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**Job Title**: Generative AI Associate - Cybersecurity Specialist **Locations**: US, Canada, or Israel - Remote work **Language**: English **Who we are**: Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. **About the role**: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious Red Teaming Specialists to join our team. This is the role that writers and hackers dream about: you’ll be challenging the next generation of LLMs to ensure their robustness and reliability. We’re testing generative AI to think critically and act safely, not just to generate content. This isn’t just a job: it’s a once-in-a-lifetime opportunity to work on the frontlines of AI safety and security. There’s nothing more cutting-edge than this. Joining us means becoming an integral member of a global team dedicated to identifying vulnerabilities and improving the resilience of AI systems. You’ll be creatively crafting scenarios and prompts to test the limits of AI behavior, uncovering potential weaknesses and ensuring robust safeguards. You’ll be shaping the future of secure AI-powered platforms, pushing the boundaries of what’s possible. Keen to learn more? **What you’ll be doing**: - Complete extensive training on AI/ML, LLMs, Red Teaming, and jailbreaking, as well as specific project guidelines and requirements - Craft clever and sneaky prompts to attempt to bypass the filters and guardrails on LLMs, targeting specific vulnerabilities defined by our clients - Collaborating closely with language specialists, team leads, and QA leads to produce the best possible work - Assist our data scientists to conduct automated model attacks - Adapt to the dynamic needs of different projects and clients, navigating shifting guidelines and requirements - Keep up with the evolving capabilities and vulnerabilities of LLMs and help your team’s methods evolve with them - Hit productivity targets, including for number of prompts written and average handling time per prompt’ **What we need you to bring**: - Bachelor’s degree or above in Cybersecurity, Software Engineering, or Computer Science. - 3+ years of relevant industry experience - Python, Java - Excellent writing skills (in English) - Strong understanding of grammar, syntax, and semantics - knowing what "proper” English rules are, as well as when to violate them to better test AI responses - Ability to adopt different voices and points of view - Creative thinking, Strong attentive to detail, Well-honed internet research skills, Ability to embrace diverse teams - Ability to navigates ambiguity with grace - Adaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and requirements **Please note**: As a Red/Blue Teaming Specialist, you’ll push the boundaries of large language models and seek to expose their vulnerabilities. In this work, you may be dealing with material that is toxic or NSFW. Innodata is committed to the health of its workforce and so provides wellness resources and mental health - Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status._ - Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position._
