Generative AI Associate

Generative AI Associate - Red Teaming Specialist 1 week ago – Be among the first 25 applicants. Job Title: Generative AI Associate - Red Teaming (English) Location: Fully Remote within the Canada (excluding Quebec) Employment Type: Full Time, 1 Month Contract Role (Full Time, 40 hours weekly, for 4 weeks.) 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 provide AI technology solutions to many of the world’s biggest technology companies and leaders in financial services, insurance, law, and medicine. Our global workforce includes over 5,000 employees across the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany and we are poised for 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 role is a once‑in‑a‑lifetime opportunity to work on the frontlines of AI safety and security, identifying vulnerabilities and improving the resilience of AI systems. You will creatively craft scenarios and prompts to test the limits of AI behavior, uncover weaknesses, and ensure robust safeguards. 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 Collaborate 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 the number of prompts written and average handling time per prompt Minimum Qualifications A Bachelor’s degree or Associate’s degree with a minimum of 1 year of relevant industry experience; advanced degrees (Master’s or PhD) are strongly preferred 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. As a Red Teaming Specialist, you’ll push the boundaries of large language models and may encounter toxic or NSFW material. Innodata is committed to the health of its workforce and provides wellness resources and mental health support. Hourly Range: $20 CAD per hour. Hourly rates vary depending on factors such as role, skill set, education, and location. Equal Opportunity: 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. Accessibility: 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. Job Scam Notice: 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 https://consumer.ftc.gov/articles/job‑scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov. #J-18808-Ljbffr