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Hungarian Specialist; AI Training

Job in Toronto, Ontario, C6A, Canada
Listing for: DataAnnotation
Full Time, Apprenticeship/Internship position Listed on 2026-11-09
Job specializations:
  • Language/Bilingual
    AI Evaluation, Data Annotation/ AI Labeling
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 40 CAD Hourly CAD 40.00 HOUR

Job Description & How to Apply Below

Position: Hungarian Specialist (AI Training)
Overview

We’re looking for an experienced Hungarian Specialist to help train AI models. You’ll test how well the models understand and write in Hungarian, check their reasoning, and help raise the quality of each new version. This is a new area for our company: teaching AI to communicate naturally in Hungarian, with the grammar, tone, and cultural knowledge of a native speaker.

What

you’ll actually do
  • Write prompts in Hungarian on a wide range of everyday and specialized topics.
  • Review AI responses for grammar, fluency, and natural phrasing, and check that they reflect local culture and current context.
  • Compare model responses side by side and choose the stronger one.
  • Translate between Hungarian and English while preserving meaning and tone.
  • Fact-check AI responses and flag anything inaccurate or misleading.
Roles this fits

Common backgrounds:
Hungarian Specialist, Hungarian Translator, Bilingual Tutor.

What we look for
  • Native or near-native fluency in Hungarian.
  • Fluency in English (native or bilingual level).
  • Strong writing skills in both languages, with close attention to detail.
  • A bachelor’s degree (completed or in progress) is preferred but not required.
Compensation

Up to $40/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.

Working Hours

Flexible hours

Contract Type

Independent contractor

Payouts

Weekly

About Data Annotation

Data Annotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.

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