Role Description Cambridge Spark is seeking an independent, high-calibre AI Transformation Delivery Consultant (Project Basis) to deliver strategic advisory and technical scoping services for our executive-level clients. This is a project-based contract engagement to deliver projects as part of our executive education programmes. The successful consultant will act as an external specialist, bridging the gap between technical capability and business value by leading defined workstreams within our Leading with AI programme. The project is remote / UK-based (with project-specific onsite delivery in London, Cambridge and client sites as required). Key Deliverables & Scope of Work - Executive Advisory & Value Discovery: Deliver strategic consulting to client executives, identifying and documenting high-impact opportunities where AI can drive operational efficiency or new business models. - Solution Scoping & Business Case Definition: Translate complex business challenges into clear technical requirements. Produce robust business cases, ROI estimations, and defined project scopes to secure stakeholder buy-in. - AI Governance & Risk Frameworks: Provide independent expertise on AI governance, safety, and regulatory compliance, delivering actionable risk-mitigation frameworks for clients. - Proof of Concept Development: Build and deploy functional demo AI tools/applications to bring specific use-cases to life and demonstrate practical feasibility. - Workshop & Presentation Delivery: Design and facilitate high-impact, technical AI workshops and presentations for senior leadership teams. Qualifications - Essential Criteria: - Commercial AI Delivery: A proven track record of executing and delivering complex projects in AI, Data Science, or Machine Learning within commercial or industrial settings. - Executive Stakeholder Engagement: Extensive experience consulting with senior stakeholders, with a proven ability to translate deep technical concepts into value-driven business language. - Advanced Business Analysis: Expert capability in analysing complex business processes, identifying operational pain points, and quantifying the financial/strategic impact of AI interventions. - Technical Credibility: A strong academic foundation (MSc/PhD in Mathematics, Statistics, Computer Science, or a highly numerate subject) or equivalent deep industry experience. - Desirable Criteria: - Consulting Background: Prior experience operating within a management or technology consulting framework. - Sector Breadth: Experience delivering AI solutions across multiple industries (e.g., Finance, Healthcare, Retail, or the Public Sector). - Project Delivery Methodologies: Mastery of Agile or structured project management methodologies to ensure seamless delivery of outcomes. Requirements - This engagement is for a specific, project-based outcome and is open to independent contractors, freelancers, or boutique consultancies operating via a Limited Company or appropriate vehicle. - Autonomy: The consultant will have full control over how, when, and where they deliver the outcomes, subject to meeting client project milestones. - Substitution: The right of substitution applies, provided the substitute possesses equivalent skills and qualifications to meet the project deliverables. - Equipment: The consultant is expected to provide their own equipment and tools necessary to complete the assignment. - Commercial Conflicts: The services provider must not provide identical or similar AI transformation consulting services to direct competitors of Cambridge Spark for the duration of this project.

Title: Generative AI Associate Location: Remote - Utah 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: 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