Intento@HelloIntento

Enabling global companies to translate 20x more on the same budget, making their customer and employee experience instantly multilingual

 San Francisco, CA
inten.to
Joined March 2016
365 Photos and videos
1/ After the study of what people said about the localization job at LocWorld55, we went through what employers do, the open in-house positions and the people they appointed over the summer. The full analysis and the list of positions that are still open are in this thread.
Localization jobs in Q3 2026. AI labs are hiring, linguists in demand, 22 open director-level positions. 619 open positions, 308 recent appointments, 22 director-level seats. A donut of 927 new localization jobs by role type: translators and linguists 36%, management 20%, program and project 19%, engineering and i18n 7%, media production 6%, quality and LQA 4%, AI, MT and data 2%, other 6%.

ALT Localization jobs in Q3 2026. AI labs are hiring, linguists in demand, 22 open director-level positions. 619 open positions, 308 recent appointments, 22 director-level seats. A donut of 927 new localization jobs by role type: translators and linguists 36%, management 20%, program and project 19%, engineering and i18n 7%, media production 6%, quality and LQA 4%, AI, MT and data 2%, other 6%.

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3/ Four in ten appointees came from outside localization. Most director seats went to insiders. Engineering is one record in fifteen. Europe has the largest share of the jobs. One posting in four is remote.
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4/ Ten common claims about localization careers checked against 619 open positions at 435 companies, 22 director-level, and 308 appointments: inten.to/blog/localization-j… The 610 open positions with links: docs.google.com/spreadsheets…

Localization jobs in Q3 2026: AI labs are hiring, linguists in demand, 22 open director-level...

Ten claims about localization careers checked against 619 open in-house positions at 435 companies and 308 recent appointments, with the open positions as a spreadsheet.

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We've published Intento Translation Portal for ServiceNow in the ServiceNow Store. Your employees can translate text and documents in 650+ languages inside the Service Portal, with AI checks against company translation requirements. Launch details below.
Intento Translation Portal for ServiceNow: on-demand text and file translation inside the Service Portal, under company translation rules

ALT Intento Translation Portal for ServiceNow: on-demand text and file translation inside the Service Portal, under company translation rules

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Read more on the Intento blog: inten.to/blog/translation-po…

A translation portal for ServiceNow puts shadow translation under company rules

A translation portal for ServiceNow brings employee text and file translation into the Service Portal, with company rules and a central audit log.

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A translation can break the rules in your brief and still outscore the correct version on COMET. On locale formatting that happens 36 to 47% of the time, in all four languages. On gender neutrality in German and Spanish, more often than not.
Cover: A good score is not a good fit — a customizable framework for requirements-based LQA. Daria Sinitsyna, Lead AI Engineer at Intento, with the AMTA Québec City 2026 logo.

ALT Cover: A good score is not a good fit — a customizable framework for requirements-based LQA. Daria Sinitsyna, Lead AI Engineer at Intento, with the AMTA Québec City 2026 logo.

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The full study, and what to check instead of a general quality score: inten.to/blog/requirements-b…

A good score is not a good fit: requirements-based LQA

We scored 84,000 machine translations with COMET and with requirement checks. About half the time, COMET ranks a violation above a correct translation.

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Two rooms at LocWorld55 applauded opposite claims about the localization job: the playbook is dead, and the manager isn't going anywhere. We counted 380 tasks and 107 recurring workflows across all 38 sessions. Both rooms were right. inten.to/blog/localization-r…
Report cover: The Localization Reshuffle, Measured. What 38 LocWorld sessions reveal about the job AI is actually building. 380 observed tasks, 43 canonical tasks, 107 recurring loops. A grid of task cards, each marked AI end to end, human plus AI, or stays human.

ALT Report cover: The Localization Reshuffle, Measured. What 38 LocWorld sessions reveal about the job AI is actually building. 380 observed tasks, 43 canonical tasks, 107 recurring loops. A grid of task cards, each marked AI end to end, human plus AI, or stays human.

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Of the 380 tasks people described on stage, 16% run on AI end to end, 51% are humans and AI working together, 29% stay fully human, and 4% are things teams want from AI and can't make work yet.
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The explorer covers all 107 loops and 43 responsibilities, so a team can look up its own tasks and see who does each one today.
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Slide decks from #LocWorld55 put 21% of the localization job on AI end to end. The same speakers' talks and Q&A put it at 16%. Decks show the pipeline as designed. Talks show where people are still needed, and that's more tasks than the slides let on.
Slope chart: verdict shares counted from slide decks alone (166 tasks) against the full spoken record (380 tasks). AI end to end falls from 21% to 16%, human plus AI rises from 46% to 51%, stays human holds at 29%, wanted but not working yet holds at 4%.

ALT Slope chart: verdict shares counted from slide decks alone (166 tasks) against the full spoken record (380 tasks). AI end to end falls from 21% to 16%, human plus AI rises from 46% to 51%, stays human holds at 29%, wanted but not working yet holds at 4%.

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The longer version, with one talk whose slides and Q&A give both counts: linkedin.com/feed/update/urn…. The full research will be published on the Intento blog on Wednesday, Sep 9.

I found a curious discrepancy between the LocWorld55 slides and the talks. Going by the decks...

I found a curious discrepancy between the LocWorld55 slides and the talks. Going by the decks alone, 21% of the localization tasks people described run on AI end to end. Going by the transcripts,...

linkedin.com
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In the 2026 State of Translation Automation we score a language only if 2 unrelated metrics agree on it: 2 embedding models, or 2 quality-estimation models. 7 of 100 fail both pairs, so we decided not to score them: Haitian Creole, Igbo, Maltese, Sesotho, Turkmen, Uyghur, Xhosa.
Card: before we score a language, 2 metric pairs must agree. Semantic similarity: LaBSE and Cohere embed v3. Quality estimation: COMET-Kiwi XL and MetricX-24. 93 languages: either pair agrees, we score them. 7: neither pair agrees, 'not reliably measurable'.

ALT Card: before we score a language, 2 metric pairs must agree. Semantic similarity: LaBSE and Cohere embed v3. Quality estimation: COMET-Kiwi XL and MetricX-24. 93 languages: either pair agrees, we score them. 7: neither pair agrees, 'not reliably measurable'.

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Why 7 of 100 languages get no scores in the 10th State of Translation Automation, from Konstantin Savenkov: linkedin.com/feed/update/urn…

Language Quality Measurement Across 100 Languages | Konstantin Savenkov posted on the topic |...

We ran the 2026 benchmark across 100 languages, as it matches what we see inside enterprises: broad language coverage fast, then people and budget on the languages where feedback shows the quality...

linkedin.com
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A high COMET score doesn't mean the translation followed your termbase, your locale rules or your style guide: 46% of the 9,217 requirement violations we found score above 0.90. Daria Sinitsyna compares requirements-based LQA with COMET at AMTA 2026 tomorrow.
Cover for the AMTA 2026 talk: A good score is not a good fit - a customizable framework for requirements-based LQA. Talk, September 2. Daria Sinitsyna, Lead AI Engineer at Intento, with the AMTA Quebec City 2026 logo.

ALT Cover for the AMTA 2026 talk: A good score is not a good fit - a customizable framework for requirements-based LQA. Talk, September 2. Daria Sinitsyna, Lead AI Engineer at Intento, with the AMTA Quebec City 2026 logo.
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We built 121 solutions on 53 AI models from 36 providers and translated English into 100 languages, to find the model and harness that reach the quality you need for a given language and set of requirements. The 10th State of Translation Automation, full report in mid-October.
Card: what quality is achievable, per language and per requirement. 121 solutions, 53 AI models, 100 languages, 3 requirement groups.

ALT Card: what quality is achievable, per language and per requirement. 121 solutions, 53 AI models, 100 languages, 3 requirement groups.
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Shadow localization: another team localizes on its own, the loc team finds out, the work comes back. Five separate @LocWorld 55 talks told that loop, stage for stage. Of 107 recurring loops from 38 sessions, 87 were described independently by more than one company.
Card: the same shadow-localization loop told in five separate LocWorld55 talks — Dell and Uber, KAYAK, Booking.com, Coca-Cola Europacific Partners, and a panel on fragmentation.

ALT Card: the same shadow-localization loop told in five separate LocWorld55 talks — Dell and Uber, KAYAK, Booking.com, Coca-Cola Europacific Partners, and a panel on fragmentation.
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39 gates turned up across the 107 localization loops, looking like different jobs: thresholds, in-country reviews, ethics approvals, exception queues. 28 of them are one responsibility: deciding whether it ships. For a seat labeled reviewer, the core was never the post-editing.
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The four-rung ladder behind it, and what the gates decide: linkedin.com/feed/update/urn… — the full loop analysis is running on LinkedIn.

Automation leaves human gatekeepers in the loop | Konstantin Savenkov posted on the topic | LinkedIn

Teams often come out of automation projects busier, not idler. I think the localization loops from LocWorld55 explain it. A median loop runs through about three of the 43 responsibilities, and...

linkedin.com
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