You will lead quality review for Hebrew AI-generated content and trainer or QA submissions. Your feedback will help improve accuracy, fluency, spelling, tone, cultural fit, meaning preservation, formatting, and adherence to project rubrics.
- Review Hebrew content and submissions for quality, consistency, and compliance with project guidelines.
- Identify recurring problems in grammar, spelling, tone, register, localization, right-to-left formatting, and meaning preservation.
- Write clear feedback and escalate critical or repeated quality concerns.
- Maintain style guides, FAQs, trackers, examples, honeypots, and onboarding materials.
- Communicate workflow updates and expectations to trainers and QAs.
- Support onboarding and training calls while helping contributors follow changing workflow standards.
What it pays and takes
This is an intermediate, part-time contractor role for someone who can combine detailed Hebrew language review with clear written feedback and contributor coordination.
- Pay: $55 per hour.
- Time: 20+ hours per week.
- Location: Open to candidates in Israel.
- Languages: Fluent Hebrew with strong reading and writing ability, plus strong English communication.
- Evaluate Hebrew content against detailed rubrics and identify mistranslation, literal phrasing, and unnatural tone.
- Understand Hebrew grammar, punctuation, tone, cultural context, gendered language, and right-to-left script handling.
- Experience in Hebrew writing, editing, translation, localization, content QA, AI training, annotation, or similar language-review work.
- Comfort using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Helpful background includes leadership with trainers, annotators, reviewers, editors, or QAs; experience evaluating large language model prompts or responses; and familiarity with localization terminology for Israeli users.
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 systems that generate and understand language. Reviewers assess examples, explain what needs improvement, and help models produce more accurate and useful results; people with strong language or subject expertise are especially valuable for this work. OpenTrain helps people find AI training and data-labeling roles, build a profile, and apply in minutes.