Key findings
There is not enough data in this window to state findings.
Figure 1
Programming languages named in role titles
Which programming languages do AI training job titles ask for?
No data in this window.
Sample. 0 of the 0 roles open at the end of 10 Nov 2026 name a programming language in their title, 0 of them among the 0 Coding & Software Evaluation roles.
Names that are also ordinary words or letters (Go, C, R, Swift, Rust, Ruby, Dart, Julia, Lean) count only in a programming context: an explicit phrase ('Golang', 'C/C++', 'R programming', 'Lean 4'), a list beside another language ('Java, Go, Rust'), or the head of a title before a role word ('Go Code Review Developer').
A title naming two languages counts for both. Share of coding roles: of all 0 open Coding & Software Evaluation roles. The median needs 3 roles stating an hourly rate.
No row with any roles naming it is a small sample: the rows differ so much that each reads on its own from its first.
Source. AITraining.jobs Research, Programming Languages in AI Training, live data.
Figure 2
Programming languages named in role descriptions
Which languages do the full job descriptions name, in coding work and beyond?
No data in this window.
Sample. 0 roles open on 10 Nov 2026 whose job board publishes a full description (), n/a of the 0 open roles; 0 of them are Coding & Software Evaluation roles.
Names that are also ordinary words or letters (Go, C, R, Swift, Rust, Ruby, Dart, Julia, Lean) count only in a programming context: an explicit phrase ('Golang', 'C/C++', 'R programming', 'Lean 4'), a list beside another language ('Java, Go, Rust'), or the head of a title before a role word ('Go Code Review Developer').
Descriptions often list several accepted languages ('Python, Java, Rust, Go, C++ or TypeScript'): each one counts, so a role is counted once per language it names.
The four platforms that publish descriptions are expert networks; their roles lean towards expert and senior work.
No row with any roles naming it is a small sample: the rows differ so much that each reads on its own from its first.
Source. AITraining.jobs Research, Programming Languages in AI Training, live data.
Figure 3
Advertised pay by programming language
What does AI training work in each programming language pay?
No data in this window.
Sample. Roles open on 10 Nov 2026 that name the language and state an hourly rate, of any kind of work; 0 of the 0 Coding & Software Evaluation roles state one.
A language counts when the title names it or, for roles at (the job boards that publish a full description), when the description does.
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. Languages whose roles state fewer than 3 distinct rates are listed last, without a median.
A median whose priced roles come from fewer than 3 platforms is marked and not ranked: it describes those platforms' listings (often a family of roles at one advertised range), not the language.
Mostly in: the kind of work most of the roles naming the language belong to. A language named mainly outside coding (R in statistics roles, for example) is paid as that work is.
Roles that list several accepted languages carry one rate for all of them, so languages named together share their pay: the differences between them are smaller than the table's precision suggests.
Source. AITraining.jobs Research, Programming Languages in AI Training, live data.
Figure 4
Languages named by each platform's coding roles
Which platforms hire coders for which languages?
No data in this window.
Sample. 0 Coding & Software Evaluation roles open on 10 Nov 2026, by the platform that lists them. Language columns: the share of the platform's coding roles naming each of the 0 languages named most often.
A language counts when the title names it or, for roles at (the job boards that publish a full description), when the description does.
A platform whose titles are generic ('Software Engineer') and whose board publishes no description shows few languages: that is what its listings say, not what its projects use.
Listings only: a count of open roles, not of hires or applications.
No row with any open coding roles is a small sample: the rows differ so much that each reads on its own from its first.
Source. AITraining.jobs Research, Programming Languages in AI Training, live data.
Figure 5
Programming languages beyond coding roles
Which other kinds of AI training work ask for a programming language?
No data in this window.
Sample. 0 roles open on 10 Nov 2026; 0 roles outside Coding & Software Evaluation name a programming language.
A language counts when the title names it or, for roles at (the job boards that publish a full description), when the description does.
Shares are of each kind's open roles on every platform, including those whose descriptions are not published, so they are floors.
No row with any open roles is a small sample: the rows differ so much that each reads on its own from its first.
Source. AITraining.jobs Research, Programming Languages in AI Training, live data.
Figure 6
Frameworks and tools named in coding role descriptions
Beyond the language, which frameworks and tools do coding roles name?
No data in this window.
Sample. 0 roles open on 10 Nov 2026 whose job board publishes a full description (), n/a of the 0 open roles; 0 of them are Coding & Software Evaluation roles.
Words that are also ordinary words or other sciences' terms ('angular momentum', a laboratory flask, Unity) count only in a software context.
A tool named in a list of options counts like a requirement: the figure counts mentions.
Source. AITraining.jobs Research, Programming Languages in AI Training, live data.
Figure 7
Coding roles that name no language
How many coding roles say which language the work is in?
| What the posting says | Open coding roles | Share |
|---|---|---|
| The title names a languageSmall sample | 0 | n/a |
| Only the description names oneSmall sample | 0 | n/a |
| The description names noneSmall sample | 0 | n/a |
| The title names none; no description publishedSmall sample | 0 | n/a |
Sample. 0 Coding & Software Evaluation roles open on 10 Nov 2026; descriptions are read for the 0 of them at .
Names that are also ordinary words or letters (Go, C, R, Swift, Rust, Ruby, Dart, Julia, Lean) count only in a programming context: an explicit phrase ('Golang', 'C/C++', 'R programming', 'Lean 4'), a list beside another language ('Java, Go, Rust'), or the head of a title before a role word ('Go Code Review Developer').
The kind of work also holds some engineering roles outside software (CAD, hardware, audio engineering) where no programming language is expected: part of the roles naming none are those.
The median needs 3 roles stating an hourly rate.
Source. AITraining.jobs Research, Programming Languages in AI Training, live data.
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The figures above are a summary. Behind them are records we collect ourselves, every day:
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Every role on 0 job boards, read since n/a (every hour since 18 Oct 2026): its pay and place, and the first and last day it was open.
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Which roles people actually apply to, by field, pay and kind of work. It happens on this site, so nobody else can count it.
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Method and definitions
The public job boards of the AI training platforms this site tracks, read every hour. Languages are read from role titles on every platform, and from the full descriptions of the roles whose job board publishes one. 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.
- Language named
- A role names a language when its title does, or, at the platforms that publish a full description, when its description does. Matching is on whole words, case-insensitive, with the documented pattern of each language. A role naming several languages counts for each; descriptions often list several accepted languages.
- Names that are also words
- Go, C, R, Swift, Rust, Ruby, Dart, Julia and Lean count only in a programming context: an explicit phrase ('Golang', 'C/C++', 'R programming', 'Lean 4', 'iOS/Swift'), a list beside another language ('Java, Go, Rust', 'Python or R'), or the head of a title before a role word ('Go Code Review Developer'). The bare name counts only written with its capital, so the verb 'go' and 'lean manufacturing' never do.
- Coding role
- A role this site classifies as Coding & Software Evaluation, one of the twelve kinds of AI training work. Languages named in other kinds of work (Math & STEM, AI evaluation, agentic tasks) are counted separately.
- Pay by language
- The median hourly rate advertised by the roles naming a language, of any kind of work. A median needs 3 roles stating a rate, and is ranked only when those roles come from at least 3 platforms; a median resting on fewer platforms is shown, marked, and not ranked.
- Framework or tool
- A library, framework, cloud, infrastructure or developer tool named in a description (React, PyTorch, Kubernetes, AWS, Git), each with a documented pattern; words shared with other fields ('angular momentum', a laboratory flask) count only in a software context.
- Coverage
- Titles are read on every platform; full descriptions only where the job board publishes them (Mercor, micro1, AfterQuery and Braintrust, about three in ten open roles). Each figure states which it reads.
- Open role
- A role listed by a given day and still in its platform's feed that day.
- 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, from AI evaluation and coding to multilingual and audio work. Every kind links to its own page.
- 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.
- Descriptions are read only for the platforms that publish them, which are expert networks: description figures lean towards expert and senior work, and coding roles elsewhere are read from their titles alone, so many name no language.
- Roles listing several accepted languages carry one rate for all of them, so the pay of languages named together differs less than the table suggests; a mention may be a preference rather than a requirement.
- The coding kind of work also holds some engineering roles outside software (CAD, hardware, audio engineering), which name no programming language.
- A pattern can miss a language written in an unusual way; nothing is inferred beyond what the text says (an 'iOS' or 'Android' title names a platform, not a language).
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 data (this page)Last 28 complete days, recomputed daily
- October 2026 editionFreezes on first reading
Cite and reuse
Free to quote, chart and republish under CC BY 4.0 (creativecommons.org/licenses/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). Programming Languages in AI Training (live data, 14 Oct 2026 to 10 Nov 2026). https://cyberjobs.cc/research/programming-languages-in-ai-training (accessed 11 Nov 2026)
BibTeX
@misc{aitrainingjobs_programming_languages_in_ai_training_live,
author = {{AITraining.jobs}},
title = {Programming Languages in AI Training (live data, 14 Oct 2026 to 10 Nov 2026)},
year = {2026},
howpublished = {\url{https://cyberjobs.cc/research/programming-languages-in-ai-training}},
note = {Accessed 11 Nov 2026},
}More research
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