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Hebrew Trust & Safety Data Trainer

🇮🇱

SME Careers • Remote

Education

Not stated

Type

Hourly

Pay Rate

$50/hr

Listed

107d ago

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About this role

From the SME Careers listing

In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate safety-focused evaluation content, assess reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, safe, and clearly explained. You will annotate and evaluate content in English and Hebrew; you must be fluent/proficient (near-native or native) in Hebrew and able to apply Minimum C1 English to interpret prompts and policies precisely. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional or adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include, but are not limited to, those of a sexual, violent, or psychologically disturbing nature. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs, helping improve the world’s premier AI models.

Key Responsibilities

  • Curate and label safety-focused training examples (including adversarial/red-team cases) in English and Hebrew that probe model behavior across hate/harassment, sexual content, self-harm, violence, bias, illegal services, malicious activity, malicious code, and misinformation—capturing nuance and intent with Minimum C1 English and near-native French proficiency.
  • Review, score, and compare multiple model responses against safety policy and quality rubrics, documenting why an output is safe/unsafe and identifying failure modes such as evasion, normalization, escalation, or procedural enablement.
  • Continuously stress-test and audit model behavior for policy gaps and edge cases; flag ambiguous scenarios, propose clearer decision rules, and help maintain consistent annotation standards across reviewers.

Your Profile

  • Bachelor’s degree or higher in a relevant field (e.g., Communications, Linguistics, Psychology, Law/Policy, Security Studies) or equivalent professional experience.
  • Near-native or native Hebrew proficiency (reading/writing) for high-precision safety labeling and cultural-linguistic nuance.
  • Minimum C1 English proficiency (reading/writing) for policy interpretation, prompt understanding, and consistent documentation.
  • Experience in Trust & Safety, content moderation, policy enforcement, risk operations, investigations, or safety evaluation work.
  • LLM red teaming experience is a must (proven ability to probe safety boundaries and document adversarial patterns).
  • Strong knowledge of safety domains: Hate & Harassment, Sexual content, Suicide & Self-Harm, Violence, Bias, Illegal goods/services, malicious activities, malicious code, and deliberate misinformation.
  • Emotional resilience: an understanding that this role requires annotating texts that contain unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature.
  • Excellent judgment under ambiguity, with the ability to apply written policies consistently and explain decisions succinctly.
  • Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
  • Previous experience with AI data training / annotation / evaluation is preferred.
  • Strong hands-on experience using tools like Perplexity, Gemini, ChatGPT and others.

🌍 Geographic Availability This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.

💰 Pay Rate May Vary Based on Your Location Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.

If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.

Why this role

This Hebrew Trust & Safety Data Trainer role is the entry point to SME Careers' Languages track, where performance reviews feed into promotions instead of staying freelance forever. Weekly Deel payments and flexible scheduling apply from day one.

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Common questions

Is SME Careers work ongoing or project-based?

Project-based. Assignment duration and availability vary by project, but consistently high-quality work earns priority access to whatever comes next.

Does SME Careers offer a path for advancement?

Yes. SME Careers is unusual among AI training platforms for this: it publishes an explicit career ladder, Data Trainer, then Quality Analyst, then QA Lead, then Project Manager. Consistent, high-quality work is what moves you up it.

What does task-based AI training work look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does Languages work look like for a Hebrew Trust & Safety Data Trainer?

Tasks here are scoped to Languages, not generic labeling. As a Hebrew Trust & Safety Data Trainer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Languages) rather than following a one-size-fits-all rubric. If you don't have hands-on Languages background, this is likely not the right listing to start with.

What specific skills does this listing call for?

AI Training is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

This listing is posted at $50/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

What happens when I click Apply on this listing?

You'll be taken to SME Careers's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Who is behind SME Careers?

SME Careers is the expert talent division of SuperAnnotate, an AI data infrastructure platform, connecting domain experts with high-level AI training projects.