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PDF Annotation & Transcription Experts - Japanese

Job in Houston, Harris County, Texas, 77246, USA
Listing for: AI Trainer Jobs
Part Time position
Listed on 2026-10-09
Job specializations:
  • Language/Bilingual
    AI Evaluation, Data Annotation/ AI Labeling
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 34 USD Hourly USD 34.00 HOUR
Job Description & How to Apply Below
About the role

PDF Annotation & Transcription Experts - Japanese is a remote Japanese specialist track for evaluating japanese annotation outputs against native-speaker standards. Reviewers spot fluency, register, and cultural-context errors that automated checks miss, and write structured rationale that the modeling team can act on in the next training cycle.
Multilingual model quality depends on reviewers who can read Japanese the way a native speaker does. Aura One uses these reviewers to set the bar for tone, formality, and cultural register before a model ever ships to Japanese users.
Review translation and localization work. Dialect and cultural context matter here.

Responsibilities
  • Evaluate Japanese model responses for fluency, accuracy, register, and cultural fit for PDF Annotation & Transcription Experts
    - Japanese assignments.
  • Compare paired japanese annotation outputs and pick the stronger response with a written rationale.
  • Flag hallucinations, code-switching errors, and formality mismatches with task‑specific severity tags.
  • Capture native‑speaker edits that demonstrate the correct phrasing alongside each issue.

Role details

Track Language evaluation Work model Remote Independent specialist contractor Compensation $34 / hr Eligible from US

What you should bring

  • Native or near‑native Japanese fluency with strong written-English ability for PDF Annotation & Transcription Experts
    - Japanese work.
  • Demonstrable experience editing, translating, or evaluating Japanese content.
  • Comfort applying multi‑page rubrics consistently across long evaluation batches.
  • Clear written reasoning that names the issue and the standard being applied.
  • Reliable async availability for at least 10 hours per week.
  • Prior model‑evaluation, annotation, or human‑rater experience is a plus.

Role signals

Example tasks

  • Score a pair of Japanese responses to a customer‑support prompt and pick the better one with a 1‑2 sentence rationale.
  • Flag formality mismatches in japanese annotation outputs (T/V usage, honorifics, regional register).
  • Rewrite a model's Japanese response so it reads naturally and tag the original error category.
  • Audit a 50‑row evaluation batch for rubric consistency and surface drift back to the program lead.

Useful experience

  • Background in Japanese linguistics, journalism, or translation studies.
  • Experience with TMS tools, MQM error taxonomies, or other structured QA frameworks.
  • Familiarity with LLM evaluation rubrics and inter‑rater agreement workflows.

Compensation and schedule

$34 / hr
Expected arrangement: contractor , with program‑defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

  • Multilingual evaluation
  • Native‑speaker review
  • Rubric application
  • LLM output evaluation
  • Japanese annotation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

  • 01 Confirm profile and eligibility details.
  • 02 Attach this role deliberately.
  • 03 Receive a human review decision or follow‑up.
    Placement timing depends on program demand and reviewer confirmation.
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