Key findings
- 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.
- 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).
- 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.
- 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.
- 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).
- 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.
- 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.
- 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 1
Open roles, week by week
Is the number of open roles in Law, Medicine & Finance rising or falling?
| Week | Open 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?
| Work | Open on 1 Oct 2026 | Open on 31 Oct 2026, same platforms | Change | New listings |
|---|---|---|---|---|
| Law, Medicine & Finance | 700 | 818 | +16.9% | 745 |
| All AI training work | 2,665 | 2,554 | -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?
| Platform | Open roles | Share of open roles | Median per hour |
|---|---|---|---|
| micro1 | 168 | 10.9% | $75 |
| SuperAnnotate (SME) | 157 | 10.2% | n/a |
| Handshake AI | 144 | 9.3% | n/a |
| Mercor | 137 | 8.9% | $90 |
| AfterQuery | 122 | 7.9% | $90 |
| Invisible | 103 | 6.7% | $35 |
| Alignerr | 96 | 6.2% | $60 |
| Weekday | 72 | 4.7% | $110 |
| Anyone AI | 59 | 3.8% | $40 |
| DataAnnotation | 59 | 3.8% | $80 |
| Turing | 55 | 3.6% | $100 |
| Prolific | 52 | 3.4% | $40 |
| Volga Partners | 42 | 2.7% | $35 |
| Mindrift | 37 | 2.4% | $100 |
| Rise Data Labs | 34 | 2.2% | $35 |
| Sovrano AI | 29 | 1.9% | $80 |
| Terac | 23 | 1.5% | $110 |
| RWS TrainAI Community | 20 | 1.3% | $35 |
| RemoExperts | 18 | 1.2% | $100 |
| Braintrust | 16 | 1.0% | $70 |
| TELUS Digital AI | 15 | 1.0% | $35 |
| Aligned Labs | 13 | 0.8% | $70 |
| Vetto | 13 | 0.8% | n/a |
| Surge AI | 10 | 0.6% | $300 |
| OpenTrain AI | 7 | 0.5% | $30 |
| Elsevier Health | 6 | 0.4% | $55 |
| Scale AI Human Frontier Collective | 5 | 0.3% | n/a |
| Lifted (Upwork) | 4 | 0.3% | n/a |
| Pasiflora AI | 3 | 0.2% | n/a |
| RealTrainAI | 3 | 0.2% | n/a |
| Welo Data | 3 | 0.2% | $12 |
| xAI (SpaceXAI) | 2 | 0.1% | n/a |
| Claru | 1 | 0.1% | n/a |
| Edison Scientific | 1 | 0.1% | n/a |
| Fleet AI | 1 | 0.1% | n/a |
| Headway | 1 | 0.1% | n/a |
| Innodata | 1 | 0.1% | n/a |
| Kastle | 1 | 0.1% | n/a |
| Limbic | 1 | 0.1% | n/a |
| Mistral AI | 1 | 0.1% | n/a |
| OneForma | 1 | 0.1% | n/a |
| PointClickCare | 1 | 0.1% | n/a |
| Remotasks | 1 | 0.1% | n/a |
| TransPerfect DataForce | 1 | 0.1% | n/a |
| Trellis | 1 | 0.1% | n/a |
| Vals AI | 1 | 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?
| Work | Median per hour | Typical pay from | Typical pay to | Stating an hourly rate |
|---|---|---|---|---|
| Law, Medicine & Finance | $70 | $40 | $150 | 90.2% |
| All AI training work | $40 | $30 | $125 | 81.4% |
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 rate | Open roles | Share of priced roles | All AI training work |
|---|---|---|---|
| Under $15/hr | 18 | 1.3% | 6.9% |
| $15 to $25/hr | 55 | 4.0% | 10.6% |
| $25 to $35/hr | 54 | 3.9% | 11.9% |
| $35 to $50/hr | 296 | 21.3% | 26.0% |
| $50 to $75/hr | 263 | 18.9% | 14.7% |
| $75 to $100/hr | 352 | 25.3% | 15.3% |
| $100 to $150/hr | 226 | 16.3% | 9.4% |
| $150/hr or more | 126 | 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?
| Roles | Clicks per role a week | Index |
|---|---|---|
| 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 age | Clicks per role a week | Index (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 rule | Open roles | Share of its open roles | All AI training work |
|---|---|---|---|
| Open worldwide | 229 | 14.9% | 18.5% |
| Worldwide except listed countries | 324 | 21.0% | 18.1% |
| Only listed countries | 985 | 63.9% | 63.0% |
| No rule stated | 3 | 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?
| Country | Open roles | Share 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 field | Open roles | Share 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?
| Requirement | Roles | Share of described roles |
|---|---|---|
| Mentions a PhD | 343 | 23.7% |
| Mentions a PhD or master's | 475 | 32.9% |
| Mentions any degree | 661 | 45.7% |
| Mentions a professional credential | 502 | 34.7% |
| States years of experience | 539 | 37.3% |
| Asks for 5 years or more | 160 | 11.1% |
| States weekly hours | 445 | 30.8% |
| Mentions an assessment or test | 397 | 27.5% |
| Mentions an AI-led or video interview | 59 | 4.1% |
| Mentions a background check | 4 | 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.
- Live dataLast 28 complete days, recomputed daily
- October 2026 edition (this page)Freezes on first reading
- September 2026 editionFrozen 10 Oct 2026
- August 2026 editionFrozen 10 Oct 2026
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}},
}More research
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