Title: AI Annotator Location: Remote - Kentucky Job Description: Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: - Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. - Labeling elements of a piece of content rather than the content as a whole. - Assigning predefined categories or labels to items. - Evaluating the perceived quality and/or appropriateness of content - Generating labels to advance understanding of a concept, trend etc. - Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. - Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. - Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. - Ordering or ranking items based on a set of preferences or criteria. - Creating prompts or questions that will be used to generate responses from a language model or other AI system. - Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). - Generating responses to prompts or questions using a language model or other AI system. - Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. - Producing concise summaries of longer pieces of text or data. - Converting spoken language or audio content into written text. - Converting text or spoken language from one language to another. - Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. - You’ll Thrive in This Role If You Have: - A High School Diploma or higher is required. - Professional or Expert level proficiency (C1/C2) in English - The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications.

Role Description The Risk Automation ML team automates Risk and Compliance investigations and decision making at Block through the application of agentic and generative AI technology. We work globally with partners in Product, Engineering and Operations to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We are leveraging agentic and generative AI as an integral part of our toolkit to fulfill our mission. Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity and brand violations) for trained Operations analyst review and decisioning. We are leveraging generative AI to accelerate historically manually intensive analyst workflows; by adding features in the investigative UX to accelerate agent productivity and enable them to make faster, more informed and accurate decisions (aka Copilots). We also automate workflows end to end completely eliminating the need for manual reviews (aka Autopilots). This is a new and significant opportunity to rethink and optimize Risk Operations at Block at scale. This is an IC role, but the senior level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders. (Work from anywhere: This role can be performed from any location in the United States and Canada) Qualifications - 8+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred. - A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field. - 3+ years experience with AI engineering, Large language models, and a background in traditional NLP techniques is a strong plus for this role. - End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale. - Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact. - Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value. Requirements - Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether. - Own the end to end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring. - Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build transformer based ML models to improve downstream detection tasks. - Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems and monitor and tune ongoing performance. - Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done. - Leverage agentic tools (Claude Code/Codex/Openclaw) to supercharge your research, development, devOps and documentation work as part of your day to day. Benefits - Remote work - Medical insurance - Flexible time off - Retirement savings plans - Modern family planning

Role Description The Principal AI Engineer plays a pivotal role in driving innovation and developing advanced artificial intelligence solutions for defense applications. This position involves leading the design, implementation, and optimization of AI systems for autonomous platforms, mission planning, and predictive analytics. The role requires collaboration with multidisciplinary teams to integrate AI solutions with cutting-edge hardware and ensure compliance with safety, ethical, and regulatory standards. As a technical leader, this role mentors team members, manages complex datasets, and stays ahead of emerging AI technologies to maintain a competitive edge. With a focus on security and performance, this role is essential for advancing defense technologies and supporting critical mission objectives. Responsibilities and Tasks - Lead the design and development of advanced AI algorithms for defense applications, including autonomous systems, decision-making, and predictive analytics. - Oversee the integration of AI solutions with hardware platforms, such as drones, aircraft, or missile systems, ensuring seamless operation. - Manage large datasets, including collection, preprocessing, and analysis, to train and validate AI models. - Optimize AI models for performance, reliability, and scalability in real-world defense scenarios. - Conduct rigorous testing, including hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations, to validate AI systems under various operational conditions. - Work closely with multidisciplinary teams, including software engineers, systems engineers, and domain experts, to align AI solutions with mission objectives. - Ensure AI systems meet stringent safety, ethical, and regulatory standards specific to defense applications. - Stay updated on the latest advancements in AI and Machine Learning to drive innovation and maintain a competitive edge. - Provide technical leadership and mentorship to junior engineers and team members. - Prepare detailed documentation and reports for stakeholders, including government agencies and contractors. Qualifications - Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or related field (PhD preferred). - 6+ years of professional experience in algorithm development, machine learning, or AI engineering. - Proficiency in machine learning, deep learning, reinforcement learning, and natural language processing techniques. - Advanced programming skills in languages such as Python, C++, Java, or R, along with experience in AI frameworks (TensorFlow, PyTorch, etc.). - Strong foundation in linear algebra, statistics, probability, optimizations, and algorithms. - Expertise in managing and processing large datasets, including structured and unstructured data. - Experience in optimizing AI systems for performance, scalability, and reliability in defense environments. - Proficient in designing rigorous validation and testing methodologies for AI systems. - Understanding of defense-related applications, including autonomous systems, situational awareness, and mission planning. - Familiarity with cybersecurity principles and practices to safeguard AI systems. Skills and Abilities - Skills in developing, training, testing, and deploying AI models in real-world scenarios. - Ability to integrate AI systems with hardware platforms and ensure seamless functionality. - Strong ability to analyze complex problems and develop innovative AI-driven solutions. - Ability to lead teams, mentor junior engineers, and provide technical direction. - Excellent collaboration skills to work with multidisciplinary teams including engineers and domain experts. - Strong written and verbal communication skills for presenting findings, preparing documentation, and liaising with stakeholders. - Willingness to stay updated with emerging AI technologies and trends. - Ability to propose novel solutions and push the boundaries of existing technology. Travel/Physical Requirements - Willingness to travel CONUS. - This role is fully remote for candidates within the United States. Benefits - Most locations offer a 9/80 schedule, providing every other Friday off. - Competitive compensation & 401(k) program to plan for your future. - Robust medical, dental, vision, & disability coverage with qualified wellness discounts. - Basic Life Insurance and Additional Life & AD&D Insurances are available. - Flexible Vacation & PTO. - Paid Parental Leave. - Generous Employee Referral Program. - Voluntary Benefits Available: Longer Term Care, Legal, Identity Theft, Pet Insurance, and more. - Voluntary Tricare Supplement available for military retirees.

Role Description The Senior Algorithm/AI Engineer is responsible for designing, developing, and optimizing advanced algorithms and AI models to solve complex business challenges. This role drives technical innovation, provides expert guidance to project teams, and ensures alignment with business objectives and ethical standards. - Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications. - Stay abreast of AI/ML advancements; evaluate and integrate emerging techniques to maintain competitive advantage. - Mentor junior engineers; provide technical guidance and best practices across teams; participate in code reviews and knowledge sharing. - Collaborate with cross-functional teams (data engineering, product, business stakeholders) to translate requirements into scalable AI solutions. - Oversee data preparation, feature engineering, and data quality processes to support robust model performance. - Establish and execute rigorous testing, validation, and monitoring protocols to ensure model accuracy, fairness, and compliance. - Maintain clear, comprehensive technical documentation and ensure adherence to regulatory and ethical standards (e.g., explainability, bias mitigation). - Identify opportunities to streamline workflows, automate processes, and enhance system performance. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred). - 4+ years of professional experience in algorithm development, machine learning, or AI engineering. - Proven track record of delivering successful AI/ML solutions in a production environment. - Experience in the technology, information, or media sectors is highly desirable. Requirements - Critical thinking and analytical mindset. - Effective communication of complex technical concepts to non-technical audiences. - Project management and organizational skills. - Collaboration and influencing skills across diverse teams. - Advanced programming (Python, R, Java, or C++), with proficiency in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Experience with data pipelines, cloud platforms (AWS, Azure, GCP), and MLOps practices. - Strong background in statistics, mathematics, and algorithmic problem-solving. Benefits - Most locations offer a 9/80 schedule, providing every other Friday off. - Competitive compensation & 401(k) program to plan for your future. - Robust medical, dental, vision, & disability coverage with qualified wellness discounts. - Basic Life Insurance and Additional Life & AD&D Insurances are available. - Flexible Vacation & PTO. - Paid Parental Leave. - Generous Employee Referral Program. - Voluntary Benefits Available: Longer Term Care, Legal, Identity Theft, Pet Insurance, and more. - Voluntary Tricare Supplement available for military retirees.