Hebrew AI Data Trainer - Remote

Key Responsibilities

• Review and evaluate AI-generated responses in Hebrew and English for accuracy, clarity, and logical reasoning
• Audit 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

• Bachelors 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, localization, 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
• Ability to work independently in a remote, asynchronous contractor environment
• Prior experience in AI data annotation or evaluation workflows (preferred)
• Familiarity with Israeli cultural and linguistic context across domains (preferred)

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