Generative Artificial Intelligence Associate - Flexible Hours Location: Remote - Oklahoma Employment Type: Part-time (Project-specific) Work Arrangement: 100% Remote Salary: $15.00 per hour 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. 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.

• Help design Better Health’s AI-native operating model. • Identify where AI can create meaningful business leverage. • Redesign workflows around AI solutions. • Partner with various teams to build integrated systems, workflows, and governance. • Develop Better Health’s AI roadmap by identifying and implementing opportunities for measurable business value. • Design how humans and AI work together, determining roles and responsibilities. • Understand how work flows across Better Health and optimize it for scale. • Build the visibility and operating framework for investing in high-impact opportunities. • Create reusable AI capabilities that serve multiple teams.

• Create original graduate-level academic problems in your specific area of expertise. • Write rigorous, step-by-step solutions that lead to a single verifiable answer. • Review AI-generated scientific responses to identify logical and factual errors. • Apply careful technical writing skills to ensure absolute clarity and precision.

Role Description Prologis is scaling responsible AI across every business line. As a Technical Lead for the Functional Salesforce Architecture & CRM team, you will help turn high-value business opportunities into adopted solutions. Your work will connect AI, CRM, data, and integration capabilities to practical outcomes for the business. This is a cross-cutting role between business strategy and AI technology delivery. You will partner with business leaders and technology teams to move ideas from discovery to pilot and production. Success depends on adoption, workflow impact, user trust, data quality, reliable integrations, and scalable execution across Prologis. Key Responsibilities Include: - Lead cross-business initiatives: - Guide AI-enabled CRM and workflow work from discovery through rollout. - Keep teams focused on business value and measurable outcomes. - Frame AI opportunities: - Identify where AI can improve business workflows. - Bifurcate high-value use cases from ideas better solved through process changes. - Translate needs into delivery plans: - Turn business needs into clear requirements, user stories, workflow designs, and rollout plans. - Make complex work easier to execute. - Shape AI design patterns: - Help define practical approaches for CRM workflow agents, Customer Intelligence and Insights, CRM search and retrieval, tool calling, and prompt patterns. - Support responsible AI: - Ensure CRM related AI solutions use the right level of evaluation, guardrails, human review, governance, and feedback loops. - Guide CRM and platform design: - Connect Salesforce and CRM decisions to the surrounding data, reporting, AI, and integration landscape. - Align design choices to scalable delivery. - Coordinate delivery: - Keep business and technology stakeholders aligned on scope, risks, dependencies, data readiness, and change needs. - Remove blockers early. - Build repeatable practices: - Codify lessons into playbooks, templates, enablement materials, and reusable solution patterns. Qualifications - 7+ years in technical leadership or enterprise technology delivery, with relevant experience in Salesforce, CRM, AI, data, or digital transformation. - Experience owning initiatives that connect business priorities to process design, systems, integrations, delivery, and adoption. - Strong understanding of generative AI and agentic workflows. - Experience with complex Salesforce or CRM multi-module instances and adjacent data, reporting, API, automation, or AI capabilities. - Ability to facilitate discovery, document decisions, and bring structure to complex or evolving business needs. - Able to engage business leaders and technical teams with clarity. - Comfort balancing innovation with quality, risk, user trust, and long-term scalability. - Experience piloting and scaling AI capabilities such as workflow assistants, AI-driven intelligence, automation, or decision support. - Hands-on exposure to Snowflake, Customer Data Platform design and implementation, data governance, data quality, or integration design. - Experience creating standards, playbooks, templates, communities of practice, or enablement materials. - Interest and experience in turning ideas into demonstrable prototypes within a measure of days, then evaluating and iterating. Requirements - Background in logistics real estate or adjacent B2B operations (preferred). - Experience working with extended teams for scaling development, both onshore and offshore (preferred). Benefits - Healthcare, dental, and vision insurance for employees and eligible dependents. - Wellness, financial, and work/lifestyle-specific benefits. - 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation. - Generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.