Associate - red specialist

Innodata Inc
Philadelphia, PA

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.


Requirements:

  • Bachelor’s degree or above or associates and 1 year of relevant industry experience or high school degree and 2 years of relevant industry experience

  • Background in early childhood education and development

  • 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

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.

Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.

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.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at


If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov.

Posted 2025-11-06

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