Generative AI Associate - Red Teaming Specialist

Innodata IncNashville, TN
1d$20 - $20Remote

About The Position

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?

Requirements

  • A Bachelor’s degree or Associates degree with minimum 1 year of relevant industry experience. Advanced degrees are strongly preferred (Master’s or PhD)
  • Professional or Expert level proficiency (C1/C2) 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

Responsibilities

  • 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
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