Role Description The Remote Radiologist is responsible for interpreting diagnostic imaging studies from a remote setting using advanced teleradiology technology. This role supports nationwide imaging needs with timely and accurate reporting, contributing directly to high-quality patient care without the need for onsite presence. It enables flexibility while maintaining diagnostic excellence and clinical collaboration through virtual platforms. - Interpret a high volume of diagnostic studies remotely, including X-ray, CT, MRI, ultrasound, and other modalities. - Deliver prompt, accurate, and well-documented reports to referring clinicians across multiple locations. - Communicate critical and time-sensitive findings directly with providers via phone or secure messaging systems. - Collaborate with technologists and support staff virtually to ensure protocol adherence and image quality. - Use advanced PACS, RIS, and cloud-based teleradiology systems to manage and review cases. - Participate in quality assurance, peer review, and virtual team meetings. - Maintain up-to-date licensure and compliance documentation for multiple states, as required. - Adhere to all HIPAA and data security standards while working in a remote environment. - Contribute to a consistent workflow with no weekend or evening shifts required. - Support a culture of collaboration and excellence across geographically distributed teams. Qualifications - MD or DO degree from an accredited medical school. - Completion of an accredited Radiology Residency program. - Board Certified or Board Eligible in Diagnostic Radiology (ABR or equivalent). - Active and unrestricted medical licenses in applicable practice states (multi-state licensure preferred). - Prior teleradiology or remote work experience preferred, but not required. Requirements - Proficiency in remote diagnostic tools, PACS, RIS, and EMR systems. - Exceptional time management and organizational skills in a virtual work environment. - Strong written communication for clear and concise report generation. - Knowledge of HIPAA and teleradiology-specific data privacy protocols. - Comfortable with high-volume caseloads and maintaining quality standards. - Capable of working independently with minimal supervision. - Technical literacy to troubleshoot basic remote workstation issues. - Familiarity with ACR guidelines, structured reporting, and clinical decision support tools. Benefits - We believe in preventative care for everyone including our team – SimonMed provides free, whole-body scans to each member. - We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role Description Cambridge Spark is looking for a Data Science Trainer to deliver our gold-standard technical programmes. While your deep technical expertise will be primarily focused on our Level 6 AI Engineer pathway, this role offers the exciting opportunity to deliver training across our wider portfolio of multiple apprenticeship programmes and high-impact corporate training engagements. You’ll lead deep-dive, hands-on workshops that empower data professionals and software engineers to build, test, and deploy robust machine learning models and advanced analytics solutions. Working across funded apprenticeships and corporate training, you’ll ensure that programmes meet high standards for learner engagement, technical rigour, and applied workplace impact. Key Responsibilities - Deliver the Level 6 AI Engineer curriculum as your primary focus, while also leveraging your expertise to lead advanced technical modules across other apprenticeship pathways and execute bespoke corporate training engagements. - Deliver engaging, hands-on workshops enabling learners to build supervised and unsupervised learning models using libraries like Scikit-Learn, XGBoost, and statsmodels. - Facilitate technical deep dives covering neural networks, deep learning frameworks (TensorFlow/PyTorch), and classical Natural Language Processing techniques. - Instruct learners on writing production-ready code, version control (Git), unit testing, and applying MLOps principles using cloud platforms (AWS, Azure, or GCP). - Facilitate high-quality, interactive training sessions via virtual platforms (our primary model), while maintaining the pedagogical flexibility to travel to client sites or hubs for face-to-face workshops when requested. - Partner with Product Managers to provide technical feedback on curriculum resources, Jupyter Notebook labs, and self-directed learning paths, building complex datasets for modelling. - Implement quality processes as defined by the Quality Team and maintain technical expertise across fast-moving ML frameworks, MLOps tooling, and software engineering best practices. Qualifications - Exceptional hands-on experience building technical solutions in Python, including deep knowledge of the core data science ecosystem (Pandas, Scikit-Learn, etc.) and OOP principles. - Conceptual and mathematical understanding of predictive algorithms, model evaluation metrics, hyperparameter tuning, and bias/variance trade-offs. - Strong practical experience with Git, containerisation (Docker), CI/CD concepts, and deploying models as APIs or within cloud environments. - Familiarity with distributed computing and processing large datasets (e.g., PySpark, Databricks). - Exceptional communication skills with the ability to patiently explain complex mathematical and programmatic concepts to learners with varying baseline skills. Requirements - Demonstrable, hands-on experience working in a commercial industry setting applying these specific technical concepts. - Practical experience fine-tuning open-source LLMs (e.g., LLaMA, Mistral) or engineering with the Hugging Face ecosystem. - Certifications in AWS, Azure, or GCP data/ML specialities. - A formal teaching or training qualification (PGCE, QTS, or equivalent), or substantial enterprise facilitation experience. Benefits - Pension with 4% matched contributions, opportunity to opt into salary sacrifice scheme. - 25 days holiday + Flexi bank holidays + 1 day off on your birthday. - A day for volunteering. - Enhanced Maternity and Paternity Leave. - Health & Wellbeing allowance of up to £30 per month. - Annual Summer and Xmas events. - Company socials including everything from Cambridge College formals, pub nights to team building events. - CPD Allowance alongside quarterly reflections to ring fence time for development and growth. - Private medical insurance and cash plan. - Holiday buy back scheme (up to 10 days p/a). - Employee Assistance Programme with a dedicated company counsellor. Company Description We are an education technology company that enables corporate and government organisations to achieve their business goals by educating their workforce with critical digital transformation skills to succeed in the AI era. We deliver unique and innovative professional education that is accelerating the digital transformation of our clients, advancing the careers of their employees, helping people get into work and closing the digital skills gap. We are in a sector that is crucial to the economy and workforce, with a lot of opportunity for change and innovation. We are at the cutting edge of teaching applied data and digital skills, with our unique patented learning platform EDUKATE.AI offering our clients and learners a unique learning experience. EDUKATE.AI was developed with support from Innovate UK and provides all of our learners with 24/7 immediate feedback on their work, helping accelerate the learning process and providing a sandbox environment to experiment on real world datasets. Since 2016, we have supported more than 15,000 learners across four continents with nearly 550,000 pieces of code submitted for feedback on EDUKATE.AI. We are trusted by some of the most recognisable brands in the world to educate their workforce, including Microsoft, the NHS, GSK, easyJet, the BBC and John Lewis. Our focus on applied learning to create business impact sets us apart - individual learners have reported applying their skills at work to generate recorded value of up to £40m.

Role Description We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Belarusian language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Qualifications - Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail. - Prior, tangible experience working in human data evaluation or annotation. - Verified Belarusian language proficiency of C1 or C2. - The ability to confidently transform raw feedback and quality trends into structured, actionable educational resources. - A meticulous approach to language, with the sharpness to identify and correct even the most subtle unnatural phrasing in their native tongue. Requirements - Operate autonomously to provide linguistic QA and develop alignment resources. - Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. - Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the Arabic language. - Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. - Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Benefits - Pay range of $6 to $65 per hour, with the exact rate determined based on experience, expertise, and geographic location. - Final offer amounts may vary from the pay range listed above. - As a contractor, you’ll supply a secure computer and high-speed internet. - Company-sponsored benefits such as health insurance and PTO do not apply. Company Description Engagement Type: Freelance / Independent Contractor Workplace Type: Remote

Role Description Take Command is looking for an Applied AI Specialist to help us apply AI in practical, measurable ways across our business. This role will start with primary ownership of Intercom Fin — improving how it supports customers today and exploring how it can support more advanced experiences in the future. This is a great opportunity for someone who is curious about AI, understands customer or member support workflows, and enjoys turning messy operational problems into clear, scalable solutions. You do not need to be an AI engineer to be successful in this role. We are looking for someone who can learn quickly, think analytically, write clearly, collaborate across teams, and develop deeper technical skills over time. Fin will be the anchor responsibility, but the role is broader than one tool. You will help evaluate where AI can improve: - Customer care - Client experience - Member experience - Internal workflows - Decision support What You’ll Do - Own day-to-day performance, quality, and improvement of Intercom Fin. - Monitor Fin metrics such as resolution rate, escalation rate, customer satisfaction, conversation quality, and recurring failure patterns. - Review unresolved or escalated conversations to identify root causes and improvement opportunities. - Improve Fin knowledge sources, instructions, workflows, routing, escalation logic, and guardrails. - Partner with CX, Product, Compliance, Operations, Sales, Marketing, and technical teams to ensure AI-powered experiences are accurate, helpful, compliant, and aligned to business goals. - Identify content, process, configuration, or data gaps that prevent AI tools from delivering a great user experience. - Support internal pilots and beta tests for expanded AI use cases, including experiences beyond traditional customer support. - Help define requirements, success metrics, test plans, rollout steps, and feedback loops for AI-enabled workflows. - Evaluate when Intercom Fin is the right solution and when another tool, workflow, automation, or process change may be a better fit. - Document learnings, risks, decisions, and recommendations so AI improvements can scale responsibly. Qualifications - Experience in customer support, customer experience, operations, business analysis, knowledge management, systems, or a related role. - Strong problem-solving skills and the ability to investigate ambiguous issues, identify patterns, and separate symptoms from root causes. - Clear writing and communication skills, especially the ability to explain complex topics in plain language. - Comfort working with support conversations, feedback, metrics, spreadsheets, dashboards, or other qualitative and quantitative data. - Strong judgment around customer experience, accuracy, risk, escalation, and when an AI tool should not answer. - Curiosity about AI tools and willingness to learn prompt writing, tool configuration, testing methods, and light technical concepts. - Ability to work cross-functionally with business, operations, compliance, product, and technical partners. - Ownership mindset: you are comfortable finding problems, proposing solutions, testing improvements, and measuring whether they worked. Preferred Experience - Hands-on experience with Intercom, Intercom Fin, or another AI chatbot / AI agent platform. - Experience configuring, monitoring, testing, or improving Fin (or similar) responses, help center content, macros, workflows, or support automations. - Experience in CX operations, help center management, support QA, business operations, or business analyst work. - Experience with health insurance, benefits administration, ICHRA, open enrollment, or another regulated customer-facing environment. - Comfort with reporting tools, spreadsheets, dashboards, workflow automation, CRM/support platforms, or systems administration. - Familiarity with prompts, AI agents, APIs, SQL, structured data, or knowledge-base architecture. What Success Looks Like - Fin becomes more accurate, useful, trusted, and measurable over time. - Customers, members, clients, and internal teams get faster, clearer answers with appropriate human escalation when needed. - Recurring support issues are identified and addressed through better content, configuration, workflows, data, or process changes. - New AI use cases are tested responsibly before launch, with clear success metrics and compliance guardrails. - Take Command develops a stronger operating model for applying AI to real business problems. Why This Role Matters AI is becoming an important part of how Take Command serves customers, members, clients, brokers, and internal teams. This role will help make sure our AI tools are not just exciting technology, but useful, accurate, measurable, and aligned to real human needs. If you are a strong operator, analyst, or customer experience professional who wants to grow into applied AI, this is an opportunity to help shape that capability from the ground up. Benefits - A generously funded ICHRA for medical, dental, and vision premiums and medical expenses. - Unlimited personal vacation in addition to regular company holidays. - 401(k): 90-day eligibility for 4% match that vests over 4 years with a one year cliff! - Two beautiful offices in Richardson, Texas (City Line) and Austin, Texas. - Competitive parental leave for new parents. - Up to two paid days of Paw-ternity leave. - ClassPass corporate membership with access to over 73,000 fitness and wellness options. - Flexible on where you work.