• You will join Zup's AI team to help build products that use Generative AI to solve real problems for Itaú bank. • Lead the adoption of modern development practices, deeply integrating AI into your daily workflow to accelerate delivery and ensure the quality of the software produced.

Role Description Buscamos personas para grabar actividades cotidianas desde una perspectiva en primera persona utilizando una aplicación móvil. Puedes grabar tareas que ya realizas normalmente, como: - Cocinar - Limpiar - Doblar ropa - Ordenar espacios - Hacer jardinería - Pasear al perro Los videos ayudan a entrenar sistemas de IA y robótica para comprender cómo las personas interactúan con el mundo real. Qualifications - No se requiere experiencia previa. Requirements - iPhone 16/17, Google Pixel 6+ o Samsung Galaxy S21+ o superior - Acceso a internet - Nivel básico de inglés para registrarte y utilizar la plataforma Benefits - Horarios flexibles - Trabajo remoto por proyecto - USD $6 por hora de contenido aprobado - Bono adicional por la primera hora aprobada

• You will own, build, and run your startup in fields such as AI • You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management • You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs • You will receive intensive coaching to make your startup ready to raise millions in funding • You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Role Description We are looking for an experienced AI Safety & Red Teaming Specialist to help evaluate and strengthen the safety, security, and robustness of next-generation AI systems. In this role, you will leverage your expertise in adversarial AI, LLM security, and AI safety to identify vulnerabilities, design evaluation methodologies, and improve the resilience of large language models against real-world threats. This opportunity is ideal for professionals passionate about AI security, ethical hacking, and developing robust evaluation frameworks for advanced AI systems. - Design and implement advanced evaluation methodologies for AI system safety, including ethical jailbreak testing, prompt injection detection, LLM red teaming, and tool-use abuse scenarios. - Develop cross-domain adversarial testing strategies to uncover complex, multi-turn attack patterns and model vulnerabilities. - Build, maintain, and enhance regression test suites to continuously assess jailbreak susceptibility and prompt injection risks. - Create comprehensive evaluation frameworks that simulate real-world adversarial threats to improve AI robustness and reliability. - Collaborate with technical teams to translate security findings into actionable recommendations for AI safety improvements. - Document testing methodologies, findings, and best practices through clear technical reports and presentations for both technical and non-technical stakeholders. Qualifications - 2+ years of experience in AI Safety, Adversarial Machine Learning, LLM Red Teaming, AI Security, or a related field. - Hands-on experience researching, testing, or identifying vulnerabilities involving prompt injection, ethical jailbreaks, adversarial attacks, or tool-use exploitation. - Strong understanding of modern LLM architectures, prompt engineering, and AI safety evaluation methodologies. - Experience developing structured security assessments, regression testing frameworks, and adversarial evaluation strategies. - Excellent analytical, documentation, and communication skills with the ability to explain complex technical findings clearly. - Ability to collaborate effectively within cross-functional technical teams. Preferred Qualifications - Master's or PhD in Computer Science, Cybersecurity, Machine Learning, Artificial Intelligence, or a related discipline. - Contributions to AI security research, open-source AI safety tools, conference presentations, or published research. - Experience with AI model evaluation frameworks, prompt engineering techniques, and AI security assessment tools. - Background in multidisciplinary AI safety, cybersecurity, or adversarial machine learning projects. Must-Have Skills - AI Safety - LLM Red Teaming - Prompt Injection - Adversarial Machine Learning Good-to-Have Skills - Ethical Jailbreaking - AI Security - Prompt Engineering - AI Evaluation Frameworks