Role Description Für ein internationales KI-Projekt werden deutschsprachige Mitarbeiter gesucht, die einen modernen KI-Sprachassistenten im Alltag testen. Dabei führst du verschiedene Sprachbefehle aus, bewertest die Antworten der KI und dokumentierst deine Erfahrungen. Die Tätigkeit erfolgt vollständig remote und eignet sich besonders für Personen, die regelmäßig mit digitalen Anwendungen arbeiten und einen Mac besitzen. - Einen KI-Sprachassistenten mit deiner Stimme bedienen - Nachrichten, E-Mails oder Notizen per Spracheingabe erstellen - Der KI verschiedene Aufgaben geben, beispielsweise Texte zusammenfassen, Bilder erstellen oder Tabellen bearbeiten - Die Antworten der KI hinsichtlich Qualität und Verständlichkeit bewerten - Gesprochene Anweisungen dokumentieren und überarbeiten - Ergebnisse in einer strukturierten Projektübersicht erfassen und benötigte Aufzeichnungen hochladen Qualifications - Deutsch auf muttersprachlichem oder nahezu muttersprachlichem Niveau - Gute Englischkenntnisse zum Verständnis der Projektanweisungen - Eigener Mac mit Apple Silicon (M1, M2 oder M3) und macOS Sequoia 15 oder neuer - Sicherer Umgang mit typischen Anwendungen wie E-Mail, Browser, Dokumenten und Tabellen - Sorgfältige und selbstständige Arbeitsweise Benefits - 100 % Homeoffice - Flexible Arbeitszeiten - Projektlaufzeit von etwa drei Wochen - Wöchentliche Auszahlung - Mitarbeit an der Entwicklung innovativer KI-Technologien - Möglichkeit zur Teilnahme an weiteren internationalen KI-Projekten

Role Description We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. Key Responsibilities - Define and implement security controls specifically targeting LLM and AI-powered application risks. - Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns. - Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints. - Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. - Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. - Design controls for sensitive data handling, retention, and redaction in LLM workflows. - Lead red-team exercises against AI systems and drive remediation of identified weaknesses. - Evaluate and harden third-party AI services and open-source AI components used internally. - Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services. - Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. - Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations. - Develop monitoring, logging, and detection strategies tailored to AI workloads. - Lead incident response for AI-specific security events and drive durable improvements. - Stay current with adversarial ML, LLM security research, and emerging regulatory developments. Qualifications - Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline. - Six or more years of security engineering experience, including significant work on AI or ML systems. - Strong understanding of LLM internals, modern AI architectures, and common failure modes. - Hands-on experience designing security controls for AI-powered applications. - Deep knowledge of application security, identity, and cryptography fundamentals. - Experience with threat modeling and security architecture review processes. - Familiarity with adversarial ML, prompt injection, and model abuse research. - Proficiency in Python and at least one systems language. - Strong understanding of cloud security and modern infrastructure controls. - Excellent written and verbal communication skills. Preferred Qualifications - Publications, talks, or CTF participation in AI security topics. - Experience with red-teaming LLM-based products. - Familiarity with privacy-preserving ML techniques such as differential privacy. - Exposure to regulated industries with strict data handling requirements. - Open-source contributions to AI security tooling. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Set data vision while contributing directly • Leads by example rather than delegation • Build scalable self-serve analytics • Engage with C-level and VP stakeholders

Role Description We are looking for a specialist to support the development and continuous improvement of our Data and AI learning portfolio, with a primary focus on MBA-level programs and additional support for bootcamps in Data Science, Data Analytics, and Artificial Intelligence. This role combines curriculum design, technical content creation, and learning experience development. The ideal candidate has strong hands-on experience in data, analytics, and applied AI, and can translate real-world technical practice into clear, engaging, and practical learning materials for adult learners. The person will work on lessons, video scripts, practical activities, projects, rubrics, tutor-facing materials, and content improvements across our portfolio. *Please submit your CV in English What you will do - Design curriculum structures for Data Science, Data Analytics, Machine Learning, and Artificial Intelligence programs, including modules, learning outcomes, and sequencing. - Develop technical learning content, including lessons, video scripts, exercises, assessments, and project-based assignments. - Translate complex technical concepts into clear, practical, and well-structured learning experiences for adult learners. - Design hands-on activities and projects using realistic datasets, business cases, templates, scaffolding, and clear definitions of success. - Create solution guides, rubrics, and evaluation criteria to support tutors. - Review and improve existing content to ensure technical accuracy, clarity, consistency, relevance, and alignment with current tools and best practices. - Investigate content issues, propose fixes, and update broken, outdated, unclear, or underperforming materials. - Research trends, tools, and real-world applications in data, analytics, machine learning, generative AI, automation, and applied AI. - Use learner feedback, tutor input, and platform data to identify recurring pain points and propose content improvements. - Collaborate with Sales, Teaching, Student Success, and other stakeholders to align academic quality, learner value, and business priorities. Qualifications - 5+ years of hands-on professional experience in Data Science, Data Analytics, Machine Learning, Artificial Intelligence, or related technical fields. - Strong practical knowledge of SQL, Python, statistics, data analysis, data visualization, and machine learning fundamentals. - Practical knowledge of applied AI topics, including generative AI, LLMs, AI-enabled workflows, automation, and business applications of AI. - Experience creating educational content, training materials, or structured learning experiences for adult learners. - Ability to explain complex technical concepts clearly and turn them into lessons, examples, exercises, assessments, and project-based assignments. - Comfortable recording lessons, screen walkthroughs, or instructional videos with clear communication and learner empathy. - Strong research and synthesis skills, especially in fast-evolving technical areas. - Fluent in Portuguese and strong oral and written communication skills in English. - Ability to work collaboratively with cross-functional teams and iterate based on feedback, learner needs, and product priorities. Requirements - Experience teaching, mentoring, tutoring, or reviewing technical projects. - Experience with postgraduate programs, bootcamps, or professional education. - Previous experience recording lessons, screen walkthroughs, or instructional videos. - Familiarity with written Spanish, especially for reviewing, adapting, or comparing learning materials. Benefits - Fully remote and part-time collaboration (20h/week). - Compensation: 1500 USD per month. - A diverse team across Europe, the US, Latin America, and more. - Modern digital tools for seamless collaboration.