IT Operations & AI Support Tutor - Freelance

Workday Sweden Aktiebolag

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance. In this role, you will Be the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. Support feature development teams with infrastructure decisions and deployments. Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX). Design and implement scalable cloud infrastructure solutions. About You Basic Qualifications: 3+ years of experience in infrastructure, platform, or site reliability engineering. 3+ years of hands-on experience with GCP or equivalent cloud platforms, including managing production environments. 3+ years of experience with Kubernetes, including deployment, scaling, and operations. 3+ years of experience with infrastructure-as-code tooling, such as Terraform. 3+ years of experience designing and operating highly available, scalable, and reliable backend systems. 2+ years of experience coding backend applications, with a strong track record of writing reliable, maintainable services. Other Qualifications: Experience acting as an SRE, with a strong understanding of site reliability principles in production environments. Experience improving developer experience through internal tooling, CI/CD pipelines, and deployment automation. Familiarity with TypeScript in a backend context, enabling effective collaboration with product engineering teams. Experience with Postgres and Redis in production, including performance tuning and reliability practices. Experience supporting feature development teams with infrastructure decisions, reviews, and hands-on deployment support. Strong observability skills, including logging, metrics, alerting, and incident response. Ability to navigate ambiguity and drive infrastructure projects from concept to production. Strong communication skills, with the ability to partner effectively across engineering and product teams.

xAI

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE As an AI Tutor – Occupational Math Specialist, you'll help advance SpaceXAI's mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You'll focus on math as it is used in real-world occupational settings (e.g., finance, accounting, insurance, operations, logistics, skilled trades, healthcare analytics, RESPONSIBILITIES: * Use proprietary tools to label and evaluate data. * Support and ensure the delivery of high-quality curated data. * Work with engineers to refine tasks, tools, and workflows. * Design, select, and refine tasks grounded in real-world occupational math, for example: * Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. * Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. * Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. * Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. * Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. * Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. * Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. * Interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS * A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or * A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis * Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. * Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). * Proficiency in reading and writing, both in informal and professional English. * Strong ability to navigate various information resources and databases. * Outstanding communication, interpersonal, analytical, and organizational capabilities. * Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. * A strong passion for and commitment to technological advancements and innovation. PREFERRED SKILLS AND EXPERIENCE: * Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. * Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. * Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. * Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. * For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required.  On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.  * Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. * For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. * We are unable to provide visa sponsorship. * For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Bioptimus

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.  THIS IS A REMOTE ROLE. WE’RE HEADQUARTERED IN PARIS, BUT THE POSITION CAN BE PERFORMED REMOTELY OUTSIDE OF PARIS. THE OPPORTUNITY We are looking for a Clinical Expert to support Bioptimus’ clinical and scientific strategy for digital twin and data generation programs. In this role, you will work closely with the science, data, and partnerships teams to support clinical prioritization, scientific interpretation, academic collaborations, and pharma engagement across our research programs. You will contribute clinical and translational expertise to help identify the most important clinical questions and modalities to focus on, support the interpretation of model outputs, and advise on partnerships and research programs aligned with Bioptimus’ data and scientific goals. This is a part-time engagement with the possibility of becoming full-time. WHAT YOU'LL BE DOING As a Clinical Expert, you will own the following tasks: * Clinical Strategy: Support the identification of the most important clinical questions and modalities to prioritize across training and validation cohorts. Provide clinical input on tissue, drug class, disease, and modality prioritization. Support the selection of clinical metadata, endpoints, and patient-level annotations required to maximize downstream model utility. Identify and prioritize clinically relevant tasks including response prediction, toxicity prediction, biomarker discovery, indication expansion, and trial enrichment. * Scientific Interpretation: Provide clinical and biological review of model outputs and scientific results. Work closely with the science team to support results review and contribute to external-facing scientific narratives. Translate model behavior into clinically credible language for pharmaceutical, key opinion leader, and regulatory audiences. * Data & Academic Partnerships: Support connections with academic investigators running relevant clinical studies, including early-phase studies, novel-agent programs, immuno-oncology programs, and multimodal cohorts. Advise on academic partnership structures that align research collaborations with Bioptimus’ data needs, including retrospective and prospective studies. * Pharma Engagement: Support discussions with pharmaceutical R&D teams where relevant. Advise on the positioning of model claims for translational medicine and clinical development audiences. WHAT YOU'LL BRING The successful candidate will bring deep clinical and translational expertise, strong scientific judgment, and enthusiasm for working in a collaborative and fast-paced environment. We value individuals who combine clinical research experience with genuine interest in emerging machine learning approaches in biology. * Clinical Research Experience: MD/PhD with active or recent Principal Investigator experience designing and analyzing clinical studies, particularly studies involving translational endpoints, biomarker sub-studies, and multimodal cohorts. * Onco-Immunology Expertise: Deep expertise in onco-immunology, including IO mechanisms, response and resistance biology, tumor microenvironment biology, IO combinations, and understanding of pharmaceutical pipelines and unmet clinical needs. * Machine Learning & Multimodal Biology Interest: Working understanding of and genuine interest in machine learning and foundation model approaches applied to pathology, transcriptomics, and multimodal data integration. * Collaboration & Communication: Ability to work closely with scientific, clinical, and external stakeholder groups. Strong communication skills with the ability to contribute to scientific discussions and external-facing narratives. Comfortable operating in a startup environment with ambiguity and evolving priorities. HOW TO STAND OUT: * Pharma R&D experience through an industry role or substantive pharmaceutical collaboration history. * Existing academic or hospital network in onco-immunology. * Experience designing and analyzing studies involving translational endpoints, biomarker sub-studies, or multimodal cohorts. * Familiarity with ML or foundation model approaches in pathology, transcriptomics, or multimodal biology. THE CANDIDATE JOURNEY To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application: 1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position. 2. Hiring Manager (30 min): A discussion with the Hiring Manager focused on your clinical and translational research background, scientific expertise, and motivation for collaborating with Bioptimus. 3. Strategic Case Study Discussion (60 min): A collaborative discussion with members of the scientific and technical teams focused on clinical strategy, translational medicine, multimodal biology, and the application of foundation models in oncology and immunology. 4. Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you. 5. Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus. WHY THIS IS A UNIQUE OPPORTUNITY * Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research. * Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships. * Work in a collaborative, innovation-driven environment with top researchers and industry experts. We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.