Location: US – Remote work (excluding WA, NY, MT, CA & Puerto Rico)

Language: English

Duration: 2 weeks

What you’ll be doing:

As a Red Teaming Specialist on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. We’re seeking self-motivated, clever, and creative specialists who can handle the speed required to be on the frontlines of AI security. In return, we’ll be training you in cutting-edge methods of identifying and addressing vulnerabilities in generative AI. Below are some responsibilities and tasks of our Red Teaming Specialist role:
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 or associates and 1 year of relevant industry experience or high school degree and 2 years of
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 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 support.

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