Key findings

1
Terac listed 37 open roles on 31 Oct 2026, 0.8% of the 4,381 open across the 62 platforms AITraining.jobs reads, the 29th most.
Figure 1
2
Counted at the end of each week, Terac went from 22 open roles on 4 Oct 2026 to 37 on 31 Oct 2026 (+68.2%).
Figure 2
3
62.2% of its open roles are in Law, Medicine & Finance, where Terac holds 1.5% of all open roles, the 17th largest share of 46 platforms; it lists 8 of the 12 kinds of work with open roles.
Figure 3
4
On 31 Oct 2026, 59.5% of its open roles stated an hourly rate. Their 22 distinct advertised rates have a median of $90/hr and typical pay of $65 to $155/hr, against a median of $40/hr across other platforms' rates.
Figure 4
5
Compared within the same kinds of work (2 with enough rates on both sides), the advertised median at Terac runs 43.7% above other platforms' and is higher in 1 of the 2; the widest gap is in Law, Medicine & Finance ($110/hr against $70/hr).
Figure 4
6
None of its 37 open roles are open to applicants in any country (18.7% on other platforms); all are limited to listed countries, most often the United States (named by 83.8%).
Figure 6
7
From 1 Oct 2026 to 31 Oct 2026, Terac posted 28 new listings and removed 9 (listed a median of 54 days before removal, against 30 days on other platforms); its open roles went from 18 to 37.
Figure 8
8
Of the 37 roles Terac lists with a full description, 10.8% mention a PhD or master's degree, 8.1% a professional credential and 10.8% an assessment or test (other platforms with descriptions: 25.3%, 16.7% and 20.0%).
Figure 12

Figure 1

Terac against the other platforms

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

Measure	Terac	Other platforms	Its rank (1 = highest)
Open roles on 31 Oct 2026	37	4,344	29th of 62
Share of all open roles	0.8%	99.2%	29th of 62
New listings in the window	28	1,610	11th of 62
Kinds of work listed	8	12	joint 12th of 62
Open roles stating an hourly rate	59.5%	81.6%	39th of 62
Median advertised pay	$90/hr	$40/hr	joint 8th of 37
Open roles accepting any country	0.0%	18.7%	joint 24th of 62
Median days listed, removed roles	54 days	30 days	9th of 26

Sample. 37 roles Terac listed open at the end of 31 Oct 2026, beside the 4,344 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, Terac Hiring Data, October 2026 edition.

Figure 2

Open roles at Terac, week by week

Is Terac listing more AI training roles or fewer?

Week	Open roles, like for like (first week = 100)	Open at the end of the week, as read	New listings	Removed
1 to 4 OctPartial week	100.0	22	8	4
5 to 11 Oct	95.5	21	1	2
12 to 18 Oct	118.2	26	6	1
19 to 25 Oct	150.0	33	8	1
26 to 31 OctPartial week	168.2	37	5	1

Sample. Listings by Terac, 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, Terac Hiring Data, October 2026 edition.

Figure 3

What Terac hires for

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

Kind of work	Open roles	Share of its roles	Its share of the kind's open roles	Its rank in the kind	Its median per hour
Law, Medicine & Finance	23	62.2%	1.5%	17th of 46	$110
Research Studies & SurveysSmall sample	5	13.5%	27.8%	1st of 8	$75
Agentic Tasks & RL Environments	2	5.4%	1.6%	joint 10th of 19	n/a
Coding & Software Evaluation	2	5.4%	0.7%	joint 16th of 27	n/a
Data Annotation & Labeling	2	5.4%	0.8%	joint 20th of 33	n/a
AI Evaluation & Rating (RLHF)	1	2.7%	0.5%	joint 21st of 33	n/a
Math & STEM	1	2.7%	0.4%	joint 22nd of 28	n/a
Writing & ContentSmall sample	1	2.7%	3.0%	joint 8th of 13	n/a

Sample. 37 roles Terac 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.

Rows with fewer than 82 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, Terac Hiring Data, October 2026 edition.

Figure 4

What Terac advertises it pays

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

Roles	Stating an hourly rate	Its median per hour	Its typical pay	Other platforms' median	Its median against theirs	Its roles stating a rate	Distinct rates measured
All its open roles	59.5%	$90	$65 to $155	$40	+126.3%	22	22
Compared within the same kinds of work (2)	n/a	n/a	n/a	n/a	+43.7%	15	15
Law, Medicine & Finance	52.2%	$110	$100 to $195	$70	+57.9%	12	12
Research Studies & Surveys	60.0%	$75	$40 to $95	$85	-13.0%	3	3
Agentic Tasks & RL EnvironmentsSmall sample	100.0%	n/a	n/a	$60	n/a	2	2
Coding & Software EvaluationSmall sample	100.0%	n/a	n/a	$60	n/a	2	2
Data Annotation & LabelingSmall sample	100.0%	n/a	n/a	$30	n/a	2	2
AI Evaluation & Rating (RLHF)Small sample	100.0%	n/a	n/a	$35	n/a	1	1
Math & STEMSmall sample	0.0%	n/a	n/a	$40	n/a	0	0
Writing & ContentSmall sample	0.0%	n/a	n/a	$60	n/a	0	0

Sample. 22 of the 37 roles Terac listed open on 31 Oct 2026 state an hourly rate, 22 distinct rates and 0 advertised maximums; other platforms: 3,543 of 4,344.

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, Terac Hiring Data, October 2026 edition.

Figure 5

What Terac advertises it pays, week by week

Is Terac advertising higher or lower pay than it did?

Week	Median per hour	Typical pay	Distinct rates measured	Open roles stating a rate
1 to 4 OctPartial week	$80	$50 to $150	16	16
5 to 11 Oct	$70	$40 to $100	14	14
12 to 18 Oct	$80	$50 to $105	16	16
19 to 25 Oct	$80	$50 to $105	18	18
26 to 31 OctPartial week	$90	$65 to $155	22	22

Sample. Roles Terac 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.

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, Terac Hiring Data, October 2026 edition.

Figure 6

Who may apply to roles at Terac

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

Location rule	Its open roles	Share of its roles	Share on other platforms
Open worldwide	0	0.0%	18.7%
Worldwide except listed countries	0	0.0%	18.3%
Only listed countries	37	100.0%	62.7%
No rule stated	0	0.0%	0.4%

Sample. 37 roles Terac listed open on 31 Oct 2026, against the 4,344 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, Terac Hiring Data, October 2026 edition.

Figure 7

Countries Terac names in its limited roles

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

Country	Limited roles naming it	Share of its limited roles	Open only there
United States	31	83.8%	31
Brazil	2	5.4%	2
India	2	5.4%	2
Argentina	1	2.7%	1
Canada	1	2.7%	1

Sample. 37 of the 37 roles Terac listed open on 31 Oct 2026 accept applicants only from listed countries; 37 of them name a single country. 5 countries named.

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, Terac Hiring Data, October 2026 edition.

Figure 8

Listings posted and removed by Terac

How many roles did Terac post and take down?

Measure	Roles	Other platforms
Open at the start of 1 Oct 2026	18	2,647
New listings	28	1,610
Removed listings	9	2,009
Open at the end of 31 Oct 2026	37	4,344

Sample. Listings by Terac 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.

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

Figure 9

How long roles at Terac stayed up

How long had the roles Terac removed been listed?

Days listed	Removed roles	Share	Share on other platforms
Under 7 days	1	11.1%	12.5%
7 to 13 days	1	11.1%	16.3%
14 to 29 days	2	22.2%	21.3%
30 to 59 days	5	55.6%	26.5%
60 days or more	0	0.0%	23.3%

Sample. 9 roles Terac removed from 1 Oct 2026 to 31 Oct 2026 with a known listing date; median 54 days (other platforms: 30 days over 1,889 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, Terac Hiring Data, October 2026 edition.

Figure 10

What Terac calls the work

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

Title word	Its open roles	Share of its roles	Share on other platforms	Its median per hour
Evaluator or reviewer	13	35.1%	8.1%	$70
Engineer or developer	10	27.0%	7.9%	$90
Expert or SME	6	16.2%	24.8%	n/a
Annotator or labeler	2	5.4%	6.7%	n/a
Specialist	2	5.4%	18.8%	n/a
Contributor or participant	1	2.7%	4.1%	n/a
Quality assurance	1	2.7%	4.5%	n/a
None of these words	9	24.3%	16.5%	$100

Sample. 37 roles Terac 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 Terac'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, Terac Hiring Data, October 2026 edition.

Figure 11

Expert fields Terac hires for

Which professions and disciplines does Terac name in its job titles?

Field	Its open roles	Share of its roles	Its share of all roles naming the field	Its median per hour
Medicine and nursingSmall sample	7	18.9%	3.1%	n/a
Finance and accountingSmall sample	5	13.5%	2.1%	$100
Software and ITSmall sample	5	13.5%	1.3%	$65
ChemistrySmall sample	3	8.1%	3.4%	n/a
Business and managementSmall sample	2	5.4%	1.4%	n/a
Engineering (non-software)Small sample	2	5.4%	0.9%	n/a
Data science and machine learningSmall sample	1	2.7%	1.5%	n/a
Design and visual artsSmall sample	1	2.7%	1.7%	n/a
LawSmall sample	1	2.7%	0.6%	n/a

Sample. 26 of the 37 roles Terac listed open on 31 Oct 2026 name a field in the title (9 fields).

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

Every row is marked as a small sample: the rows differ no more than chance makes them, so none reads on its own and none is ranked.

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

Figure 12

What roles at Terac ask for

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

The description	Its roles	Share of its roles read	Other platforms with descriptions
Mentions a PhD or doctorate	4	10.8%	17.4%
Mentions a PhD or master's degree	4	10.8%	25.3%
Mentions a degree	4	10.8%	38.9%
Mentions a professional credential	3	8.1%	16.7%
States years of experience	0	0.0%	26.2%
States weekly hours	0	0.0%	24.8%
Mentions an assessment, test or trial task	4	10.8%	20.0%
Mentions an interview of any kind	8	21.6%	9.8%
Mentions an AI-led or recorded interview	2	5.4%	5.0%
Mentions a background or identity check	0	0.0%	1.4%
Mentions contractor or freelance terms	1	2.7%	52.9%

Sample. The full descriptions of 37 of the 37 roles Terac listed open on 31 Oct 2026, against 3,963 roles of the other platforms whose boards publish them (AfterQuery, Aligned Labs, Anthropic, Anyone AI, Appen, 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, TransPerfect DataForce, Trellis, Turing, Vals AI, Vetto, Volga Partners, Weekday, Welo Data and xAI (SpaceXAI)).

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, Terac Hiring Data, October 2026 edition.

Figure 13

What an application to Terac asks for

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

Item	Its forms asking	Its forms requiring it	Other platforms' forms asking
Phone number	100.0%	100.0%	99.1%
Current employer	0.0%	0.0%	22.7%
Cover letter	0.0%	0.0%	17.8%
Other file uploads	0.0%	0.0%	7.2%
GitHub profile	0.0%	0.0%	27.7%
LinkedIn profile	0.0%	0.0%	74.0%
Location or country	0.0%	0.0%	90.6%
Portfolio or website	0.0%	0.0%	20.7%
Resume or CV	0.0%	0.0%	99.9%

Sample. The application forms of 37 of the 37 roles Terac listed open on 31 Oct 2026, read from its applicant-tracking system (Ashby); a median of 3 fields and 0 questions of its own (other platforms' 1,645 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, Terac Hiring Data, October 2026 edition.

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11,482 roles tracked, each with its history
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Method and definitions

The public job boards of the AI training platforms this site tracks, read every hour. Terac'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 Terac, over the same window and pooled: counts are summed and medians are taken over all their rates together. Terac 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 Terac'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 Terac'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.

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

BibTeX

@misc{aitrainingjobs_terac_hiring_data_2026_10,
  author = {{AITraining.jobs}},
  title = {Terac Hiring Data, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/terac-hiring-data/2026-10}},
}

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