• Advise our clients at the intersection of technology and business • Bring stakeholders together through workshops and refine requirements • Design future-proof architectures within consulting engagements • Assume functional and technical project leadership

Title: Generative AI Specialist Location: Remote - United States 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 a smart, savvy, and curious Generative AI Specialist 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 Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) - Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. 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.

Role Description - Design and develop enterprise-grade Generative AI and Agentic AI solutions. - Build AI-powered assistants, copilots, and intelligent workflow automation platforms. - Implement and optimize: - Large Language Models (LLMs) - Retrieval Augmented Generation (RAG) - Multi-Agent Systems - Semantic Search architectures - Develop AI orchestration frameworks for autonomous and collaborative AI agents. - Build scalable AI pipelines and microservices using Python and modern AI frameworks. - Design vector search and enterprise knowledge retrieval solutions. - Fine-tune prompts, optimize inference performance, and improve AI response quality. - Develop secure API integrations and event-driven AI architectures. - Collaborate with product, architecture, security, and engineering teams. - Ensure responsible AI governance, security, compliance, and observability standards. - Support deployment, monitoring, and continuous improvement of AI systems in production. Company Description At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. - At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. - Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. - Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. - We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. - We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace.

AI Tech Lead Employee Type: Contract Remote: Yes Location: Columbia, MD, US Job Type: Applications and Data Management Pay Range: $70 - $97 per hour Role Overview This position is for a hands-on technical leader responsible for translating AI architecture into detailed design and successful delivery. The AI Tech Lead will lead the implementation of AI-driven experiences for the website, including conversational AI and intelligent widgets, using Drupal and Google Cloud Platform (GCP). This role owns the execution, driving technical design, delivery quality, deployment readiness, and cross-functional alignment with product and business stakeholders. Key Responsibilities - Own the hands-on delivery of AI solutions by translating architectural direction into detailed technical design and implementation plans. - Design and implement AI-driven experiences for the marketing website, including conversational interfaces, chatbots, and personalized user journeys. - Lead the integration of AI capabilities into CMS-driven applications, with a focus on Drupal-based web experiences. - Build and deploy cloud-based AI services on GCP, and evaluate equivalent patterns for candidates transitioning from AWS where appropriate. - Partner with architects, product owners, and business stakeholders to clarify requirements and ensure business goals are met. - Drive end-to-end execution, including technical breakdowns, effort estimation, sprint planning, risk management, and production support. - Establish engineering best practices for scalability, performance, security, and responsible AI in customer-facing digital experiences. - Mentor engineers and provide technical leadership through design and code reviews to improve quality and team velocity. - Define and monitor success metrics such as engagement, conversion, and user experience quality. - Support an accelerated delivery timeline by maintaining strong ownership and clear communication across technical and business teams. Required Qualifications - Proven experience leading the implementation of AI solutions in web, digital, or marketing technology environments. - Experience embedding AI capabilities into CMS-driven applications, ideally Drupal or comparable enterprise content platforms. - Hands-on expertise with Google Cloud Platform (GCP) for AI solution development; AWS experience is acceptable if the candidate can transition quickly to GCP. - Experience designing and delivering conversational AI, chatbots, intelligent widgets, or other AI-driven user experiences. - Experience with at least one real-world GenAI / Agent-based AI project deployed to production. - Understanding of AI agents, with hands-on experience using at least one agent framework (e.g., LangGraph, ADK). - Strong software engineering and integration skills, including APIs, cloud services, system design, and deployment practices. - Excellent communication and stakeholder management skills. - Demonstrated ability to lead delivery in fast-paced environments and manage ambiguity under compressed timelines. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.apexsystems.com/privacy-policy Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems. Employee Type: Contract Remote: Yes Location: Columbia, MD, US Job Type: Applications and Data Management Pay Range: $70 - $97 per hour