Вакансии

Location: India Workplace: Remote INVESTMENT BANKING AI RESEARCHER (Pitch Books, Deal Decks) Full time | Remote — India ABOUT US Aptura is a London-based company working on understanding how AI is changing professional work. We look closely at how finance and advisory professionals actually work, and where AI helps or falls short. The company was founded by people with backgrounds at Lazard, McKinsey and Partners Group. ROLE DESCRIPTION We are looking for Subject Matter Experts from investment banking who have spent years building pitch books, teasers and deal decks. You know what a client-ready slide looks like, and how far most AI output still is from it. You have used AI tools on your own work and been frustrated by the mistakes they make, or you simply want to find out how good they really are. You will turn that experience into realistic PowerPoint tasks that test how well AI do the deck work of a junior banker. RESPONSIBILITIES INCLUDE - Writing realistic PowerPoint tasks drawn from your own deal work: building decks from source documents, filling corporate templates, rolling decks forward and making precise edits - Working through each task yourself so there is a clear, correct answer - Writing a yes-or-no checklist precise enough that an AI grader can mark any attempt against it NECESSARY SKILLS INCLUDE - 2+ years in M&A, ECM, DCM or leveraged finance at a bank or advisory boutique - Deep hands-on PowerPoint: native charts, tables and corporate templates - Ability to define what a correct deck looks like precisely enough for someone else to grade against it - Clear writing. Tasks must be written by you, not by AI tools - Attention to detail, and willingness to learn concepts in AI and data HOW IT WORKS 1. Apply with your details and CV. After applying, verify your email and choose an available 30-minute group walkthrough call. You can book immediately; there is no application-approval step before booking. 2. Attend the walkthrough and enter the code shared by the host at the end of the call to unlock your task workspace. 3. Create one original task from your own work in about 45 minutes. Submit the brief, the actual input files needed to complete it, a written expected result and at least five binary rubric checks, each with one skill tag. Input-file uploads are compulsory. 4. Write the brief and rubric yourself, without AI drafting, rewriting or polishing. Input materials must also be human-authored. Use only materials you are authorised to share, with confidential employer or client information removed. 5. Submit through your account for automated screening and team review. Follow any request for revisions in your account. Completing onboarding does not guarantee a job offer; selection remains subject to review. LOCATION Remote — India

Location: London Workplace: OnSite ABOUT APTURA At Aptura, we combine domain expertise with proprietary technology to deliver high-quality, domain-specific training data that helps frontier models perform better. At work, we're building a high-performance, people-first culture. We move quickly, think ambitiously, and set a high bar for ourselves, all while staying open, collaborative, and genuinely enjoyable to work with. The best ideas here win regardless of who they come from, teams sit close to leadership, and every voice has a say in what comes next. Joining Aptura means more than taking a job. It's an opportunity to help build a company from the ground up. We've grown from 3 to 23 people in the past year, and we're accelerating. That growth creates real ownership, meaningful responsibility, and the chance to make an outsized impact while helping redefine how regulated industries adopt and benefit from AI.   IDEAL CANDIDATE You are excited by hard problems and want to build an exceptional company. You don't need a playbook but will write one. - Sharp : You learn quickly, think critically, and thrive in unfamiliar territory. - High-agency : You take ownership, move without being asked, and make things happen. - Critical Thinker : You balance attention to detail with sound judgment and communicate with clarity.   RESPONSIBILITIES - Own project execution from onboarding through delivery. - Remove blockers, manage timelines, and keep stakeholders aligned so work never loses momentum. - Surface recurring issues, prioritise pain points, turn operational insights into product improvements. - No two days are the same. You'll work across hiring, onboarding, project delivery, contributor support, payments, and product operations - solving a wide range of problems as we scale. REQUIREMENTS - Exceptional academic or professional achievements. - Strong problem-solving instincts and bias for action. - Excellent written and verbal communication. - Fast learner who thrives in unfamiliar environments. - Can work well independently or as part of a team.   BENEFITS - Competitive salary - Modern, centrally located London office built for collaboration and focus - Access to a range of tools to boost productivity and maximise results - Tech, screens, and any equipment you need to perform at a high level   Logistics - Location: In-person at our office in Liverpool Street, London - Start date: Immediate

Location: India Workplace: Remote We are seeking radiologists with a chest/thoracic background to carry out structural annotation on de-identified chest CT scans, with a focus on spatial accuracy and consistency against detailed annotation guidelines. You will work asynchronously on a dedicated annotation platform, marking points, boxes and measurements on findings that have already been flagged upstream, to support the development of clinical AI imaging models. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES: - Click-point placement: Mark specific coordinates on a scan, such as the centre of a nodule. - Bounding boxes: Draw boxes around defined regions of interest, such as a flagged lesion. - Simple measurements: Record diameter, or distance between two marked points, on segmentations or polygons already drawn. - Guideline application: Work to an annotation guideline covering placement conventions, boundary definitions and measurement rules, applied consistently across a large volume of studies. - Edge case handling: Flag ambiguous cases with a short rationale so guidance can be refined. This is structural markup project with no interpretation required. You will not be reading scans for diagnosis, judging malignancy, or making clinical decisions. QUALIFICATIONS: - Registration: Registered radiologist in your country of practice with active license - Experience: 3–10 years' experience in radiology, with a chest/thoracic focus - Knowledge: Strong grounding in thoracic anatomy and cross-sectional CT. - Attention to detail: Proven accuracy and consistency in image review or measurement work. - Technical proficiency: Comfortable using structured annotation tools and digital platforms. - Prior imaging annotation experience is an advantage but not required. - Language: Native or near-native written English. LEGAL STATUS: - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate, paid weekly. - Professional Development: Hands-on experience in clinical AI development and medical imaging, shaping how AI systems localise and measure findings on CT.

Location: USA Workplace: Remote We are seeking radiologists with a chest/thoracic background to carry out structural annotation on de-identified chest CT scans, with a focus on spatial accuracy and consistency against detailed annotation guidelines. You will work asynchronously on a dedicated annotation platform, marking points, boxes and measurements on findings that have already been flagged upstream, to support the development of clinical AI imaging models. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES: - Click-point placement: Mark specific coordinates on a scan, such as the centre of a nodule. - Bounding boxes: Draw boxes around defined regions of interest, such as a flagged lesion. - Simple measurements: Record diameter, or distance between two marked points, on segmentations or polygons already drawn. - Guideline application: Work to an annotation guideline covering placement conventions, boundary definitions and measurement rules, applied consistently across a large volume of studies. - Edge case handling: Flag ambiguous cases with a short rationale so guidance can be refined. This is structural markup project with no interpretation required. You will not be reading scans for diagnosis, judging malignancy, or making clinical decisions. QUALIFICATIONS: - Registration: Registered radiologist in your country of practice with active license - Experience: 3–10 years' experience in radiology, with a chest/thoracic focus - Knowledge: Strong grounding in thoracic anatomy and cross-sectional CT. - Attention to detail: Proven accuracy and consistency in image review or measurement work. - Technical proficiency: Comfortable using structured annotation tools and digital platforms. - Prior imaging annotation experience is an advantage but not required. - Language: Native or near-native written English. LEGAL STATUS: - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate, paid weekly. - Professional Development: Hands-on experience in clinical AI development and medical imaging, shaping how AI systems localise and measure findings on CT.

Location: United Kingdom Workplace: Remote We are seeking radiologists with a chest/thoracic background to carry out structural annotation on de-identified chest CT scans, with a focus on spatial accuracy and consistency against detailed annotation guidelines. You will work asynchronously on a dedicated annotation platform, marking points, boxes and measurements on findings that have already been flagged upstream, to support the development of clinical AI imaging models. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES: - Click-point placement: Mark specific coordinates on a scan, such as the centre of a nodule. - Bounding boxes: Draw boxes around defined regions of interest, such as a flagged lesion. - Simple measurements: Record diameter, or distance between two marked points, on segmentations or polygons already drawn. - Guideline application: Work to an annotation guideline covering placement conventions, boundary definitions and measurement rules, applied consistently across a large volume of studies. - Edge case handling: Flag ambiguous cases with a short rationale so guidance can be refined. This is structural markup project with no interpretation required. You will not be reading scans for diagnosis, judging malignancy, or making clinical decisions. QUALIFICATIONS: - Registration: Registered radiologist in your country of practice with active license - Experience: 3–10 years' experience in radiology, with a chest/thoracic focus - Knowledge: Strong grounding in thoracic anatomy and cross-sectional CT. - Attention to detail: Proven accuracy and consistency in image review or measurement work. - Technical proficiency: Comfortable using structured annotation tools and digital platforms. - Prior imaging annotation experience is an advantage but not required. - Language: Native or near-native written English. LEGAL STATUS: - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate, paid weekly. - Professional Development: Hands-on experience in clinical AI development and medical imaging, shaping how AI systems localise and measure findings on CT.

Location: United Kingdom Workplace: Remote We are seeking qualified medical doctors to annotate and code clinical documents with SNOMED CT, with a focus on accuracy and consistency against detailed coding guidelines. You will work asynchronously on a dedicated annotation platform, coding de-identified clinical notes and documentation including discharge summaries, lab results and progress notes against SNOMED CT concepts to support the development of clinical AI platforms. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES - Structured Annotation: Identify clinically relevant concepts across discharge summaries, lab results and prognosis notes, and map them to the correct SNOMED CT codes on a dedicated platform. - Guideline Application: Work to a coding guideline covering hierarchy scope, negation, medication scope, section-level inclusions and compound coding, applied consistently across a large volume of documents. - Edge Case Handling: Flag ambiguous or contested cases with a short rationale so guidance can be refined. - Quality Review: Participate in adjudication rounds to resolve disagreements and reach a consensus code set. QUALIFICATIONS: License: GMC Registered Doctor based in the UK Experience: Minimum 1–2 years of clinical practice, with SNOMED CT coding or clinical terminology experience. Knowledge: Strong grounding in clinical documentation, terminology and coding conventions. Attention to detail: Proven accuracy and consistency in coding or clinical review work. Technical proficiency: Comfortable using structured annotation tools and digital platforms. Language: Native or near-native written English. LEGAL STATUS You will have the right to work in your country of residence. You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate, paid weekly - Professional Development: Hands-on experience in clinical AI development and terminology work, shaping how AI systems interpret clinical records and assign medical codes.

Location: London Workplace: OnSite ABOUT APTURA AI We work with frontier AI labs and companies across healthcare, finance, and legal providing the specialist knowledge and human oversight that makes AI models more accurate and reliable in these highly regulated domains. In healthcare, we specialise in sourcing clinicians experts and annotating medical data at scale that is used to train the models such as labelling and reviewing consultation notes, medical images or pathology reports. The projects we manage tend to sit at the heart of how AI learns to understand real clinical interactions from consultations, workflows, and the delivery of care that directly affects both clinicians and patients. Projects we have been involved in, include SNOMED Medical Coding for Medical Device Registration, AI powered MDT platforms and AI-assisted Clinical Trials Recruitment. We're a lean, in-person team based in London. We move quickly, hold ourselves to a high standard, and expect every individual to contribute directly. ABOUT THE ROLE As a second hire in the healthcare team it comes with a lot of responsibility and growth opportunities. The role involves staying up to date with the latest published literature for AI in healthcare. You will play a key role in designing and publishing benchmarks in collaboration with stakeholders. It also involves being a part of initial customer conversations and sourcing the right clinician. This role carries breadth and real ownership from day one with the unique opportunity to work directly with some of the world’s leading AI labs. You will work directly with the Head of Healthcare, Dr Abdul Rahyead (former NHS doctor and ex-founder). KEY RESPONSIBILITIES - Research: Staying up to date with academic literature, designing benchmarks and publishing research, building relationships with researchers and industry partners - Community Building: Growing the healthcare expert network, handling onboarding, maintaining timely communications and payouts for experts. Exploring creative ways to engage more clinicians through hackathons, platforms and IRL events - Business Development: Support commercial and partnership activities, including setting up GTM motions and outreach initiatives ESSENTIAL REQUIREMENTS - Qualified medical doctor with a minimum of 1 year clinical experience - Strong organisation skills with the ability to manage multiple projects at the same time and competing priorities - Ability to context-switch between clinicians, customers, projects and operational responsibilities without losing pace or attention to details - A proactive, self-directed working style, comfortable operating in an environment where the processes are still being defined and the playbook is being written in real-time - Strong research skills, able to critically appraise academic papers and publish benchmarks DESIRABLE ATTRIBUTES - Previously worked in industry or a startup, scale-up or similarly high-paced setting - Familiarity with data annotation/labelling, designing and developing evals for AI models - Track record of publishing research and working with academic institutions - Experience in a client-facing, commercial or business development role

Location: Asia Workplace: Remote We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats. The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering. You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES - Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty. - Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm. - Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information. - Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items. - Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose. - Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers. QUALIFICATIONS - Licensure: Registered doctor based in the US, Europe or Asia-Pacific. - Experience: Current or recent clinical practice in your stated specialty. - Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards. - Attention to detail: Proven accuracy and consistency in clinical review or assessment work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate in line with specialty and level of experience. - Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.

Location: USA Workplace: Remote We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats. The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering. You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES - Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty. - Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm. - Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information. - Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items. - Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose. - Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers. QUALIFICATIONS - Licensure: Registered doctor based in the US, Europe or Asia-Pacific. - Experience: Current or recent clinical practice in your stated specialty. - Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards. - Attention to detail: Proven accuracy and consistency in clinical review or assessment work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate in line with specialty and level of experience. - Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.

Location: United Kingdom; Europe Workplace: Remote We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats. The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering. You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES - Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty. - Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm. - Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information. - Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items. - Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose. - Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers. QUALIFICATIONS - Licensure: Registered doctor based in the US, Europe or Asia-Pacific. - Experience: Current or recent clinical practice in your stated specialty. - Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards. - Attention to detail: Proven accuracy and consistency in clinical review or assessment work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate in line with specialty and level of experience. - Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.

Location: USA Workplace: Remote We are seeking experienced US registered nurses to review and assess AI-generated responses from a health coaching agent, with a focus on safety, regulatory compliance, and clinical content accuracy. You will work asynchronously on a dedicated review platform, performing short, structured evaluations to help train and refine AI models for patient-facing health guidance. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES: - Structured Grading: Score AI agent responses against a pre-defined rubric, applying the highest-priority criteria consistently across a large volume of items. - Safety Review: Identify responses that could cause patient harm missed red flags, unsafe advice, failure to escalate or signpost to care. - Clinical Accuracy: Assess factual correctness, completeness and guideline alignment of clinical content. - Written Feedback: Provide brief, specific rationale for each failed response and general guidance on how it could be improved. QUALIFICATIONS - Licensure: Active RN license for US - Experience: Minimum 2 years of clinical nursing practice. - Knowledge: Strong grounding in clinical guidelines, patient safety and scope-of-practice boundaries. - Attention to detail: Proven accuracy and consistency in clinical documentation or review work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate - Professional Development: Hands-on experience in AI evaluation and model fine-tuning, shaping how AI is deployed in patient care.

Location: USA Workplace: Remote We are looking for doctors and medical experts to join our growing community of experts who are available to be matched on an on-going basis to new innovative AI projects with the world's leading AI labs and companies that are bringing to life AI in healthcare.   Your medical expertise will shape the way AI understands and processes real-world clinical interactions, workflows, consultations including the delivery of care with software that directly impacts both healthcare professionals and patients.   These projects are flexible, fully remote and ideal for clinicians who want to work on shaping the future of AI in healthcare alongside their existing professional or academic commitments.   ABOUT MENTIS AI   At Mentis AI, we’re building the next generation of AI systems grounded in real-world clinical expertise. As a clinical expert, you’ll gain hands-on exposure to cutting-edge AI model development, working side-by-side with senior AI researchers and clinicians to translate your medical knowledge into industry-ready clinical solutions to advance healthcare.   HOW IT WORKS   Once we have a new project, you will be automatically screened and matched to assess if you are a suitable fit. If shortlisted, we will then invite you to take a skills test (~10-30mins) and if required will also conduct an interview.   We are looking to match you based on your skillset, expertise, grade and speciality to make sure it's the right fit for the project!   If successful, you will be onboarded onto the platform and can start getting involved in a diverse range of tasks that vary from labelling clinical notes, summarising medical records, annotating images to reviewing and evaluating the performance of AI Models/LLMs.   The rapid rise of AI in healthcare means there are so many new and exciting ways to train, review and improve the deployment of AI in healthcare, which you will directly have an impact upon.   KEY RESPONSIBILITIES   - Data labeling and curation: Review clinical notes, audio, videos and other modalities, identifying relations and reasoning steps per guidelines. - LLM and model evaluations: Run structured evals (human-in-the-loop) to assess accuracy, safety, clinical relevance and clinical reasoning of models. - Prompting and prompt-engineering: Design, test, and iterate prompts to improve performance and reliability. - Fine-tuning support: Create high-quality instructions/responses and explore edge-case datasets to enhance models. - Feedback and error analysis: Identify critical/failure points, propose strategies to help mediate and document findings. - Scoring/Rubrics frameworks: Develop and refine scoring rubrics for quality assurance (e.g., accuracy, clarity, safety, completeness, guideline adherence). - Guideline refinement: Collaborate with researchers to improve annotation standards, acceptance criteria, and evaluation protocols.   ESSENTIAL REQUIREMENTS   - Doctor based in the US with active license to practice. - Native or near-native fluency in English (spoken and written). - Good understanding of clinical terminology, tools and workflows. - Excellent summarisation and written communication skills. - Strong attention to detail and commitment to clinical accuracy. - Comfortable working independently in an asynchronous environment.   WHAT WE OFFER   - Remote work - Asynchronous and flexible scheduling, allowing you to balance work with clinical practice or studies. - Competitive compensation based on experience. - The opportunity to influence and enhance AI tools that serve healthcare professionals. - Experience working at the intersection of medicine and AI, helping shape the future of healthcare. - Opportunity to collaborate with clinicians and AI researchers to deepen your own clinical acumen and professional expertise in AI within healthcare.

Location: London; United Kingdom Workplace: Remote We are looking for doctors to join our growing community of experts who are available to be matched on an on-going basis to new innovative AI projects with the world's leading AI labs and companies that are bringing to life AI in healthcare. Your medical expertise will shape the way AI understands and processes real-world clinical interactions, workflows, consultations including the delivery of care with software that directly impacts both healthcare professionals and patients. These projects are flexible, fully remote and ideal for clinicians who want to work on shaping the future of AI in healthcare alongside their existing professional or academic commitments. ABOUT MENTIS AI At Mentis AI, we’re building the next generation of AI systems grounded in real-world clinical expertise. As a clinical expert, you’ll gain hands-on exposure to cutting-edge AI model development, working side-by-side with senior AI researchers and clinicians to translate your medical knowledge into industry-ready clinical solutions to advance healthcare. HOW IT WORKS Once we have a new project, you will be automatically screened and matched to assess if you are a suitable fit. If shortlisted, we will then invite you to take a skills test (~10-30mins) and if required will also conduct an interview. We are looking to match you based on your skillset, expertise, grade and speciality to make sure it's the right fit for the project! If successful, you will be onboarded onto the platform and can start getting involved in a diverse range of tasks that vary from labelling clinical notes, summarising medical records, annotating images to reviewing and evaluating the performance of AI Models/LLMs. The rapid rise of AI in healthcare means there are so many new and exciting ways to train, review and improve the deployment of AI in healthcare, which you will directly have an impact upon. KEY RESPONSIBILITIES - Data labeling and curation: Review clinical notes, audio, videos and other modalities, identifying relations and reasoning steps per guidelines. - LLM and model evaluations: Run structured evals (human-in-the-loop) to assess accuracy, safety, clinical relevance and clinical reasoning of models. - Prompting and prompt-engineering: Design, test, and iterate prompts to improve performance and reliability. - Fine-tuning support: Create high-quality instructions/responses and explore edge-case datasets to enhance models. - Feedback and error analysis: Identify critical/failure points, propose strategies to help mediate and document findings. - Scoring/Rubrics frameworks: Develop and refine scoring rubrics for quality assurance (e.g., accuracy, clarity, safety, completeness, guideline adherence). - Guideline refinement: Collaborate with researchers to improve annotation standards, acceptance criteria, and evaluation protocols. ESSENTIAL REQUIREMENTS - Doctor based in the UK with an active GMC license. - Native or near-native fluency in English (spoken and written). - Good understanding of clinical terminology, tools and workflows. - Excellent summarisation and written communication skills. - Strong attention to detail and commitment to clinical accuracy. - Comfortable working independently in an asynchronous environment. WHAT WE OFFER - Remote work - Asynchronous and flexible scheduling, allowing you to balance work with clinical practice or studies. - Competitive compensation based on experience. - The opportunity to influence and enhance AI tools that serve healthcare professionals. - Experience working at the intersection of medicine and AI, helping shape the future of healthcare. - Opportunity to collaborate with clinicians and AI researchers to deepen your own clinical acumen and professional expertise in AI within healthcare.

Location: London Workplace: OnSite ABOUT APTURA We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you. ABOUT THE ROLE As a Member of Technical Staff on our Software Engineering team, you will build the platform that powers how Aptura operates and scales — the annotation tooling, workflow systems, quality control pipelines, and internal infrastructure that sit behind every dataset and environment we ship. Day to day, that looks like: designing expert task creation flows, building task assignment and review interfaces, writing the data pipelines that move outputs from domain experts into structured training sets, and integrating LLM-powered tooling directly into the product. Some days it's product engineering. Some days it's closer to infrastructure. The common thread is that the software you build is what lets a small team produce high-quality evaluation data at scale. You'll be the person who makes the platform real. Decide what gets built, how it gets built, and set the standard for how we build as we grow. WHAT YOU'LL DO - Build and own the core data annotation and workflow platform end to end — from task assignment and expert interfaces to quality control and dataset delivery - Design systems that support expert onboarding, task routing, review workflows, and QA at scale - Build and improve AI-integrated pipelines across the platform, including LLM-assisted annotation, automated checking, and model-in-the-loop workflows - Work directly with founders and domain operators to turn manual, bespoke processes into reliable, scalable software - Make strong product and engineering decisions in ambiguous, fast-moving situations — scoping, prioritising, and shipping without waiting for perfect specs - Help define how we build as a team: tooling choices, engineering standards, and product direction WHO WE'RE LOOKING FOR You will not be a good fit if you thrive in well-defined scopes and prefer a clear spec before moving. We are looking for people who are comfortable identifying what needs building, making a call, and shipping — often before the full picture is clear. You will not be a good fit if you like to go deep on one technical area for an extended period. We are looking for people who are energised by moving across product, infrastructure, data systems, and AI tooling — sometimes all in the same week. You will not be a good fit if you prefer to hand work off at the boundaries of your role. We are looking for people who want to own problems end to end, from the first conversation through to something live. You will not be a good fit if you aren't yet integrating AI into how you build day to day. We are looking for people who are already using LLMs and coding agents as part of how they work, and are excited to push that further. You will not be a good fit if you think of speed and quality as things you trade off against each other. We are looking for people who don't cut corners — they cut scope. We don't care about background, experience, or prestige. We want people who can demonstrate they will work hard, learn fast, and ship things that matter. Former founders, early engineers at startups, and people with infrastructure experience are a plus. NICE TO HAVE - Experience building internal tools, annotation platforms, workflow software, or operations-heavy products - Familiarity with modern product stacks: React, Next.js, TypeScript, Node.js, FastAPI, or similar - Exposure to AI products, LLM tooling, or evaluation workflows - Domain interest in finance, healthcare, or legal - Previous experience as an early or founding engineer On-site in London. Compensation (salary + equity) will be competitive.

Location: London Workplace: OnSite ABOUT APTURA We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you. ABOUT THE ROLE As a Member of Technical Staff on our Applied AI team, you will build the tasks and environments that AI labs use to train and evaluate their agents in finance, healthcare, and legal. Day to day, that looks like: constructing RL environments around spreadsheets, documents, and professional workflows. Writing verification logic and reward functions. Working with domain experts to scope what a correct answer actually looks like in an LBO model or a clinical note. Some days it's engineering, some days it's closer to research. The common thread is that you're producing the ground truth that frontier models get measured against. WHAT YOU'LL DO - Build RL environments across finance, healthcare, and legal domains - Assist in designing tasks with golden answers, calibrated rubrics, and programmatic reward signals - Write verification logic and reward functions that can distinguish good model outputs from bad ones - Work directly with domain experts (investment analysts, physicians, attorneys) to translate complex professional workflows into structured tasks - Prototype new approaches to evaluation, verification, and synthetic data generation WHO WE'RE LOOKING FOR - Practical experience building with LLMs: prompting, evaluation, and agentic harnesses. You've built things that actually run, not just notebooks. - High agency and technically sharp. You don't wait for permission, specs, or a roadmap. You see what needs doing, figure out how, and get it done. - Comfortable working across very different contexts. The job moves between engineering, evaluation design, and deep collaboration with domain experts often in the same day. - You ship and iterate. Small team, no room for work that sits in review. Bias toward getting something working, learning from it, and improving it. - You own problems end to end, from scoping with a domain expert through to a working environment. If you prefer clearly partitioned tickets, this probably isn't the right fit. - Already using LLMs as part of how you build, not just as the thing you're building for. NICE TO HAVE - Domain knowledge in finance, healthcare, or legal - Familiarity with RL concepts, model training, and post-training workflows - Cloud infrastructure experience (AWS or GCP) - Previous startup experience, especially as an early engineer

Location: London Workplace: OnSite About Aptura Aptura is a research partner to the frontier AI labs: Anthropic, OpenAI, Google DeepMind. We capture how experienced professionals actually reason, so the models can learn from it. The role: Three months of banking work, done properly, without the pitch cycle, the staffer, or the live client. Half of it is building. The other half is judging what's already been built, yours and other people's, and being able to say precisely why it holds or why it doesn't. - Build DCFs, trading comps, precedent transactions and LBOs from scratch, to live-mandate standard, with full supporting assumptions - Produce valuations, models and decks across M&A, financial advisory and capital markets - Review other contributors' work the way an associate reviews an analyst's: check the logic, find the broken link, send it back with the reason - Judge AI-generated analysis on the same terms, and say when it's wrong however polished it looks - Work with our research team to turn how bankers actually think into something a model can learn This role will be a great fit if you - Have 2+ years in investment banking at a bulge bracket or elite boutique (Goldman, Morgan Stanley, J.P. Morgan, BofA, Citi, Barclays, UBS, DB, Evercore, Moelis, Centerview, Lazard, Jefferies) - Know modelling, valuation and deal mechanics cold - Hold a high bar and don't move it when the work is nearly good enough - Can explain why a piece of reasoning is right or wrong, not just that it is - Are curious about AI. No technical background needed Logistics - Location: Liverpool Street or Remote - Start date: Immediate - Referral bonus: For any successful referral hired into this role