Innodata Inc

As a Red Teaming Specialist, you will craft prompts to test the robustness of AI systems and identify vulnerabilities. You will collaborate with a global team to enhance the security of generative AI technologies. | Candidates should have a bachelor's degree in a relevant field and at least 3 years of industry experience. Proficiency in Python and Java, along with excellent writing skills, is essential. | Job Title: Generative AI Associate – Cybersecurity Specialist Locations: US, Canada, or Israel – Remote work Language: English 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, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of 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 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? What you’ll be doing: As a Red Teaming Specialist or Blue 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/Blue 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 in Cybersecurity, Software Engineering, or Computer Science. · 3+ years of relevant industry experience · Python, Java · 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 · 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/Blue 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 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.

As a Red Teaming Specialist, you will craft prompts to test the robustness of large language models and identify vulnerabilities. You will collaborate with a global team to improve AI security and adapt to evolving project needs. | Candidates should have a bachelor's degree in a relevant field and at least 3 years of industry experience. Proficiency in Python and Java, along with excellent writing skills and creative thinking, are essential. | Job Title: Generative AI Associate – Cybersecurity Specialist 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 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, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of 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 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? What you’ll be doing: As a Red Teaming Specialist or Blue 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/Blue 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 in Cybersecurity, Software Engineering, or Computer Science. · 3+ years of relevant industry experience · Python, Java · 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 · 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/Blue 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 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.

You will lead and support a team of Gen AI Red or Blue Teaming Specialists, ensuring quality assurance and compliance. Your role includes overseeing internal audits, providing feedback, and synthesizing data to improve team performance. | An advanced degree in Cybersecurity, Software Engineering, or Computer Science is preferred, along with exceptional writing skills and attention to detail. Candidates should have at least 2 years of experience in a quality control environment and strong practical experience with Excel, Python, and Java. | 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.

Manage the full recruitment lifecycle from intake to offer for roles across departments. Build and maintain a strong pipeline of qualified candidates across multiple functions. | 1-3 years of talent acquisition or recruiting experience is required. Proficiency in Microsoft Excel and strong organizational skills are essential. | Who we are: Innodata (NASDAQ: INOD) is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a highsecurity infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, highquality platforms. Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, Philippines, India, Sri Lanka, Israel, and Germany. Interested in joining us? About the Role: We are seeking a results-driven Senior Talent Acquisition Specialist to join our growing team. In this role, you will be responsible for identifying, attracting, and hiring top talent across a variety of roles within Innodata. You will play a pivotal role in building pipelines, managing full-cycle recruiting, and leveraging data and reporting to inform hiring strategies. Strong Excel proficiency is essential to manage and analyze recruiting metrics and hiring reports. Key Responsibilities Manage the full recruitment lifecycle from intake to offer for roles across departments. Partner with hiring managers to understand staffing needs, role requirements, and ideal candidate profiles. Source passive and active candidates using LinkedIn, job boards, referrals, and other creative methods. Build and maintain a strong pipeline of qualified candidates across multiple functions. Schedule and coordinate interviews, manage candidate communications, and ensure a smooth candidate experience. Track and report recruitment metrics such as time-to-fill, pipeline health, and source effectiveness using advanced Excel functions (pivot tables, VLOOKUP/XLOOKUP, conditional formatting, formulas, etc.). Create custom Excel dashboards and visual reports to support data-driven hiring decisions. Maintain accurate and up-to-date data in the ATS and Excel trackers. Stay current on talent market trends and recommend innovative sourcing strategies. Required Skills and Experience: 1-3 years of talent acquisition or recruiting experience (in-house or agency). Proficiency in Microsoft Excel (must be comfortable with pivot tables, lookups, filters, and building reporting templates). Proven experience sourcing and hiring for corporate and technical roles. Strong organizational skills and attention to detail. Excellent interpersonal, written, and verbal communication skills. Ability to work in a fast-paced, high-growth environment. Experience with applicant tracking systems (ATS) is a plus. Nice to have: Experience recruiting in a tech, data, or digital services environment. Familiarity with recruitment analytics and dashboards. Bachelor’s degree in Human Resources, Business, or related field (Master’s a plus but not required). Minimum Education Requirements Bachelor's degree in Computer Science, Engineering, Data Science, Project Management, or a related field (or equivalent work experience). Salary Range: $95,000-105,000 Salary 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. #LI-NS1