• The AI/Data Senior Consultant leads discrete workstreams and delivers advanced AI and data solutions. • Design and implement scalable AI and data solutions from requirements to deployment • Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages • Develop and optimize machine learning models and analytics workflows • Lead data engineering efforts including ETL pipelines and cloud data architectures • Partner with clients to identify AI use cases and translate business needs into solutions • Own client deliverables and contribute to executive‑level presentations • Mentor C2 consultants and review technical work • Ensure solutions align with governance, security, and responsible AI standards

Role Description Contractors are expected to work remote using their personal devices but must be able to accommodate EST working hours. As a contractor, you will play a critical role in supporting the project team and ensuring the successful execution of projects. This role will include serving as facilitators and mentors throughout the 12-week program from mid-September through mid-December. Responsibilities will include: - Participant Facilitation - Facilitate weekly small-group cohort sessions for your assigned track. - Support with facilitation guide development as necessary. - Review and provide structured feedback on participant assignments and deliverables. - Participant Support - Hold designated office hours to address participant questions and implementation challenges. - Provide timely feedback on workflow designs, testing outcomes, and implementation plans. - Support participants in troubleshooting and refining their AI-enabled workflows. - Program Collaboration - Attend weekly facilitator coordination meetings with the Verizon and program teams. - Collaborate with fellow SMEs and program staff to ensure consistency and quality across cohorts. - Participate in onboarding and facilitator preparation activities prior to program launch. - Contribute to the continuous improvement of curriculum and participant experience throughout delivery. - Program Evaluation & Closeout - Monitor participant progress and engagement within your cohort. - Share observations and recommendations on participant outcomes with the program team. - Support final participant presentations and the program showcase. - Complete required progress updates or reporting as requested. - Provide structured feedback on program effectiveness to inform future enhancements. Deliverables will include: - Weekly facilitation of assigned small-group sessions. - Office hours participation and 1:1 participant support. - Coaching, feedback, and guidance provided to assigned participants. - Attendance at facilitator meetings and program events. - Completion of required progress updates and reporting. - Participation in the final participant showcase and program closeout. Additional Commitments: - All SMEs are expected to attend the Verizon AI Signature Program Participant Celebration, a ceremony honoring program graduates and recognizing their accomplishments. This event will be held in January 2027. Qualifications - Specific expertise in integrating AI into financial workflows including tools such as QuickBooks and Zero Sheets. - A passion for teaching and a deep understanding of AI applications. Requirements - The contractor role is expected to begin on August 15th, 2026 and continue through January 31st, 2026. - Estimated commitment of approximately ~10 hours per week from September 14th through December 15th. - 8-10 additional hours for onboarding and offboarding in August and January. - This is a 1099 contractor position; therefore, contractors are responsible for providing appropriate documentation for payment processing. Benefits - Starting hourly rate of $150, commensurate with experience and consistent across all locations. - Next Street maintains an equitable and transparent compensation philosophy.

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

• Develop and execute the growth strategy for HubSpot's AI connector portfolio to drive awareness, adoption, and customer acquisition across AI platforms such as ChatGPT, Gemini, and future connector ecosystems. • Own activation and onboarding programs that help customers discovered through AI channels realize value quickly and successfully adopt HubSpot. • Partner with Product Marketing, Product, Engineering, and Partnerships teams to launch new connector capabilities and coordinate go-to-market initiatives. • Develop and scale AEO and content strategies that strengthen HubSpot's authority across AI ecosystems, increasing how frequently and accurately HubSpot is recommended within AI-generated experiences. • Identify, test, and scale distribution strategies across web content, affiliate programs, partner ecosystems, and marketplaces to increase HubSpot's visibility and acquisition through AI-driven discovery. • Design and execute experiments that improve discoverability, engagement, and conversion across AI-driven acquisition channels. • Establish scalable measurement frameworks for AI-native acquisition channels and define how success is measured across emerging distribution surfaces. • Monitor competitor activity, platform changes, AI ecosystem trends, and evolving connector experiences to identify new growth opportunities and help position HubSpot as a leader in AI-powered customer acquisition.