
Aptura
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99 Jobs
Role Description Mentis AI is recruiting U.S based, board-certified Radiologists to participate in an AI review project focused on liver tumor and ablation zone segmentation in CT imaging. This is an opportunity for experienced radiologists to play a direct role in shaping how AI identifies, delineates, and interprets liver tumors and ablation zones with real implications for how these systems will perform in clinical practice. As part of this project, you'll collaborate with AI researchers to review, evaluate, and refine pre-annotated CT segmentations used to train and validate AI systems operating in oncologic and interventional radiology settings. Your clinical expertise is essential to ensuring the platform is accurate, safe, and grounded in real-world interventional reasoning. This role is fully remote, flexible, and well-suited to interventional radiologists balancing existing clinical, academic, or research commitments. Qualifications - Board certification in Radiology in the United States: - Liver Radiologist - Abdominal Radiologist - Radiologist with Hepatic Oncology Focus (HCC/CRLM) - Fellowship-Trained Abdominal / Oncology Radiologist - Minimum 5 years clinical experience in radiology post board certification - Strong proficiency in interpreting hepatic CT imaging, including pre- and post-ablation assessment - Excellent analytical skills with high attention to anatomical detail and clinical accuracy - Comfortable working independently and asynchronously in a remote environment Requirements - Segmentation Review: - Systematically review pre-annotated liver tumor and ablation zone segmentations across CT cases, assessing each for clinical and anatomical accuracy. - Approval & Correction: - For each case, either approve the existing segmentation or apply corrections where the annotation does not meet clinical standards. - Each reviewed case receives a status of Approved, Corrected, or Excluded, alongside a difficulty score rated on a Likert scale from 1 to 5. Benefits - Flexible scheduling compatible with existing clinical or academic commitments - Fully remote participation from anywhere in the United States - Competitive compensation, paid on an hourly basis
Role Description Mentis AI is recruiting U.S based Registered Dietitians to participate in a range of AI development projects focused on clinical nutrition data quality and model safety. This is a unique opportunity for U.S based Registered Dietitians to play a direct role in shaping how AI understands and applies clinical nutrition information. This role is fully remote, flexible, and well-suited to dietitians balancing existing clinical, academic, or industry commitments. At Mentis AI, we help companies build the next generation of clinically grounded artificial intelligence. Project Overview - Data Labeling and Curation: - Review clinical notes, audio, video, and other modalities, identifying relevant nutritional concepts, relationships, and clinical reasoning steps in accordance with project guidelines. - LLM and Model Evaluations: - Run structured human-in-the-loop evaluations to assess the accuracy, safety, clinical relevance, and nutritional reasoning of AI models across a range of dietary and clinical scenarios. - Prompting and Prompt Engineering: - Design, test, and iterate on prompts to improve AI model performance and reliability in nutrition-specific clinical contexts. - Fine-Tuning Support: - Create high-quality instruction and response pairs, and explore edge-case datasets to help enhance model behaviour across complex or underrepresented nutrition scenarios. - Feedback and Error Analysis: - Identify critical failure points in model outputs, propose strategies to address them, and document findings clearly within the review platform. - Scoring and Rubric Frameworks: - Develop and refine scoring rubrics for quality assurance purposes, covering dimensions such as accuracy, clarity, safety, completeness, and adherence to clinical nutrition guidelines. - Guideline Refinement: - Collaborate with AI researchers to improve annotation standards, acceptance criteria, and evaluation protocols relevant to clinical dietetics. Qualifications - Active Registered Dietitian (RD) or Registered Dietitian Nutritionist (RDN) credential in the United States - Strong familiarity with U.S. clinical nutrition workflows, dietary documentation, and nutrition classification systems - Demonstrated expertise across therapeutic diets, food-drug interactions, and special population considerations (renal disease, oncology, paediatrics, pregnancy, and lactation) - Excellent analytical and clinical summarisation skills with high attention to detail - Comfortable working independently and asynchronously in a remote environment Requirements - Active Registered Dietitian (RD) or Registered Dietitian Nutritionist (RDN) credential in the United States - Strong familiarity with U.S. clinical nutrition workflows, dietary documentation, and nutrition classification systems - Demonstrated expertise across therapeutic diets, food-drug interactions, and special population considerations (renal disease, oncology, paediatrics, pregnancy, and lactation) - Excellent analytical and clinical summarisation skills with high attention to detail - Comfortable working independently and asynchronously in a remote environment Benefits - Flexible scheduling compatible with existing clinical commitments - Fully remote and async work - Competitive compensation, paid on an hourly basis
Role Description Mentis AI is recruiting U.S based, board-certified Interventional Radiologists to participate in an AI review project focused on liver tumor and ablation zone segmentation in CT imaging. This is an opportunity for experienced interventional radiologists to play a direct role in shaping how AI identifies, delineates, and interprets liver tumors and ablation zones with real implications for how these systems will perform in clinical practice. As part of this project, you'll collaborate with AI researchers to review, evaluate, and refine pre-annotated CT segmentations used to train and validate AI systems operating in oncologic and interventional radiology settings. Your clinical expertise is essential to ensuring the platform is accurate, safe, and grounded in real-world interventional reasoning. This role is fully remote, flexible, and well-suited to interventional radiologists balancing existing clinical, academic, or research commitments. Qualifications - Board certification in Interventional Radiology in the United States - Minimum 5 years clinical experience in interventional radiology - Strong proficiency in interpreting hepatic CT imaging, including pre- and post-ablation assessment - Excellent analytical skills with high attention to anatomical detail and clinical accuracy - Comfortable working independently and asynchronously in a remote environment Requirements - Segmentation Review: Systematically review pre-annotated liver tumor and ablation zone segmentations across CT cases, assessing each for clinical and anatomical accuracy. - Approval & Correction: For each case, either approve the existing segmentation or apply corrections where the annotation does not meet clinical standards. Each reviewed case receives a status of Approved, Corrected, or Excluded, alongside a difficulty score rated on a Likert scale from 1 to 5. Benefits - Flexible scheduling compatible with existing clinical or academic commitments - Fully remote participation from anywhere in the United States - Competitive compensation, paid on an hourly basis
Role Description Mentis AI is recruiting U.S based Licensed Pharmacists to participate in an AI review project focused on drug data quality and drug database integrity. This is a unique opportunity for U.S. licensed pharmacists to play a direct role in shaping how AI understands and applies clinical drug information from dosage and indications to contraindications, lactation guidance, and organ-specific dosing adjustments. As part of this project, you'll collaborate with AI researchers to review, evaluate, and refine drug profile data used to train and validate AI systems operating in clinical and pharmaceutical settings. Your pharmacist expertise is essential to ensuring the platform is accurate, safe, and grounded in real-world clinical pharmacology. This role is fully remote, flexible, and well-suited to pharmacists balancing existing clinical, academic, or industry commitments. Qualifications - Active pharmacist license in the United States - Strong familiarity with U.S. pharmacy workflows, clinical documentation, and drug classification systems - Demonstrated expertise in evaluating dosage guidelines, drug indications, contraindications, and special population considerations (renal/hepatic impairment, lactation) - Excellent analytical and clinical summarisation skills with high attention to detail - Commitment to clinical accuracy and patient safety principles - Comfortable working independently and asynchronously in a remote environment Requirements - Active pharmacist license in the United States - Strong familiarity with U.S. pharmacy workflows, clinical documentation, and drug classification systems - Demonstrated expertise in evaluating dosage guidelines, drug indications, contraindications, and special population considerations (renal/hepatic impairment, lactation) - Excellent analytical and clinical summarisation skills with high attention to detail - Commitment to clinical accuracy and patient safety principles - Comfortable working independently and asynchronously in a remote environment Benefits - Flexible scheduling compatible with existing clinical commitments - Fully remote and async work - Competitive compensation, paid on an hourly basis
Role Description We're building out our India cohort and looking for high-performing investment banking associates in Bangalore to join as AI Residents. This is a chance to apply your bulge-bracket training to a problem set that didn't exist five years ago: teaching frontier AI to reason like a banker. - Prompt: Build realistic, deal-relevant scenarios, the kind of work you'd assign to a first-year analyst, and test AI outputs against the standards of a real deal team. - Compare human vs. machine judgment: Identify where AI reasoning breaks down on valuation, accounting nuance, and transaction structuring. - Design frameworks: Translate banker intuition; how you stress assumptions, navigate ambiguity in financials, and pressure-test management projections, into problems that challenge frontier AI. - Construct expert benchmarks: Build and annotate real-world DCFs, LBOs, comps, and live deal cases used to evaluate AI systems. Qualifications - 3–4+ years of IB or Corporate Finance experience at a top international bank (bulge bracket, elite boutique, or top-tier global advisory). - Associate level; sector agnostic. - Strong modeling and valuation skills (DCF, LBO, comps, precedents). - Excellent written communication and attention to detail. - Real intellectual curiosity about AI in finance. Requirements - Commitment: Minimum 30+ hours/week, flexible scheduling. - Location: Bangalore-based, fully remote. - Compensation: Competitive hourly rate, commensurate with experience. - Start date: Immediate / Rolling. - Referral bonus for any successful referral hired into this role. Benefits - Direct exposure to how AI labs train models, knowledge that will be increasingly valuable across buy-side, strategy, and corporate development roles. - Be among the first IB professionals in India contributing to the frontier AI development process in finance. - A differentiated story for your next move, whether that's PE, growth equity, or a strategic role.
Role Description This residency is for investment banking professionals in Bangalore who want to be on the inside of how AI is reshaping finance, rather than reading about it. You'll work alongside ex-bulge-bracket and elite-boutique professionals on the same problem sets that frontier AI labs are actively working on, applied to corporate finance. Qualifications - 3–4+ years of IB or Corporate Finance experience at a top international bank (bulge bracket, elite boutique, or top-tier global advisory). - Strong financial modelling and valuation skills in Excel. - Thorough understanding of financial statements, valuation, and financial modelling. - Skilled at extracting and interpreting data from filings, earnings materials, and investor presentations. - High attention to detail, with excellent summarisation and written communication skills. - Able to produce structured analytical outputs with clear explanations of methodology. Requirements - Design and build financial analysis scenarios tailored to your area of expertise. - Create annotated financial models that demonstrate analytical logic. - Structure data extraction and analysis tasks from public company materials. - Evaluate AI-generated outputs for accuracy and professional quality. - Minimum 30+ hours per week. - Remote, asynchronous contract. - Contribute to a research initiative with a leading foundational AI lab; help enhance AI capabilities in corporate finance modelling. Key Responsibilities - Design and review challenging finance scenarios and prompts to advance AI reasoning. - Build, adapt, and annotate financial models to highlight key logic and decision-making. - Review and validate assigned tasks with a high level of accuracy. - Maintain well-organised documentation and uphold internal standards. Benefits - Contribute to the direction of AI in finance. - Gain firsthand exposure to how AI models are trained and developed. - Build specialised expertise at the intersection of finance and AI. - Competitive pay. Residency Structure - Commitment: Minimum 30+ hours/week, flexible scheduling. - Location: Bangalore-based, fully remote and asynchronous. - Compensation: Competitive hourly rate, commensurate with experience. - Start date: Immediate / Rolling. - Referral bonus: for any successful referral hired into this role.
Role Description Aptura is expanding its India cohort and looking for sharp investment banking associates in Bangalore to join as AI Residents. This is a chance to apply your bulge-bracket training to a problem that didn't exist a few years ago: teaching frontier AI to reason like a banker through valuation, modelling, deal analysis, and the kind of judgment calls that define quality work in corporate finance. Qualifications - 4+ years of IB or Corporate Finance experience at a top international bank (bulge bracket, elite boutique, or top-tier global advisory). - Strong financial modelling and valuation skills in Excel. - Thorough understanding of financial statements, valuation, and financial modelling. - Skilled at extracting and interpreting data from filings, earnings materials, and investor presentations. - High attention to detail, with excellent summarisation and written communication skills. - Able to produce structured analytical outputs with clear explanations of methodology. Requirements - Design and build financial analysis scenarios tailored to your area of expertise. - Create annotated financial models that demonstrate analytical logic. - Structure data extraction and analysis tasks from public company materials. - Evaluate AI-generated outputs for accuracy and professional quality. - Minimum 30+ hours per week. - Remote, asynchronous contract. - Contribute to a research initiative with a leading foundational AI lab; help enhance AI capabilities in corporate finance modelling. Key Responsibilities - Design and review challenging finance scenarios and prompts to advance AI reasoning. - Build, adapt, and annotate financial models to highlight key logic and decision-making. - Review and validate assigned tasks with a high level of accuracy. - Maintain well-organised documentation and uphold internal standards. Benefits - Contribute to the direction of AI in finance. - Gain firsthand exposure to how AI models are trained and developed. - Build specialised expertise at the intersection of finance and AI. - Competitive pay. Residency Structure - Commitment: Minimum 30+ hours/week, flexible scheduling. - Location: India-based, fully remote and asynchronous. - Compensation: Competitive hourly rate, commensurate with experience. - Start date: Immediate / Rolling. - Referral bonus: $200 for any successful referral hired into this role.
Role Description We're expanding our India cohort and looking for sharp investment banking associates in Bangalore. As an AI Resident, you'll apply your bulge-bracket training to a problem set that didn't exist a few years ago: teaching frontier AI to reason like a banker across valuation, modelling, and deal analysis. Qualifications - 3–4+ years of IB or Corporate Finance experience at a top international bank (bulge bracket, elite boutique, or top-tier global advisory). - Strong financial modelling and valuation skills in Excel. - Thorough understanding of financial statements, valuation, and financial modelling. - Skilled at extracting and interpreting data from filings, earnings materials, and investor presentations. - High attention to detail, with excellent summarisation and written communication skills. - Able to produce structured analytical outputs with clear explanations of methodology. Requirements - Design and build financial analysis scenarios tailored to your area of expertise. - Create annotated financial models that demonstrate analytical logic. - Structure data extraction and analysis tasks from public company materials. - Evaluate AI-generated outputs for accuracy and professional quality. - Minimum 30+ hours per week. - Remote, asynchronous contract. - Contribute to a research initiative with a leading foundational AI lab; help enhance AI capabilities in corporate finance modelling. Key Responsibilities - Design and review challenging finance scenarios and prompts to advance AI reasoning. - Build, adapt, and annotate financial models to highlight key logic and decision-making. - Review and validate assigned tasks with a high level of accuracy. - Maintain well-organised documentation and uphold internal standards. Benefits - Contribute to the direction of AI in finance. - Gain firsthand exposure to how AI models are trained and developed. - Build specialised expertise at the intersection of finance and AI. - Competitive pay. Residency Structure - Commitment: Minimum 30+ hours/week, flexible scheduling. - Location: Bangalore-based, fully remote and asynchronous. - Compensation: Competitive hourly rate, commensurate with experience. - Start date: Immediate / Rolling. - Referral bonus for any successful referral hired into this role.
Role Description The problem we're solving is that frontier AI models have made remarkable progress on general reasoning, but they still struggle with nuanced judgment in banking work. Closing this gap requires institutional finance expertise applied directly to AI training. In this role, you'll work directly on improving how frontier AI handles corporate finance and gain rare, early exposure to how AI labs develop their models. - Develop realistic, deal-relevant prompts: Iterate on AI outputs to test reasoning quality. - Compare human vs. machine judgment: Systematically map where AI reasoning falls short of professional banker judgment. - Design frameworks: Translate how bankers navigate ambiguity, structure transactions, and stress-test assumptions into problems that challenge frontier AI. - Construct expert benchmarks: Build and validate real-world DCFs, LBOs, comps, and deal cases used to evaluate AI systems. Qualifications - 3–4+ years of IB or Corporate Finance experience at a top international bank (bulge bracket, elite boutique, top-tier global advisory). - Associate level; sector agnostic. - Strong modelling and valuation skills (DCF, LBO, comps, precedents). - Sharp written communication and attention to detail. - Genuine intellectual curiosity about AI in finance. Requirements - Commitment: 30+ hours/week, flexible scheduling. - Location: Bangalore-based, fully remote. - Compensation: Competitive hourly rate, commensurate with experience. - Start date: Immediate / Rolling. - Referral bonus: For any successful referral hired into this role. Benefits - You'll be among the first investment bankers in India working directly on frontier AI in finance. - The skills and exposure compound - buy-side, strategy, and corporate roles increasingly want people who understand how AI fits into financial workflows. - The work is genuinely interesting, which is rare for a side engagement.
Aptura AI is recruiting U.S.-based Primary Care Physicians to join an upcoming AI project launching in two weeks. This is an opportunity for U.S.-licensed clinicians who want to help shape how AI understands and supports real-world clinical reasoning, patient interactions, and healthcare delivery. As part of our expert network, you'll be matched to one of several AI initiatives based on your experience, subspecialty interests, and clinical background. You'll work alongside AI researchers to review, label, evaluate, and refine AI systems designed to support healthcare professionals and improve patient outcomes. The role is fully remote and flexible — well suited to physicians balancing clinical, academic, or research commitments. About Aptura AI At Aptura AI, we're building the next generation of clinically grounded AI. We partner directly with physicians to ensure these systems are safe, accurate, and aligned with real-world clinical reasoning. As a clinical expert in our network, you'll have hands-on exposure to frontier AI model development, collaborating with leading researchers and medical professionals on projects that will directly influence healthcare technology and practice. Project Overview Our upcoming project launches in mid-April, with onboarding open now. You'll apply your clinical expertise to help build a high-quality clinical evaluation benchmark. The work spans synthetic patient persona validation, transcript realism and voice adherence review, medical rubric development, and LLM response evaluation. All tasks are completed asynchronously through a dedicated labeling platform, using your independent clinical judgment. Requirements - MD licensed in the United States with an active state medical license - U.S. Board Certified - Strong familiarity with primary care or internal medicine workflows, documentation, and terminology - Excellent analytical, written, and clinical summarization skills - Native or near-native English proficiency - Strong attention to detail and a commitment to clinical accuracy - Comfortable working independently and asynchronously in a distributed team - Minimum commitment of 10 hours per week What We Offer - Flexible scheduling that fits around clinical or academic commitments - Fully remote participation from anywhere in the U.S. - Competitive compensation, paid weekly - The chance to work alongside fellow U.S. physicians and global AI researchers - A direct role in shaping how AI is safely integrated into real-world care
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