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Research report ยท October 2026 edition

The Market for Law, Medicine & Finance Work

On 31 Oct 2026, 1,541 roles in Law, Medicine & Finance were open on 46 platforms (micro1 listed 168 of them (10.9%)); their median advertised rate was $70/hr, 75% above the $40/hr of all AI training work; each open role drew 0.92x 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, 01:18 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

    Between the week of 5 Oct 2026 and the week of 19 Oct 2026, open roles in Law, Medicine & Finance on the platforms tracked since 1 Oct 2026 went up 15.3%, from about 680 to 784, like for like across the changes in how this site reads some of their boards, against -3.1% for all AI training work on the same platforms; platforms first tracked later, left out of this panel, listed about 616 more in the week of 19 Oct 2026.

    Figure 1
  2. 2

    46 platforms listed the 1,541 open roles in Law, Medicine & Finance; micro1 held 168 of them (10.9%) and the three largest 469 (30.4%) (HHI 642, unconcentrated, against 522 for all AI training work).

    Figure 3
  3. 3

    1,390 of the 1,541 open roles in Law, Medicine & Finance (90.2%) stated an hourly rate, with a median of $70/hr (typical pay $40 to $150), 75% above the $40/hr of all AI training work.

    Figure 4
  4. 4

    Each open role in Law, Medicine & Finance drew 3.14 apply clicks a week on AITraining.jobs, 0.92x the average AI training role: the 6th highest of 12 kinds of work whose demand reads on its own.

    Figure 6
  5. 5

    232 of the 1,541 open roles in Law, Medicine & Finance (15.1%) accepted applicants from any country, against 18.5% of all AI training roles; of the 20 countries compared, residents of the United States (1,253), the United Kingdom (742) and India (669) could apply to the most, and residents of Palestine to the fewest (398).

    Figure 9
  6. 6

    1,228 of the 1,541 open roles in Law, Medicine & Finance (79.7%) name an expert field in their title, 21 expert fields in all; Finance and accounting (223), Medicine and nursing (223) and Engineering (non-software, 172) were named most.

    Figure 10
  7. 7

    Of the 1,445 open roles in Law, Medicine & Finance with a full description, 475 (32.9%) mention a PhD or master's degree, 502 (34.7%) a professional credential and 397 (27.5%) an assessment or test; the 539 stating years of experience ask for a median of 3 years.

    Figure 11
  8. 8

    Over the 31 days from 1 Oct 2026 to 31 Oct 2026, open roles in Law, Medicine & Finance on the platforms tracked at its start went up 16.9% (700 to 818, like for like across the changes in how this site reads some of their boards): platforms listed 745 new roles and removed 737, and a removed role had been listed for a median of 30 days (30 across all AI training work).

    Figure 2

Figure 1

Open roles, week by week

Is the number of open roles in Law, Medicine & Finance rising or falling?

WeekOpen roles (fixed panel)Index
1 to 4 OctPartial week
681
100.1
5 to 11 Oct
680
100.0
12 to 18 Oct
760
103.4
19 to 25 Oct
891
115.3
26 to 31 OctPartial week
922
119.6

Sample. Average open roles in Law, Medicine & Finance over each week's days, on the 18 platforms tracked since 1 Oct 2026 (the fixed panel; 15 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 5 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). 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.

SuperAnnotate (SME) (first tracked 10 Oct 2026), Turing (first tracked 10 Oct 2026), RemoExperts (first tracked 10 Oct 2026), Sovrano AI (first tracked 11 Oct 2026), Anyone AI (first tracked 11 Oct 2026), Vetto (first tracked 14 Oct 2026), OneForma (first tracked 14 Oct 2026), Claru (first tracked 14 Oct 2026), Pasiflora AI (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), Scale AI Human Frontier Collective (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), Aligned Labs (first tracked 22 Oct 2026), Surge AI (first tracked 22 Oct 2026), RealTrainAI (first tracked 22 Oct 2026), Fleet AI (first tracked 22 Oct 2026), RWS TrainAI Community (first tracked 22 Oct 2026), Limbic (first tracked 25 Oct 2026), PointClickCare (first tracked 25 Oct 2026), Vals AI (first tracked 25 Oct 2026), Mistral AI (first tracked 25 Oct 2026), Headway (first tracked 25 Oct 2026), Elsevier Health (first tracked 25 Oct 2026), Edison Scientific (first tracked 29 Oct 2026), Kastle (first tracked 29 Oct 2026) and Trellis (first tracked 29 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.

Weeks cut by the span, or with fewer than 42 open roles on the panel (the weight of the rest of AI training work's change, fitted on the two: below it the market's movement says more than the kind's own roles), are marked.

Source. AITraining.jobs Research, The Market for Law, Medicine & Finance Work, October 2026 edition.

Figure 2

Listings added and removed

How fast do roles in Law, Medicine & Finance turn over, and is the stock growing on the same platforms?

WorkOpen on 1 Oct 2026Open on 31 Oct 2026, same platformsChangeNew listings
Law, Medicine & Finance700818
+16.9%
745
All AI training work2,6652,554
-4.2%
1,638

Sample. Roles listed from 1 Oct 2026 to 31 Oct 2026: 2,513 in Law, Medicine & Finance, 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 46.3 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; 681 here).

Source. AITraining.jobs Research, The Market for Law, Medicine & Finance Work, October 2026 edition.

Figure 3

Who lists it

Which platforms list roles in Law, Medicine & Finance, and what does each advertise?

PlatformOpen rolesShare of open rolesMedian per hour
micro1168
10.9%
$75
SuperAnnotate (SME)157
10.2%
n/a
Handshake AI144
9.3%
n/a
Mercor137
8.9%
$90
AfterQuery122
7.9%
$90
Invisible103
6.7%
$35
Alignerr96
6.2%
$60
Weekday72
4.7%
$110
Anyone AI59
3.8%
$40
DataAnnotation59
3.8%
$80
Turing55
3.6%
$100
Prolific52
3.4%
$40
Volga Partners42
2.7%
$35
Mindrift37
2.4%
$100
Rise Data Labs34
2.2%
$35
Sovrano AI29
1.9%
$80
Terac23
1.5%
$110
RWS TrainAI Community20
1.3%
$35
RemoExperts18
1.2%
$100
Braintrust16
1.0%
$70
TELUS Digital AI15
1.0%
$35
Aligned Labs13
0.8%
$70
Vetto13
0.8%
n/a
Surge AI10
0.6%
$300
OpenTrain AI7
0.5%
$30
Elsevier Health6
0.4%
$55
Scale AI Human Frontier Collective5
0.3%
n/a
Lifted (Upwork)4
0.3%
n/a
Pasiflora AI3
0.2%
n/a
RealTrainAI3
0.2%
n/a
Welo Data3
0.2%
$12
xAI (SpaceXAI)2
0.1%
n/a
Claru1
0.1%
n/a
Edison Scientific1
0.1%
n/a
Fleet AI1
0.1%
n/a
Headway1
0.1%
n/a
Innodata1
0.1%
n/a
Kastle1
0.1%
n/a
Limbic1
0.1%
n/a
Mistral AI1
0.1%
n/a
OneForma1
0.1%
n/a
PointClickCare1
0.1%
n/a
Remotasks1
0.1%
n/a
TransPerfect DataForce1
0.1%
n/a
Trellis1
0.1%
n/a
Vals AI1
0.1%
n/a

Sample. 1,541 roles in Law, Medicine & Finance open at the end of 31 Oct 2026, by the platform that lists them: HHI 642 (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 Law, Medicine & Finance Work, October 2026 edition.

Figure 4

What it pays

What do roles in Law, Medicine & Finance advertise per hour, against AI training work as a whole?

WorkMedian per hourTypical pay fromTypical pay toStating an hourly rate
Law, Medicine & Finance
$70
$40$15090.2%
All AI training work
$40
$30$12581.4%

Sample. Roles open on 31 Oct 2026: 1,541 in Law, Medicine & Finance, 1,390 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 Law, Medicine & Finance Work, October 2026 edition.

Figure 5

How its rates are distributed

What share of roles in Law, Medicine & Finance pay $50 an hour or more?

Advertised rateOpen rolesShare of priced rolesAll AI training work
Under $15/hr18
1.3%
6.9%
$15 to $25/hr55
4.0%
10.6%
$25 to $35/hr54
3.9%
11.9%
$35 to $50/hr296
21.3%
26.0%
$50 to $75/hr263
18.9%
14.7%
$75 to $100/hr352
25.3%
15.3%
$100 to $150/hr226
16.3%
9.4%
$150/hr or more126
9.1%
5.1%

Sample. 1,390 roles in Law, Medicine & Finance 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 Law, Medicine & Finance Work, October 2026 edition.

Figure 6

Applicant demand per open role

Do roles in Law, Medicine & Finance draw more or fewer applicants per opening than the average AI training role?

RolesClicks per role a weekIndex
Law, Medicine & Finance
3.14
0.92x
All AI training work
3.41
1.00x
Its roles stating an hourly rate
3.35
0.98x
Its roles stating no hourly rate
1.22
0.36x
Its roles open worldwide
2.46
0.72x
Its roles limited by country
3.27
0.96x

Sample. Apply clicks on a specific role on AITraining.jobs, from 1 Oct 2026 to 31 Oct 2026: 15,918 on roles in Law, Medicine & Finance, 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.

Law, Medicine & Finance 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 7 open role-days (1 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 79.5 open role-days (11.4 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 Law, Medicine & Finance Work, October 2026 edition.

Figure 7

Applicant demand by listing age

Do newer roles in Law, Medicine & Finance draw more applicants than older ones?

Listing ageClicks per role a weekIndex (this work = 1)
Listed during the window
3.37
1.07x
Listed up to 4 weeks before it
0.55
0.18x
Listed 4 to 12 weeks before it
5.62
1.79x
Listed more than 12 weeks before it
3.47
1.10x
Listing date unknown
0.54
0.17x

Sample. Apply clicks on roles in Law, Medicine & Finance, 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 3 open role-days (0.4 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 Law, Medicine & Finance Work, October 2026 edition.

Figure 8

Who may apply: location rules

Can people apply to roles in Law, Medicine & Finance from anywhere?

Location ruleOpen rolesShare of its open rolesAll AI training work
Open worldwide229
14.9%
18.5%
Worldwide except listed countries324
21.0%
18.1%
Only listed countries985
63.9%
63.0%
No rule stated3
0.2%
0.4%

Sample. 1,541 roles in Law, Medicine & Finance 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 Law, Medicine & Finance Work, October 2026 edition.

Figure 9

Who may apply: roles open to each country

How many roles in Law, Medicine & Finance can a resident of each country apply to?

CountryOpen rolesShare of its open roles
Any country (worldwide roles only)
232
15.1%
United States
1,253
81.3%
United Kingdom
742
48.2%
India
669
43.4%
Germany
640
41.5%
Indonesia
599
38.9%
Philippines
598
38.8%
Pakistan
560
36.3%
Brazil
516
33.5%
Bangladesh
507
32.9%
Argentina
473
30.7%
Chile
473
30.7%
Japan
473
30.7%
Egypt
472
30.6%
South Korea
470
30.5%
Saudi Arabia
467
30.3%
Colombia
466
30.2%
Nigeria
459
29.8%
Ghana
456
29.6%
Cambodia
437
28.4%
Palestine
398
25.8%

Sample. 1,541 roles in Law, Medicine & Finance 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 Law, Medicine & Finance Work, October 2026 edition.

Figure 10

Expert fields asked for

Which professions and disciplines do roles in Law, Medicine & Finance ask for?

Expert fieldOpen rolesShare of its open roles
Finance and accounting
223
14.5%
Medicine and nursing
223
14.5%
Engineering (non-software)
172
11.2%
Law
153
9.9%
Business and management
130
8.4%
Chemistry
82
5.3%
Biology and life sciences
77
5.0%
Physics and astronomy
32
2.1%
Software and IT
32
2.1%
Design and visual arts
28
1.8%
Teaching
27
1.8%
Nuclear, CBRN and defense
24
1.6%
Earth and environmental science
24
1.6%
Humanities and social sciences
23
1.5%
Data science and machine learning
14
0.9%
Psychology and mental health
11
0.7%
Translation and interpreting
4
0.3%
Mathematics and statistics
3
0.2%
Voice acting, music and sound
3
0.2%
Trust, safety and child protection
2
0.1%

Sample. 1,228 of the 1,541 roles in Law, Medicine & Finance open on 31 Oct 2026 name an expert field in their title (79.7%); 21 expert fields are named, the 20 most frequent shown.

A role counts for a field when its title names the profession or discipline; generic titles ('Expert', 'AI Tutor') name none. A role naming two fields counts for both.

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

Source. AITraining.jobs Research, The Market for Law, Medicine & Finance Work, October 2026 edition.

Figure 11

What the descriptions ask for

Do roles in Law, Medicine & Finance ask for degrees, credentials, experience or tests?

RequirementRolesShare of described roles
Mentions a PhD343
23.7%
Mentions a PhD or master's475
32.9%
Mentions any degree661
45.7%
Mentions a professional credential502
34.7%
States years of experience539
37.3%
Asks for 5 years or more160
11.1%
States weekly hours445
30.8%
Mentions an assessment or test397
27.5%
Mentions an AI-led or video interview59
4.1%
Mentions a background check4
0.3%

Sample. 1,445 roles in Law, Medicine & Finance open on 31 Oct 2026 whose job board publishes a full description (AfterQuery, Aligned Labs, Anyone AI, Braintrust, Claru, DataAnnotation, Edison Scientific, Elsevier Health, Fleet AI, Handshake AI, Headway, Innodata, Invisible, Kastle, Lifted (Upwork), Limbic, Mercor, micro1, Mindrift, Mistral AI, OneForma, OpenTrain AI, Pasiflora AI, PointClickCare, Prolific, RealTrainAI, RemoExperts, Remotasks, Rise Data Labs, RWS TrainAI Community, Scale AI Human Frontier Collective, 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)), 93.8% 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 Law, Medicine & Finance 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 Law, Medicine & Finance.
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 Law, Medicine & Finance Work, October 2026 edition. https://aitraining.jobs/research/law-medicine-finance-ai-training-market/2026-10

BibTeX

@misc{aitrainingjobs_law_medicine_finance_ai_training_market_2026_10,
  author = {{AITraining.jobs}},
  title = {The Market for Law, Medicine & Finance Work, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/law-medicine-finance-ai-training-market/2026-10}},
}
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