Title: Generative AI Associate - Flexible Hours Location: Remote - Montana 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 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.

Title: Generative AI Associate - Flexible Hours Location: Remote - Wyoming 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 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.

• Own a revenue target for AgentControl, with full accountability for pipeline, forecasting, and closed-won bookings • Partner with Enterprise and Strategic AEs as the AgentControl overlay — building account plans and co-selling into existing and net-new relationships • Prospect within the install base and target accounts to create AgentControl opportunities, not just work what's handed to you • Run the full sales cycle: discovery, value narrative, stakeholder alignment, negotiation, and close • Build a business case for economic buyers around AgentControl's core value — safer, faster AI agent operations in production • Partner with Deal Desk on pricing and deal structure for large or complex deals • Work cross-functionally with Sales Engineering and Product Marketing on positioning, and pull in technical support at the right moments • Lead executive conversations and proof-of-value engagements that move strategic deals forward • Feed field intelligence — win/loss themes, objections, pricing feedback — back to Product and Marketing

Role Description EverHealth is seeking a hands-on builder, practitioner, and trainer who designs, builds, and deploys AI-enabled solutions that improve efficiency, reduce manual work, and expand the capabilities across the GTM teams. This role actively builds copilots, agentic solutions, agents, and automations, and partners directly with the business teams to deliver working solutions. - Assess AI tools and various vendors, implement and optimize automations and solutions ensuring optimal usage, recommend tools to be retired. - This role sits at the intersection of revenue operations, GTM systems, and applied AI. - Your focus is execution: designing, building, and deploying automation solutions that deliver measurable operational improvements. - Plays a critical enablement function in upskilling teams, establishing repeatable patterns, and driving adoption of AI tools while ensuring all solutions align with enterprise security, privacy, and Responsible AI standards. - The guiding philosophy for this role is Simple, Scalable, Secure, and Responsible. Responsibilities - Design, build, test, and deploy AI-enabled and automation-driven workflows for GTM processes. - Apply LLM capabilities and AI tooling to improve GTM and RevOps productivity and execution quality. - Create reusable assets such as agent templates, prompt libraries, automation patterns, and reference flows. - Implement end-to-end automations triggered by copilots/agents or business events (approvals, notifications, data updates). - Use automation and orchestration platforms (e.g., n8n, API integrations, MCP servers) to develop scalable solutions. - Own delivery from prototype through production-ready solution, including testing, documentation, and handoff. - Partner with GTM teams to translate business requirements into technical solutions. - Identify technical risks, constraints, and dependencies early in solution design. - Ensure solutions align with EverHealth privacy, security, and governance standards. - Design and deliver hands-on training for employees, makers, and business teams on AI-enabled workflows. - Maintain documentation for deployed workflows and integrations. - Monitor performance and reliability of automation solutions. - Ensure AI solutions include clear usage guidance, limitations, and human oversight expectations. - Coach teams on prompting best practices, output validation, and appropriate use of AI in daily work. - Serve as a go-to internal expert through workshops, office hours, and direct support. - Help establish guardrails that enable safe innovation without unnecessary friction. - Stay current on emerging AI models, automation tools, and workflow orchestration platforms. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field, or equivalent practical experience. - 2+ years delivering automation, low-code solutions, analytics, or AI-enabled capabilities in an enterprise or GTM environment. - Working knowledge of AI models, LLM applications, prompt orchestration, and AI-driven workflow design. - Hands-on experience building automation workflows or API integrations. - Ability to translate business requirements into practical technical solutions. - Experience working cross-functionally with engineering, data, and business teams. Requirements - Experience with automation and orchestration platforms (e.g., n8n, Zapier, custom API integrations, MCP servers). - Experience using Salesforce and Marketo or Hubspot. - Healthcare or health-tech industry background a plus. Benefits - Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid. - Robust health and wellness benefits, including an annual wellness stipend. - 401k with up to a 4% match and immediate vesting. - Flexible and generous (FTO) time-off. - Employee Stock Purchase Program. - Student Loan Repayment Program. Compensation The target base compensation for this position is $90,000 - $100,000 per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above. Company Description EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!