We use PostHog and Clarity to improve the site, and Meta Pixel to measure page views and ad effectiveness. Usage data may include page addresses and browser identifiers. You can opt out of collection at any time. Details in the Privacy Policy
In this hourly, remote contractor role, you will work as a Hebrew Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Hebrew AI training projects. You will review AI-generated Hebrew content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.
You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Hebrew and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Hebrew quality leadership will directly help improve the world’s premier AI models by ensuring that Hebrew training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.
Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.
Important
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
What you'll do
Quality monitoring: Spot-check Hebrew items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
Question handling: Respond to trainer/QA questions clearly and promptly, especially around Hebrew wording, tone, register, gendered language, translation fidelity, cultural context, RTL formatting, and edge cases.
Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
Documentation: Create and maintain Hebrew project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Hebrew-specific style/script requirements.
Quality alignment: Ensure all trainers and QAs apply Hebrew language guidelines consistently and understand updates as projects evolve.
Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Hebrew-language projects.
Requirements
Bachelor’s or Master’s degree in Hebrew, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
Native or near-native Hebrew proficiency with strong reading and writing skills.
Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
3+ years of professional experience in Hebrew writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
Strong understanding of Hebrew grammar, spelling conventions, punctuation, tone, register, cultural context, and right-to-left script handling.
Ability to evaluate Hebrew content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, inconsistent terminology, or incorrect RTL formatting.
Comfortable handling formal vs informal Hebrew, gendered language, product/UI localization terminology, and audience adaptation for Israeli users.
Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.
Nice to have
Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly