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Start with the work that needs to get done. Each page connects one canonical outcome to relevant product categories and evidence-backed product support.
74 jobs
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Decide what to localize for which markets, and make code, designs and source content ready for other languages.
Decide which markets, languages and content tiers to localize first using demand, revenue and cost evidence.
Externalize strings and build locale-aware formatting, plural and gender handling and right-to-left support before translation starts.
Find hard-coded strings, missing keys, broken placeholders and truncation with pseudo-localization, static analysis and CI checks before translation begins.
Preview text expansion and translate interface copy inside design files so layout problems surface before development.
Make source text clearer, more consistent and better structured so translation costs less and needs less rework.
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Bring translatable content from repositories, content systems, stores, files, game engines and media into the localization pipeline, continuously.
Keep source strings and translations synchronized with Git on every commit and branch, creating translation work automatically.
Move string tables and localized assets between game engines and localization tools without manual export and import.
Send content from CMS, marketing-automation and email tools into translation and return translations without downloads or copy-paste.
Translate and serve a website through a proxy, JavaScript layer or plugin when deep CMS integration is not feasible or a market must launch quickly.
Pull product content from PIM and commerce platforms and keep every language current as products and attributes change.
Detect changes to knowledge-base and help-center articles and keep every language version current.
Convert and filter formats such as XLIFF, DITA, InDesign, subtitles and software resources so tags, code and layout stay protected.
Produce time-coded transcripts of speech in audio and video as the source for subtitles, captions and dubbing.
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Set up the work: estimate it, supply context, choose the workflow and assign translators, vendors or interpreters.
Estimate effort, cost and turnaround from word counts, translation-memory leverage, services and deadlines.
Supply screenshots, UI location, character limits, speaker and tone notes so translators and reviewers do not have to guess.
Define quality levels and acceptance criteria per content type, and route each item to raw MT, post-editing, human translation or transcreation by risk and value.
Chain translation, revision, review and sign-off steps with checkpoints and role-based approvals.
Assign jobs to suitable linguists or vendors and track progress and deadlines across languages, vendors and time zones.
Collect, answer and share translator questions and source issues instead of scattering them across email.
Find, book and schedule qualified interpreters for sessions and manage their availability and credentials.
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Produce target-language text, subtitles, voice and live interpretation with people, machines or both.
Apply translation-memory matches so approved translations are reused, cutting cost and keeping wording consistent.
Produce a first draft with machine translation or large language models grounded in translation memory, glossary and style guide.
Upload documents and receive machine or AI translations that keep their formatting, with optional glossary control.
Translate productively with translation-memory and termbase suggestions, predictive typing, inline QA and format preservation.
Correct MT or AI output to an agreed light or full post-editing standard such as ISO 18587.
Edit ICU plural and gender forms, placeholders and tags in an interface that stops translators from breaking the code.
Buy professional human or human-reviewed translation through self-serve ordering, an integration or an API without managing individual translators.
Adapt slogans, campaigns and creative copy so they persuade locally while keeping brand intent.
Create new text or video directly in several languages from briefs, templates, scripts and style guides.
Translate and adapt subtitles within reading-speed, line-length, timing and positioning rules.
Produce dubbed or voice-over audio with AI or human voices, including voice cloning and lip-sync, refined by people for timing and delivery.
Produce same-language captions and subtitles for the deaf and hard of hearing that meet accessibility requirements such as WCAG.
Deliver human simultaneous or consecutive interpretation to online and hybrid meetings, conferences and town halls.
Connect to a qualified interpreter by phone or video within minutes for appointments, calls and public services.
Provide machine interpretation or translated live captions for meetings, events and conversations without a human interpreter.
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Catch and correct errors before release through automated checks, quality estimation, in-context review, testing and sign-off.
Check translations for placeholder, tag, number, length, terminology and consistency errors before release.
Estimate the quality of MT or AI output per segment, auto-approve or auto-correct confident segments and send the rest to human review.
Check translations as they will appear in the product, design or web page before release.
Let in-country, client or subject-matter reviewers comment on, correct and approve translations before publication.
Test localized apps and games on real builds, log linguistic, layout and functional bugs, and verify the fixes.
Evaluate samples against agreed criteria and an error typology such as MQM, and turn the findings into comparable quality scores.
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Put localized content back into builds, apps, websites, stores and media platforms where users meet it.
Return translated strings and files to repositories, builds and authoring systems without breaking encoding, IDs or placeholders.
Deliver new or corrected translations to live apps and sites through an SDK or CDN without waiting for a release.
Publish translated pages with localized URLs, hreflang, sitemaps and metadata so each language can be found in search.
Localize store titles, descriptions, keywords and screenshots for each market in step with the app.
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Track cost, speed, quality and business impact, and feed the lessons back into budgets, assets and engines.
Track spend, turnaround, throughput and on-time delivery by language, vendor and content type, and report them to stakeholders.
Forecast volume and spend, and manage budgets and vendor costs against them.
Connect localized content to traffic, rankings, conversion, revenue and user feedback in each locale.
Track acceptance, edit distance and time-to-edit for MT and AI output to tune engines, prompts and routing thresholds.
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Build, maintain and exchange the translation memories, termbases and style rules that every stage reuses.
Build translation memories from existing source and target documents by aligning them.
Organize, share, clean and update translation memories across projects and clients, removing stale or inconsistent entries.
Import and export translation memories, termbases and bilingual files as TMX, TBX and XLIFF to change tools and work with partners.
Maintain approved termbases per language and market, including product, character and proper-noun lists, and make them available in every tool.
Apply approved terms automatically in MT and AI output and flag deviations during translation and review.
Identify candidate terms in new content so glossaries keep pace with the product.
Keep style rules, tone and brand voice applied consistently by translators, reviewers and AI.
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Choose, adapt, evaluate and control the machine translation engines and language models used across the pipeline.
Select and orchestrate several MT engines and language models by language pair and content type.
Adapt engines and models to your content with custom training, glossaries or prompts.
Benchmark engines, models and prompts on your own content before rollout and after changes.
Run MT engines and language models with your own keys, self-hosted or on-premises deployment and no-training terms.
Connect systems through APIs, connectors and middleware, and automate work across tools.
Script and integrate localization steps using APIs, command-line tools, SDKs and webhooks.
Bridge content systems, translation platforms, MT engines and vendors through middleware when no native connector exists.
Trigger and coordinate steps across systems, from content ready through MT, quality thresholds and human review to publishing, with rules or AI agents, and notify teams where they work.
Source and manage linguists, vendors and clients, and run quotes, invoices and payments.
Find, vet and onboard translators, reviewers and language vendors from your own network or a marketplace.
Negotiate rates and service levels and track vendors on quality, turnaround and cost.
Handle quotes, purchase orders, client invoices, vendor payments and project margins.
Let clients order, track and download translation work in a portal.
Find clients and projects, accept tasks and get paid as a freelance linguist.
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Control access, data handling, AI use, standards and rights obligations for localization content.
Manage single sign-on, roles and granular permissions for internal teams, vendors and reviewers.
Keep content in required regions, encrypted and under agreements that prohibit training on it.
Set policies, approvals and reporting for how teams and vendors use AI on localization content.
Record who translated, reviewed and approved each version, including AI steps.
Demonstrate conformity with ISO 17100 and ISO 18587, privacy and sector rules, and obtain certified or sworn translations where required.
Obtain and track consent, rights and usage limits for cloned voices and synthetic performances.