Red Teaming Specialist - English and Chinese
Overview
Job Title: Generative AI Associate - Red Teaming (English and Chinese)
Location: Fully Remote within Canada (excluding Quebec)
Employment Type: Full Time, (40 hours per week.)
About the RoleAt 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 is a front lines role in AI safety and security, focused on identifying vulnerabilities and improving the resilience of AI systems. You’ll craft scenarios and prompts to test AI behavior, uncover weaknesses, and help shape the future of secure AI-powered platforms.
Keen to learn more?
What You’ll Be DoingAs a Red Teaming Specialist on our AI Large Language Models (LLMs) team, you will join 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 front lines of AI security. In return, we’ll train 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 jail breaking, 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
- 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 and Simplified Chinese
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
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.
Salary Range: $70k-73k CAD
Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.
We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate.
In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), we are committed to providing accommodations throughout the recruitment and selection process. If you require an accommodation, please let us know, and we will work with you to meet your needs.
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 (Use the "Apply for this Job" box below)..
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at and consider reporting it to the FTC at Fraud.ftc.gov.
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