Hebrew Team Lead

AI Trainer Jobs; United States; Remote; USD 63,000 - 89,000; Part time

Job summary

AI Trainer Jobs seeks a Hebrew Quality Assurance Lead for a remote hourly contractor role. You will oversee quality across Hebrew training projects, review content, evaluate output against guidelines, and provide precise written feedback to trainers and QAs.

You must have native or near-native Hebrew, strong English, and experience with remote team coordination. The selection process includes an AI interview and a domain task. Open to candidates in Israel.

Qualifications

• Native or near-native Hebrew proficiency with strong reading and writing skills.
• Strong grasp of English to follow project guidelines and provide feedback in English.
• 3+ years of professional Hebrew writing, editing, translation, QA, or related language-review workflows.
• Ability to evaluate Hebrew content against detailed rubrics and identify issues such as mistranslation, unnatural tone, or RTL formatting.

Responsibilities

• Quality monitoring: spot-check Hebrew items and escalate issues.
• Trainer/QA communication: update trainers about guidelines and rubric changes.
• Question handling: respond clearly on Hebrew wording and localization nuances.
• Activation management: reach out to inactive contributors and flag availability issues.
• Documentation: create and maintain Hebrew project documentation and style guides.
• Onboarding/training: run onboarding calls and explain project expectations.
• Quality alignment: ensure consistent application of Hebrew guidelines across teams.

Skills

Hebrew Quality Assurance

English proficiency

Remote team coordination

Quality feedback

Attention to detail

Education

Bachelor’s or Master’s degree in Hebrew/linguistics/QA

Tools

Discord

Google Sheets

Google Docs

Trackers

Dashboards

Project management tools

Job description

Pay: up to $55/hour

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.

Responsibilities

• 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.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
• 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.

Skills: Hebrew Quality Assurance, English, Translation Quality Review, LLM evaluation, AI Training, Documentation, Trainer Feedback, Localization QA, Style Guides, Hebrew

Open to candidates in: Israel

Interview language: English