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Research report ยท Live data

AI Training Job Titles

On 17 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
20 Sep 2026 to 17 Oct 2026
28 days, UTC
Computed
18 Oct 2026, 16:48 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.

open roles on 17 Oct 2026
3,668
title words tracked
16
of roles are titled "Expert or SME"
24%
median for "Voice actor or speaker" titles
$100/hr

Key findings

  1. 1

    The most common title words were Expert or SME (23.7% of open roles), Trainer (18.7% of open roles) and Specialist (16.4% 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 1.7% of open roles carry a senior, staff or principal title; they advertised a median of $76/hr against $65/hr for roles with no level in the title.

    Figure 4
  4. 4

    16.1% 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
871
23.7%
Trainer
687
18.7%
Specialist
600
16.4%
Voice actor or speaker
391
10.7%
Engineer or developer
301
8.2%
Analyst or researcher
258
7.0%
Annotator or labeler
242
6.6%
Contributor or participant
194
5.3%
Evaluator or reviewer
179
4.9%
Quality assurance
169
4.6%
Lead or manager
156
4.3%
Rater
73
2.0%
Writer or editor
70
1.9%
Linguist or translator
36
1.0%
Red teamer or tester
23
0.6%
Tutor
16
0.4%

Sample. 3,668 roles open at the end of 17 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
$79
$44 to $90
Engineer or developer
$65
$50 to $85
Expert or SME
$65
$40 to $83
Specialist
$65
$37 to $65
Trainer
$65
$37 to $65
Lead or manager
$56
$30 to $77
Analyst or researcher
$50
$27 to $85
Contributor or participant
$45
$30 to $100
Evaluator or reviewer
$43
$26 to $79
Linguist or translator
$40
$30 to $65
Tutor
$40
$40 to $40
Writer or editor
$35
$23 to $100
Annotator or labeler
$23
$17 to $29
Quality assurance
$23
$15 to $65
Rater
$9
$4 to $20

Sample. Roles open on 17 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?

PlatformMost-used title wordIts share of the platform's roles
InvisibleTrainer
98.1%
AlignerrExpert or SME
19.7%
SuperAnnotate (SME)Expert or SME
34.0%
MindriftVoice actor or speaker
54.9%
micro1Expert or SME
20.6%
Welo DataRater
27.7%
MercorExpert or SME
40.6%
AfterQueryExpert or SME
69.6%
TuringExpert or SME
28.5%
Handshake AIExpert or SME
25.3%
Anyone AIExpert or SME
75.8%
Sigma AILinguist or translator
25.6%
BraintrustContributor or participant
24.4%
Perle LabsAnnotator or labeler
85.1%
TransPerfect DataForceVoice actor or speaker
31.8%
ClaruAnnotator or labeler
13.3%
AppenContributor or participant
32.7%
Babel AudioAnnotator or labeler
46.5%
OpenTrain AIAnnotator or labeler
26.2%
RemoExpertsExpert or SME
25.0%
OneFormaEvaluator or reviewer
33.3%
TeracEvaluator or reviewer
45.5%
Sovrano AIExpert or SME
75.0%
VettoExpert or SME
80.0%
xAI (SpaceXAI)Tutor
100.0%
Pasiflora AISmall sampleEvaluator or reviewer
42.9%
Outlier (Scale AI)Small sampleEvaluator or reviewer
100.0%
RemotasksSmall sampleSpecialist
33.3%
Pila8Small sampleContributor or participant
100.0%

Sample. 3,668 roles open at the end of 17 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 principal64
1.7%
$76
Lead or manager167
4.6%
$55
Junior, entry or associate24
0.7%
$61
Intern or studentSmall sample2
0.1%
n/a
None of these words3,413
93.0%
$65

Sample. 3,668 roles open at the end of 17 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
Freelance591
16.1%
$65
Contract10
0.3%
$86
Part-timeSmall sample5
0.1%
n/a
Full-timeSmall sample0
0.0%
n/a
Remote154
4.2%
$23
On-site or hybrid38
1.0%
n/a
None of these words2,877
78.4%
$60

Sample. 3,668 roles open at the end of 17 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:

  • 9,572 roles tracked, each with its history

    Every role on 29 job boards, read daily since 13 Jul 2026: its pay and place, and the first and last day it was open.

  • 6,200 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, 20 Sep 2026 to 17 Oct 2026). https://www.aitraining.team/research/ai-training-job-titles (accessed 18 Oct 2026)

BibTeX

@misc{aitrainingjobs_ai_training_job_titles_live,
  author = {{AITraining.jobs}},
  title = {AI Training Job Titles (live data, 20 Sep 2026 to 17 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://www.aitraining.team/research/ai-training-job-titles}},
  note = {Accessed 18 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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