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Research report ยท Live data

AI Training Job Titles

On 19 Oct 2026, AI training roles were most often titled "Expert or SME", "Trainer" and "Specialist"; roles titled "Voice actor or speaker" advertised the highest median pay ($100/hr).

Data window
22 Sep 2026 to 19 Oct 2026
28 days, UTC
Computed
20 Oct 2026, 15:07 UTC
Recomputed every day
Source
The public job boards of the AI training platforms this site tracks, read every day.
Method
Version 1. 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

    The most common title words were Expert or SME (25.3% of open roles), Trainer (18.7% of open roles) and Specialist (17.0% of open roles).

    Figure 1
  2. 2

    Roles titled "Voice actor or speaker" advertised the highest median ($100/hr); roles titled "Rater" the lowest ($9/hr).

    Figure 2
  3. 3

    Only 2.0% of open roles carry a senior, staff or principal title; they advertised a median of $69/hr against $65/hr for roles with no level in the title.

    Figure 4
  4. 4

    13.8% of open roles say "freelance" in the title itself.

    Figure 5

Figure 1

What AI training roles are called

Is the work posted as trainer, tutor, rater, annotator or expert?

Title wordOpen rolesShare of open roles
Expert or SME
1,096
25.3%
Trainer
809
18.7%
Specialist
736
17.0%
Voice actor or speaker
453
10.5%
Engineer or developer
350
8.1%
Evaluator or reviewer
293
6.8%
Annotator or labeler
285
6.6%
Analyst or researcher
254
5.9%
Contributor or participant
206
4.8%
Quality assurance
191
4.4%
Lead or manager
164
3.8%
Writer or editor
77
1.8%
Rater
76
1.8%
Linguist or translator
41
0.9%
Red teamer or tester
27
0.6%
Tutor
16
0.4%

Sample. 4,330 roles open at the end of 19 Oct 2026, by the words in their titles; 84.1% use at least one of these words.

A title can use several words ('Expert AI Trainer') and counts for each.

Source. AITraining.jobs Research, AI Training Job Titles, live data.

Figure 2

Advertised pay by title word

Does it pay more to be called an expert than a rater?

Title wordMedian per hourMiddle half
Voice actor or speaker
$100
$36 to $100
Red teamer or tester
$75
$43 to $90
Engineer or developer
$65
$50 to $85
Expert or SME
$65
$40 to $90
Analyst or researcher
$60
$28 to $89
Lead or manager
$56
$30 to $80
Trainer
$50
$36 to $65
Specialist
$48
$33 to $65
Evaluator or reviewer
$46
$25 to $80
Contributor or participant
$45
$30 to $100
Tutor
$40
$40 to $40
Linguist or translator
$36
$30 to $55
Writer or editor
$35
$23 to $98
Annotator or labeler
$23
$15 to $30
Quality assurance
$22
$15 to $60
Rater
$9
$5 to $21

Sample. Roles open on 19 Oct 2026 that state an hourly rate; title words with at least 8 of them.

Source. AITraining.jobs Research, AI Training Job Titles, live data.

Figure 3

Each platform's word for the work

Which title does each platform use most?

Sample. 4,330 roles open at the end of 19 Oct 2026, by the words in their titles.

Source. AITraining.jobs Research, AI Training Job Titles, live data.

Figure 4

Seniority words in titles

How many AI training roles are senior, and how much more do they pay?

LevelOpen rolesShare of open rolesMedian per hour
Senior, staff or principal85
2.0%
$69
Lead or manager174
4.0%
$56
Junior, entry or associate48
1.1%
$34
Intern or studentSmall sample2
0.0%
n/a
None of these words4,024
92.9%
$65

Sample. 4,330 roles open at the end of 19 Oct 2026, by the words in their titles.

Median pay needs at least 8 roles stating a rate.

Source. AITraining.jobs Research, AI Training Job Titles, live data.

Figure 5

Engagement words in titles

How many roles say freelance, contract, part-time or remote in the title?

WordOpen rolesShare of open rolesMedian per hour
Freelance598
13.8%
$65
Contract17
0.4%
$69
Part-timeSmall sample9
0.2%
$98
Full-timeSmall sample0
0.0%
n/a
Remote166
3.8%
$23
On-site or hybrid38
0.9%
n/a
None of these words3,512
81.1%
$63

Sample. 4,330 roles open at the end of 19 Oct 2026, by the words in their titles.

Median pay needs at least 8 roles stating a rate.

Source. AITraining.jobs Research, AI Training Job Titles, live data.

For labs, data vendors and researchers

Buy the data behind this report

The figures above are a summary. Behind them are records we collect ourselves, every day:

  • 10,412 roles tracked, each with its history

    Every role on 36 job boards, read daily since 13 Jul 2026: its pay and place, and the first and last day it was open.

  • 10,778 apply clicks in 28 days

    Which roles people actually apply to, by field, pay and kind of work. It happens on this site, so nobody else can count it.

  • 39 lab and vendor hiring boards

    The job boards of 25 AI labs and 14 human-data vendors, read every day: who is hiring for human data, and who is hiring to buy it.

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Method and definitions

The public job boards of the AI training platforms this site tracks, read every day. 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.

Title word
A role counts for a word when its title contains it (whole words, case-insensitive), with its plural and close variants; a title can count for several.
Advertised pay
The hourly figure a posting states (the middle of a stated range). Medians need at least 8 roles stating a rate; the middle half runs from the 25th to the 75th percentile.
Open role
A role listed by a given day and still in its platform's feed that day.
Window
Live: the last 28 complete days, in UTC. Edition: one calendar month, in UTC.

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.

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. Live figures change daily: cite a monthly edition for numbers that will read the same later, or keep the access date.

Citation

AITraining.jobs (2026). AI Training Job Titles (live data, 22 Sep 2026 to 19 Oct 2026). https://aitraining.run/research/ai-training-job-titles (accessed 20 Oct 2026)

BibTeX

@misc{aitrainingjobs_ai_training_job_titles_live,
  author = {{AITraining.jobs}},
  title = {AI Training Job Titles (live data, 22 Sep 2026 to 19 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://aitraining.run/research/ai-training-job-titles}},
  note = {Accessed 20 Oct 2026},
}
Data: every figure as CSV (one line per value) and JSON, sent to your work email.Pay and open-roles data

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