The work
You will evaluate bilingual AI-generated content and create examples that help improve AI systems. Your reviews will focus on whether responses are accurate, logical, natural, culturally appropriate, and aligned with the instructions.
You will work across language quality, reasoning, fact-checking, and reliability. This includes reviewing different types of responses and writing clear examples of correct methods.
- Review Hebrew and English AI responses for accuracy, clarity, fluency, and instruction adherence.
- Evaluate step-by-step reasoning and identify methodological, conceptual, or explanatory gaps.
- Fact-check claims with reputable sources when required by task guidelines.
- Write detailed prompts, model solutions, and explanations that show correct methods.
- Rate and compare responses for correctness, reasoning quality, context, and language quality.
- Test for inaccuracies, bias, meaning drift, and other reliability issues across use cases.
What it pays and takes
- Pay: $50 per hour.
- Schedule: Part-time, with a requirement of 20 or more hours per week.
- Location: Fully remote and open to candidates in Israel.
- Languages: Fluent Hebrew with strong writing and editing skills across formal and informal registers; at least C1 English proficiency.
- Education: Bachelor's degree or higher in linguistics, translation, Hebrew language, communications, journalism, or a related field.
- Experience: At least three years in translation, localization, editorial quality assurance, content quality, or linguistic review.
- Skills: Strong attention to detail, consistent use of detailed evaluation rubrics, and the ability to identify reasoning gaps and methodological errors even when language is fluent.
- Helpful background: Experience with AI data training, annotation, or evaluation workflows, plus familiarity with Israeli cultural context and terminology in news, education, consumer, and technology topics.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind modern AI systems. People review model responses, write examples, and rate quality so systems can produce more accurate and useful results; specialized language and evaluation skills are valuable because they support careful, consistent feedback.