobs Research, Appen Hiring Data, 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. Appen's figures come from its own public listings only; full descriptions and application forms are read where its job board publishes 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.

Other platforms
Every platform this site reads other than Appen, over the same window and pooled: counts are summed and medians are taken over all their rates together. Appen is compared with the rest of the market, not with a market that includes it.
Rank
Its place among the platforms with open roles on the last day of the window, highest first (longest first for days listed). A share is ranked where the platform's open roles read on their own among the platforms (they reach the weight of the platforms' average share, fitted on their own counts), a pay median from 3 distinct advertised rates and days listed from 3 removed roles, so a platform below one is not ranked on that measure.
Open role
A role listed by a given day and still in its platform's feed that day. Week by week, open roles are counted at the end of each week (Sunday, UTC).
Back catalogue
The roles already listed in the week a platform was first tracked. That week is marked in the weekly series and its roles are not counted as new listings; weeks before it are left out.
New listing
A role that first appeared during the window on a platform already tracked before that week, other than with a change in how this site reads its board (below).
Removed listing
A role that left its platform's feed during the window, other than with a change in how this site reads its board (below). When most removals or new listings fall on one day, the figure says so: one large change to a board moves the window's flow.
Change in our reading
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. This site has read Appen's board the same way since the index began.
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 with a known listing date.
Advertised pay
Measured exactly as the job board measures any list of roles, so a median here is the median Appen's pay page states for the same roles: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20) and need at least 3 distinct rates.
Compared within the same kinds of work
For each kind of work where both the platform and the other platforms state at least 3 distinct hourly rates, its median over theirs, minus one; averaged across those kinds, weighted by the platform's distinct rates, so a platform listing better-paid work is not read as paying more for the same work. It needs two such kinds.
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.
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. Every kind links to its own page.
Title word, language, field
Read from titles as whole words with the vocabularies of the job titles, languages and expert fields reports; a title can count for several.
Mention
A description mentions a degree, credential, step or term when it contains one of the patterns published in the requirements report. A mention may be a requirement or a preference.
Application form
The fields an applicant fills in on the platform's own application page, read from its applicant-tracking system. Required: the form will not submit without the field.
Window
Live: the last 28 complete days, in UTC, with the weekly series over the last twelve complete ISO weeks from the week of 3 Aug 2026 at the earliest. Edition: one calendar month, in UTC, its weeks cut at the month's edges.

What this data cannot tell you

  • Platforms that recruit without a public job board are not counted, and a platform may staff projects it never lists: its listings are what it advertises, not everything it hires for.
  • A listing is not a hire. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
  • Listings only: how many people apply to a platform is never published here.
  • Pay is what postings advertise, not what workers are paid after bonuses, tiers or rejected tasks.
  • Full descriptions and application forms are published by some job boards only, so those figures appear only for the platforms whose boards publish them, and describe the roles open on the day they were read.
  • A removed listing may have been filled, paused or closed: platforms do not say which.

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). Appen Hiring Data, October 2026 edition. https://aitraining.jobs/research/appen-hiring-data/2026-10

BibTeX

@misc{aitrainingjobs_appen_hiring_data_2026_10,
  author = {{AITraining.jobs}},
  title = {Appen Hiring Data, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/appen-hiring-data/2026-10}},
}
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