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I have a year-long project that needs a sharp eye for Hebrew. Each week I will send you small batches of machine-translated content—mainly technology-related—and ask you to compare them against the English source. Your job is not to rewrite; instead, you’ll decide, in a simple Pass/Fail style, whether the Hebrew rendition captures the original meaning, respects correct grammar, and reads naturally. Because the focus is machine-translated content, consistency is critical. I’ll provide clear guidelines so every judgment you make on accuracy, grammar, and natural flow lines up with the rest of the team’s assessments. Most contributors spend about 1–5 flexible hours per week, and you can log in whenever it suits you. If you bring prior experience in translation, localization, or linguistic evaluation, that’s a welcome bonus, but the core requirements are native-level Hebrew, strong reading skills, and close attention to detail. After a short onboarding, you’ll gain access to the review platform and can start rating right away.
Project ID: 40547700
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Active 5 days ago
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2 freelancers are bidding on average $19 USD/hour for this job

Hello, I am interested in this project. I have experience working with Hebrew, English, and Arabic content, including translation, transcription, and linguistic review tasks. I understand that the goal is not to rewrite the translations but to evaluate whether the Hebrew text accurately reflects the English source, uses correct grammar, and sounds natural to native readers. I am detail-oriented, reliable, and comfortable following detailed guidelines to ensure consistent judgments. Thank you for your consideration.
$10 USD in 30 days
2.2
2.2

Hi I am a native Hebrew speaker and a professional data annotator with extensive experience in linguistic evaluation and AI training. Your project for reviewing machine-translated technology content matches my daily expertise perfectly. In my ongoing work as an external contractor for global tech companies, I specialize in labeling, grading, and annotating texts according to strict client guidelines to improve LLM performance. Why I am a great fit for this role: Linguistic QA Experience: I routinely review machine outputs, checking for grammatical correctness, natural flow, and meaning alignment against English sources. Strict Guideline Adherence: I am highly experienced in following precise annotation rulebooks and delivering consistent Pass/Fail-style evaluations while hitting quality targets. Tech-Savvy & Fluent: With fluent English and a native grasp of Hebrew, I easily navigate technology-related terminology and spot where machine translation falls short. Best regards,
$28 USD in 40 days
0.0
0.0

Thane, India
Member since Jun 29, 2026
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