AI Expert jobs in Israel

Description Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, Alice offers coverage across the entire AI lifecycle. We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier GenAI experts—high-stakes, project-based work for the "best of the best" specialists in the industry. Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required. The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier. The invitation is open: Come join us at the tea party. About the Position We are seeking versatile GenAI Specialists to join our expert collective. This role encompasses two complementary focus areas—and we're looking for individuals who excel in one or both: Focus Area 1: Adversarial Analysis Design and execute adversarial prompts to identify weaknesses in cutting-edge AI systems, including LLMs, Text-to-Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize vulnerabilities, and translate findings into actionable safety insights. Focus Area 2: Creative Prompt Design Craft diverse, context-rich prompts that challenge AI models across policy domains. Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases - from benign edge cases to sophisticated deception attempts. Key Responsibilities Adversarial Analysis: • Design adversarial prompts to test AI systems across multiple modalities • Identify, categorize, and document model weaknesses or unsafe outputs • Support data annotation, curation, and quality control processes • Summarize findings into structured reports or data templates Creative Prompt Design: • Produce high-quality, diverse prompt sets reflecting global linguistic and cultural nuances • Research online behaviors of threat actors to inform realistic prompt design • Cover multiple policy areas, such as Hate Speech, Sexual/Graphic Harm, or Terrorism • Adapt prompts for multiple languages and dialects where applicable Requirements • Proven experience with Generative AI models (direct technical experience not required) • Understanding of risk taxonomies (e.g., harm categories, policy tiers) • Strong attention to detail and organizational capabilities • Ability to manage multiple tasks simultaneously and meet deadlines • Ability to balance creativity with policy sensitivity Language Requirements For Creative Prompt Design focus: We are actively seeking native speakers in the following languages: • English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic • Native-level fluency is essential for crafting culturally authentic, nuanced prompts that reflect real-world linguistic patterns and regional contexts. Preferred Qualifications • Strong creative writing background (journalism, fiction, or linguistics) • Familiarity with various model types (Text-to-Text, Text-to-Image, Text-to-Video) • Experience with prompt injection techniques, jailbreaks, and red-teaming methodologies • Prior work in model evaluation, prompt engineering, or safety analysis • Regional expertise or cultural fluency in specific geopolitical areas • Proficiency in one or more non-English languages All applicants will be required to complete a screening exam and background check. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, Alice offers coverage across the entire AI lifecycle. We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier GenAI experts—high-stakes, project-based work for the "best of the best" specialists in the industry. Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required. The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier. The invitation is open: Come join us at the tea party. About the Position We are seeking versatile GenAI Specialists to join our expert collective. This role encompasses two complementary focus areas—and we're looking for individuals who excel in one or both: Focus Area 1: Adversarial Analysis Design and execute adversarial prompts to identify weaknesses in cutting-edge AI systems, including LLMs, Text-to-Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize vulnerabilities, and translate findings into actionable safety insights. Focus Area 2: Creative Prompt Design Craft diverse, context-rich prompts that challenge AI models across policy domains. Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases - from benign edge cases to sophisticated deception attempts. Key Responsibilities Adversarial Analysis: • Design adversarial prompts to test AI systems across multiple modalities • Identify, categorize, and document model weaknesses or unsafe outputs • Support data annotation, curation, and quality control processes • Summarize findings into structured reports or data templates Creative Prompt Design: • Produce high-quality, diverse prompt sets reflecting global linguistic and cultural nuances • Research online behaviors of threat actors to inform realistic prompt design • Cover multiple policy areas, such as Hate Speech, Sexual/Graphic Harm, or Terrorism • Adapt prompts for multiple languages and dialects where applicable Requirements • Proven experience with Generative AI models (direct technical experience not required) • Understanding of risk taxonomies (e.g., harm categories, policy tiers) • Strong attention to detail and organizational capabilities • Ability to manage multiple tasks simultaneously and meet deadlines • Ability to balance creativity with policy sensitivity Language Requirements For Creative Prompt Design focus: We are actively seeking native speakers in the following languages: • English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic • Native-level fluency is essential for crafting culturally authentic, nuanced prompts that reflect real-world linguistic patterns and regional contexts. Preferred Qualifications • Strong creative writing background (journalism, fiction, or linguistics) • Familiarity with various model types (Text-to-Text, Text-to-Image, Text-to-Video) • Experience with prompt injection techniques, jailbreaks, and red-teaming methodologies • Prior work in model evaluation, prompt engineering, or safety analysis • Regional expertise or cultural fluency in specific geopolitical areas • Proficiency in one or more non-English languages All applicants will be required to complete a screening exam and background check. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description About Native Native is defining a new category in Cloud Security by empowering organizations to build truly secure-by-design environments. We provide a unified abstraction layer across AWS, Azure, and GCP, allowing security teams to seamlessly define and actively enforce policies without needing to master complex, cloud-specific configurations. Founded by industry veterans from AWS and Dome9, backed by $42M in funding, and trusted by Fortune 100 enterprises, we are looking for exceptional talent to take extreme ownership and help us scale the future of multi-cloud security. The Role As an AI Expert at Native, you’ll take full ownership of AI-powered product capabilities - from concept to production. You’ll work closely with Product, Engineering, and Security domain experts to build practical, reliable AI systems that improve how teams operate and secure cloud environments. This is an applied role: we care about shipping, adoption, and measurable outcomes. You’ll engage with users, test MVPs in production, iterate quickly based on feedback, and make sure what you build holds up in the real world. And yes you’ll also jump in as a Support Hero when needed, helping customers succeed and learning directly from how they work. Key Responsibilities • Build and ship AI features that improve cloud security operations (e.g., control recommendations, drift detection explanations, guided remediation, policy generation, investigations, workflow automation). • Design and implement AI agents tuned for cloud-security tasks, including the surrounding framework (tools, permissions, orchestration, guardrails, and automation). • Apply deep understanding of cloud security domains (IAM, network controls, logging/telemetry, posture management, governance, misconfiguration, threat scenarios) to guide product decisions and ensure the AI behaves safely and correctly. • Integrate with multi-cloud APIs and security controls (AWS/Azure/GCP/OCI), building end-to-end flows from “user intent” → “actionable outcome. Create and maintain evaluation methods for model quality (accuracy, coverage, hallucination rates, latency, cost, and user satisfaction) and build tooling to continuously measure performance in production. • Build data and feedback loops to keep systems relevant over time (user corrections, outcome tracking, regression testing, prompt/model iteration). • Stay current with practical advancements in LLMs/agents and engineering patterns, and adopt what’s useful (not hype) into production Requirements What We’re Looking For • 5 years of experience in cloud security, cloud engineering, or building security products for cloud environments. • Deep knowledge of public cloud security fundamentals, such as: IAM (roles, policies, permissions boundaries, identity federation) Network security (security groups, NACLs, firewall constructs, private connectivity) Logging and monitoring (cloud audit logs, flows, detections, telemetry pipelines) Governance and posture (misconfigurations, guardrails, policy-as-code concepts) • Strong coding skills with the ability to develop end-to-end production features (not just notebooks/POCs). • Hands-on experience building with modern AI systems (LLMs, retrieval, structured outputs, agents/tool use, evals) and a mindset for reliability, security, and guardrails. • Practical engineering instincts: you know how to trade off quality/speed/cost and ship incrementally without breaking trust. • Excellent communication and team collaboration skills; comfortable working cross-functionally. • Fluency in English. You’ll be a great fit if • You think like a product engineer: focused on impact, users, and shipping. • You love getting things done and taking ownership end-to-end. • You’re excited about building AI systems that operate safely inside real cloud environments — with real consequences and real customers. Why Join Now? This isn’t just another AI job. It’s a chance to build practical AI that makes multi-cloud security actually work — for the teams living it every day. Let’s get to work.