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French (Canada) Translation Quality Rater
Weloglobal · Canada · Remote · Active · $27–$27 / hour · Lever
Job facts
| Field | Value |
|---|---|
| Company | Weloglobal |
| Title | French (Canada) Translation Quality Rater |
| Normalized title | - |
| Department / team | Welo Data - AI Services / AI Service General Application |
| Location | Canada |
| Work model | Remote / Remote |
| Employment type | Freelance |
| Salary | $27–$27 / hour |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-01-26 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Weloglobal. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Welo Data - AI Services. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Weloglobal |
| Source | 2de9659a-8a12-48c4-a4ac-ed217a8126d1 |
| ATS provider | Lever |
Description
We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining French (Canada) Translation Quality Rater customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.
What you’ll do
Edit and review machine-translated customer service content with a high level of accuracy and consistency.
Evaluate MT output quality and apply severity ratings when required, following project guidelines.
Produce high-quality human translations as reference data for model training and quality evaluation.
Follow provided style guides, tone rules, and terminology requirements.
Identify and report recurring MT quality issues and batch-level trends.
Project details
Language: French (Canada)
Content type: Customer service content (general)
Project duration: OngoingThis role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.
Hourly rate: $27.23
Requirements
Native proficiency in French (Canada) and strong English skills. Experience in translation, localization, or MT post-editing. Familiarity with machine translation quality evaluation and error identification. Strong attention to detail and a quality-focused mindset. Ability to work independently in an online environment.
Full job record
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| Org ID | aaa67d5b-8ec7-460b-a038-61d104e5a3fa |
| Source ID | 2de9659a-8a12-48c4-a4ac-ed217a8126d1 |
| Board ID | 2de9659a-8a12-48c4-a4ac-ed217a8126d1 |
| Provider | lever |
| Provider Job Key | 2cca0b26-9603-452c-9b36-22c3fef95478 |
| Title | French (Canada) Translation Quality Rater |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Canada |
| Department | Welo Data - AI Services |
| Team | AI Service General Application |
| Employment Type | Freelance |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | Canada |
| Region | — |
| City | — |
| Salary Raw | USD 27.23-27.23 per-hour-wage |
| Salary Min | 27.23 |
| Salary Max | 27.23 |
| Salary Currency | USD |
| Salary Period | hour |
| Source URL | https://jobs.lever.co/weloglobal/2cca0b26-9603-452c-9b36-22c3fef95478 |
| Apply URL | https://jobs.lever.co/weloglobal/2cca0b26-9603-452c-9b36-22c3fef95478/apply |
| First Seen At | 2026-05-29 06:57:57Z |
| Last Seen At | 2026-06-06 19:47:59Z |
| Last Checked At | 2026-06-06 19:47:59Z |
| Last Changed At | 2026-05-29 06:57:57Z |
| Inactive At | — |
| Source Posted At | 2026-01-26 07:06:48Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=weloglobal/date=2026-06-06/2026-06-06T19-47-57-590Z-a8314e8556cf13e2132f166d6aa55bcdff4868d19f6a4b0a04468a0297f7ea58.json |
Event Fields
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