Innodata Inc

Compensation

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Job Title: Generative AI Associate – Cybersecurity Specialist Team Lead Locations: Fully Remote within the U.S. (excluding California, Washington, Alaska, Colorado, Montana, New York, Puerto Rico, Nevada, Nebraska) Employment Type: Full-Time (40 hours per week) Fixed Term (4-5 weeks with potential Extension) Language: English 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 Quality Assurance experts 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? Position Summary Are you passionate about ensuring data is accurate, comprehensive, and usable? If so, this is the position for you. In this position, you’ll be a leader on the team. You’ll train and support a team of Gen AI Red or Blue Teaming Specialists. As a steward of data excellence and quality audit compliance, you’ll handle quality assurance and provide performance feedback to the team. You’ll be responsible for every aspect of internal audit quality, from audit planning, implementation, and feedback to re-auditing as required. You will be an integral member of a global team, tasked with shaping a high-quality, user-centric AI knowledge model that will be the foundation for an entire next generation of technology user experience Tell Me More As part of our GenAI team, you will be joining a team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. This will include: Leading and inspiring a team of Gen AI Red or Blue Teaming Specialists to produce their best work Collaborating closely with colleagues and the Program Manager to drive success across all tasks and languages Reviewing project guidelines to ensure alignment between client expectations and team performance/outputs Leading the development of training programs that are comprehensive, relevant, and aligned with the latest industry standards and best practices; regularly review and update training content to ensure it remains current and effective Observing red teaming specialists and providing feedback 1:1 or to the team, as needed Overseeing the lifecycle of an internal audit, from planning, implementation, and feedback to re-auditing as required; driving all audits in the required timeframe and providing feedback to teammates, as needed Ensuring achievement of performance metrics; directing Root Cause Analyses documentation for any potential quality and audit deficiencies that resulted in missed KPIs; reporting on inefficiencies and error trends in process/systems/tools/policy Synthesizing data, discovering trends in accuracy, and translating quality assurance recommendations to the team Moving across projects to fill in and supplement audits as and when needed Determining what additional quality assurance processes and metrics are needed to support the team Creating process documentation, noting guideline changes, and cascading changes to the entire project team Shadowing red teaming specialists to ensure quality and compliance, as necessary. Please note: As a Red or Blue Teaming lead, 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 provides wellness resources and mental health support. 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 are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany. We’re poised for a period of explosive growth over the next few years. What we need you to bring: Advanced degree in Cybersecurity, Software Engineering, or Computer Science (Master’s or Ph.D.) preferred, but exceptional candidates with Bachelor’s degree or alternatively 4 years of experience including leadership experience Possesses exceptional writing and editing skills Incredible attention to detail 2+ years’ experience in a quality control environment Strong practical experience with Excel (PivotTable, Charts, Statistical functions) is essential Experience with Python Experience with Java Exceptional attention to detail and nuance 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 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.