CBRN Specialist
# CBRN Specialist **Xperteez Technology** · `Remote` · `Contractor` 💼 **Уровень роли:** `Entry-level` 💰 **Компенсация:** `$100 – $100` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[CBRN-Specialist]` `[AI-Safety-Specialist]` `[Content-Reviewer]` `[Technical-Reviewer]` `[Risk-Assessment-Specialist]` --- ### About the Role Type: Contract Location: Remote Skills & technologies - CBRN - English - Chemical Safety - Biological Safety - Radiological Safety - Nuclear Safety - AI Safety - Risk Review - Hazard Communication - Emergency Preparedness Key responsibilities - Review CBRN-related AI content: Evaluate AI-generated responses involving chemical, biological, radiological, nuclear, hazardous-material, emergency-preparedness, and public-safety topics for accuracy, safety, and guideline alignment. - Identify unsafe or enabling content: Flag outputs that provide dangerous procedural detail, acquisition guidance, weaponization support, evasion tactics, unsafe lab guidance, harmful exposure advice, or other misuse-enabling content. - Develop safe reference content: Create gold-standard examples that answer benign CBRN questions responsibly while avoiding operationally dangerous instructions. - Optimize AI safety behavior: Evaluate and rank model outputs based on safe handling, correct risk framing, appropriate refusals, helpful redirection, scientific accuracy, and clarity. - Ensure model integrity: Detect hallucinated claims, incorrect hazard classifications, misleading risk statements, overconfident conclusions, poor escalation guidance, or unsafe recommendations. - Support policy-aligned review: Apply project rubrics consistently and provide clear written feedback explaining why content is safe, unsafe, incomplete, or technically incorrect. - Maintain technical quality: Ensure CBRN-related content uses precise terminology, avoids exaggeration or minimization of risks, and communicates safety information in a responsible, user-appropriate way. - Escalate sensitive cases: Flag ambiguous, high-risk, or potentially harmful content for additional review according to project guidelines. Requirements: - Bachelor’s degree or higher in Chemistry, Biology, Microbiology, Public Health, Toxicology, Nuclear Engineering, Radiation Science, Emergency Management, Environmental Health & Safety, Biosecurity, Security Studies, or a related field, or equivalent professional experience. - Strong professional proficiency in English, minimum C1, to follow guidelines and provide detailed written feedback in English. - 3+ years of professional experience in CBRN safety, emergency preparedness, hazardous materials, biosafety, radiation safety, public health, environmental health and safety, defense/security analysis, technical review, or related work. - Strong understanding of chemical, biological, radiological, and nuclear hazard categories, including safe high-level risk assessment, exposure pathways, protective concepts, emergency communication, and public-safety principles. - Ability to evaluate CBRN-related AI outputs for accuracy, safety, completeness, policy alignment, and potential misuse risk. - Comfortable identifying unsafe instructions, operationally enabling details, inappropriate specificity, misleading hazard claims, inaccurate emergency advice, or unsupported technical conclusions. - Familiarity with safety frameworks, emergency-response concepts, biosafety levels, hazardous-material communication, radiation protection principles, decontamination concepts, incident reporting, and public-health guidance is preferred. - High attention to detail when reviewing terminology, units, exposure concepts, risk levels, safety disclaimers, escalation guidance, and sensitive technical boundaries. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI safety, data annotation, technical QA, policy review, risk assessment, red-team review, scientific review, or rubric-based evaluation is strongly preferred. Originally posted on Himalayas
- CBRN-Specialist
- AI-Safety-Specialist
- Content-Reviewer
- Technical-Reviewer
- Risk-Assessment-Specialist
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).