Help improve language models by researching claims, answering analytical questions, summarizing content, and explaining your reasoning in Hebrew and English. This remote contract role requires 20 or more hours per week.
The work
As a Hebrew Language AI Training Analyst, you will help improve language models through written analysis, research, and detailed feedback. You will work with reasoning scenarios and explain answers clearly so models can learn from them.
- Read and summarize substantial written content into clear logical sections.
- Research information online and check claims made in written material.
- Answer questions about data interpretation, trends, logical reasoning, and basic arithmetic.
- Create reasoning scenarios, solve logic puzzles, and explain the correct answers.
- Give constructive feedback and detailed annotations on written content and model responses.
What it takes
This is a remote contractor and part-time role for someone who can work independently and communicate clearly in both Hebrew and English. Relevant experience can replace a degree.
- Professional fluency in Hebrew and English.
- At least 20 hours per week.
- Worldwide remote availability.
- Strong research, analytical, logical-reasoning, and communication skills.
- Ability to explain conclusions clearly and provide detailed written feedback.
- Creative and lateral thinking when approaching unfamiliar problems.
- A desktop or laptop with a reliable internet connection.
- Useful background in business analysis, research analysis, professional writing, journalism, technical writing, editing, or translation.
- A background in engineering, literature, journalism, communications, arts, statistics, or a related field is welcome.
- Familiarity with Excel, Google Suite, data interpretation, logical reasoning, and basic arithmetic is valuable.
How it works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training is the human work behind modern AI systems: people prepare examples, review model answers, check reasoning, and provide feedback. Language analysts help models produce clearer, more accurate, and more useful responses.