Title: Licensed Psychiatrist- New Mexico Location: Santa Fe, NM USA Department: SonderMind Provider Group Employment Type Contract Location Type Remote Job Description: Practice Psychiatry Without the Business Headaches Ready to focus purely on clinical care while we handle everything else? SonderMind is designed for psychiatrists who want the clinical freedom of private practice without the financial risk and administrative complexity. Why SonderMind Works for Psychiatrists: Unlike traditional private practice, you won't need to invest in overhead costs, staff, or business development. We provide guaranteed bi-weekly pay, handle all credentialing and billing, and deliver qualified patient referrals directly to you. Whether you're supplementing your current practice or seeking a more flexible model, our streamlined approach eliminates administrative burdens while offering competitive compensation. What We Provide: - Guaranteed Pay & Billing: Bi-weekly payment for completed sessions, including no-shows—we handle all billing at no charge to you - Free Credentialing: Streamlined credentialing with major insurers, including exclusive access to Medicare and Medicare Advantage plans - Patient Referrals: Qualified referrals delivered through our provider directory and marketing efforts - Clinical Support: Weekly office hours with Medical Director Dr. Harris Strokoff and peer consultation opportunities - Complete Flexibility: Office-based, telemedicine, or hybrid practice with your own schedule - Zero Overhead: No staff, office costs, or business development expenses Clinical Excellence: You maintain complete clinical autonomy while we manage patient acquisition, scheduling assistance, secure telehealth platforms, and operational support. This opportunity works well for psychiatrists seeking clinical freedom without practice management responsibilities. If you prefer focusing on patient care over business operations, this partnership offers the support you need with the autonomy you want. Applicants must be: - Licensed Psychiatrists residing in the state of New Mexico - Looking for a full-time or part-time contract position (1099) Pay: up to $232 per hour. Pay rates are based on the provider license type and session types. *Please note that SonderMind does not provide office space; clinicians are responsible for securing their own location for in-person sessions, but we can help connect you with Sondermind clinicians looking to share space.

Title: Generative AI Associate Location: Remote - Texas 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.

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.