Hebrew AI Data Trainer - RemoteYO IT Consulting • Chicago, Illinois, United States
Hebrew AI Data Trainer - Remote
YO IT Consulting
- Chicago, Illinois, United States
- Chicago, Illinois, United States
À propos
This is a fully remote, hourly‑paid contractor role focused on improving the quality, reasoning ability, and linguistic accuracy of AI systems. You will evaluate AI‑generated responses in Hebrew and English, assess step‑by‑step reasoning, and provide structured expert feedback to improve clarity, correctness, and alignment with user intent.
Your work directly supports leading AI research organizations by helping refine model performance across multilingual and reasoning‑intensive tasks.
Key Responsibilities
Review and evaluate AI‑generated responses in Hebrew and English for accuracy, clarity, and logical reasoning
Assess step‑by‑step problem‑solving quality and identify conceptual or methodological errors
Rate and compare multiple AI outputs based on correctness, fluency, and adherence to prompts
Write high‑quality model answers that demonstrate correct reasoning and clear explanation
Develop bilingual AI training content (Hebrew/English) across diverse subject areas
Identify inconsistencies, hallucinations, or weak reasoning in model outputs
Apply structured evaluation rubrics consistently in high‑volume annotation workflows
Fact‑check information using reliable sources when required
Ensure model outputs reflect proper linguistic, cultural, and contextual accuracy
Required Qualifications
Bachelor’s degree (or higher) in Linguistics, Translation, Hebrew Language, Communications, Journalism, or a related field
Native or near‑native Hebrew proficiency, including formal and informal registers
Minimum C1 English proficiency (reading and writing)
At least 3+ years of experience in translation, localisation, editorial QA, linguistic review, or content quality roles
Strong ability to detect reasoning errors, unclear explanations, and logical inconsistencies
Excellent attention to detail and ability to follow structured evaluation guidelines
Strong fact‑checking skills using reliable sources when needed Key Competencies
Analytical thinking and structured reasoning evaluation
High‑level bilingual writing and editing (Hebrew/English)
Consistency in applying evaluation rubrics
Strong editorial judgment and clarity in feedback
Ability to work efficiently in high‑volume task environments
Preferred Qualifications
Experience in AI training data, LLM evaluation, or prompt engineering
Background in journalism, editorial QA, or linguistic research
Familiarity with AI tools such as ChatGPT or similar systems
Experience working with structured annotation or QA platforms
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Compétences linguistiques
- English
Avis aux utilisateurs
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