Quantum Research Scientist Specializing in Python - Freelance AI Trainer

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, aiming to enhance the testing, evaluation, and advancement of AI systems. Please note that this is a project-based engagement, not a permanent role.Overview of the RoleWh…

We invite you to submit your CV in English, highlighting your proficiency level in the language.Mindrift serves as a bridge connecting talented professionals with project-based AI opportunities at leading technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based and not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may engage in the following tasks:Designing innovative material engineering problems that replicate authentic engineering workflows;Formulating problems necessitating Python programming for engineering calculations and simulations;Creating computationally intensive problems that demand numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is also acceptable;At least 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1 level or higher).Project Engagement ProcessTo get started: Apply → Pass qualification(s) → Join a project → Complete assigned tasks → Receive payment.Project Time CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $76 per hour, varying based on experience and contribution pace. Note that compensation may differ across projects based on their specific requirements.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for leading technology companies. This freelance, project-based role does not offer permanent employment. Role overview This freelance AI Trainer position is open to candidates based in New York or elsewhere in the United States. Projects focus on materials science and Python programming, with each assignment presenting new technical challenges. The work is fully remote. What you will do Design materials engineering problems that reflect real-world engineering workflows. Create tasks involving Python programming for calculations and simulations. Develop problems that require computationally intensive approaches, such as numerical methods or iterative solutions. Build scenarios related to system design, optimization, and analysis. Base problems on authentic research challenges or practical engineering applications. Validate solutions in Python, using established engineering libraries. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus. Minimum 2 years of professional experience (applied, research, or teaching). Strong understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. Project workflow Application → Qualification(s) → Project Engagement → Task Completion → Payment Time commitment Expect to dedicate roughly 10–20 hours per week during active project periods. Workload may vary depending on project needs and is not guaranteed. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Pay may differ by project, reflecting scope, complexity, and required skills.

We invite you to submit your CV in English, along with your level of English proficiency.At Mindrift, we connect talented specialists with dynamic, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Role Overview:Each project will present unique challenges, but typical responsibilities may include:Crafting original computational physics problems that replicate authentic physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually resolved within a reasonable timeframe (spanning days or weeks);Creating problems that require sophisticated reasoning in areas of mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on genuine research obstacles or practical applications from the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing confirmed correct answers.Desired Qualifications:This opportunity is ideal for physicists with Python experience seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages considered equivalent;At least 2 years of relevant professional experience, including applied research or educational roles;Expertise in numerical simulation methodologies;Capability to design problems that reflect authentic physics research workflows;Innovative thinking in problem creation across various physics domains;Familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1 or higher).Application Process:To apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project Time Commitment:The anticipated workload for this project is approximately 10–20 hours weekly during active phases, contingent upon project requirements. Please note that this is an estimate and not a guaranteed workload.Compensation:Contributors have the potential to earn up to $76 per hour, based on their expertise and contribution pace. Compensation may vary by project, depending on scope, complexity, and required skills. Please be aware that other projects on the platform may have different compensation structures based on their specific needs.

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

Mindrift connects experienced professionals with project-based roles in artificial intelligence, focusing on testing and improving AI systems for leading technology companies. This is a freelance, non-permanent position based remotely in New York, United States. Role overview As an Expert in Chemistry & Python, freelance AI trainers at Mindrift design and validate computational chemistry challenges. These projects require contributors to: Create advanced computational chemistry problems that reflect real research workflows Develop scenarios requiring Python programming to solve, using libraries such as numpy, scipy, and chemistry-specific packages Ensure that problems are computationally intensive and not feasible to solve manually within days or weeks Incorporate complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Base tasks on real-world research challenges or practical applications in chemistry Validate solutions with Python, following standard computational chemistry methods Document challenges clearly and provide accurate, verified answers Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied chemistry, research, or teaching Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or above) Process The typical process includes: apply, meet qualifications, join a project, complete assigned tasks, and receive payment. Time commitment Project work generally requires about 10–20 hours per week during active phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and pace. Compensation may differ between projects based on their scope, complexity, and required skills. Application note: Please submit your CV in English and include your level of English proficiency.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities at leading tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. Note: Participation is on a project basis rather than permanent employment.About the RoleEach project presents distinct challenges, and contributors may be tasked to:Develop innovative computational physics problems that reflect authentic physics research workflows;Craft problems necessitating Python programming solutions (utilizing Numpy, SciPy, Sympy);Ensure the problems are computationally demanding, requiring extensive timeframes to solve (days or weeks);Formulate problems requiring complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research dilemmas or practical scenarios from the field of physics;Verify solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified correct answers.QualificationsThis opportunity is ideal for optical engineers with Python expertise who are open to part-time, non-permanent projects. We are looking for contributors who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of other programming languages is acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that replicate authentic physics research workflows;Creative approaches to problem design across various physics domains;Understanding of physics modeling and approximation methods;Strong command of written English (C1+ level).How It WorksApplication → Qualification(s) → Project Participation → Task Completion → PaymentProject Time ExpectationsFor this project, tasks are projected to require around 10–20 hours per week during active phases, depending on project needs. This is an estimate, not a guaranteed workload, and applies only while the project is active.CompensationContributors can earn up to $76 per hour, depending on their level and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that other projects on the platform may offer different earning potentials based on their respective requirements.

Toloka AI seeks a freelance Civil Engineer & Python Specialist to help train AI applications. This remote contract role is open to candidates based in New York, United States. The position brings together civil engineering expertise with practical Python programming to support Toloka AI’s projects. Key responsibilities Use civil engineering knowledge and Python skills to develop and improve AI solutions. Create educational materials that assist with AI training and development. Lead or join training sessions on engineering and programming topics. Collaborate with the Toloka AI team to enhance AI model performance. Requirements Strong foundation in civil engineering concepts and practices. Proficient Python programming skills. Experience with AI application development or training is a plus. Clear communication skills, both in writing and in training settings. Ability to work independently as a freelancer and coordinate with a distributed team.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research. Our mission is twofold: to deepen our understanding of intelligence and to empower society in solving complex, challenging problems.Our first objective is to comprehend and construct intelligence. This involves establishing foundational mathematical principles for reasoning, learning, decision-making, comprehension, and explanation, while also developing software that embodies these principles.Secondly, we aim to enhance society’s capability to tackle intractable issues. This includes broadening the scope and complexity of problems we can address today and accelerating our future problem-solving abilities.To accomplish these objectives, we are creating a technological infrastructure inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to unravel the conceptual, mathematical, and computational foundations of intelligence. We seek individuals with exceptional technical skills who are eager to explore foundational concepts. Our research scientists and engineers are committed to conducting rigorous, high-quality scientific investigations, while also embracing the opportunity to experiment, learn from errors, and explore innovative ideas.Collaboration is integral to our work, both internally and with external partners. We are searching for individuals who thrive in team settings, tackling challenges that transcend individual capabilities.Key Expectations:Proven ability to conduct high-quality scientific research, demonstrated through publications, technical reports, or software projects.Preferred Qualifications:PhD or equivalent experience in relevant fields such as statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics.Enthusiasm for addressing real-world challenges and contributing to positive societal change.ResponsibilitiesDevelop and investigate computational theories of intelligence, encompassing reasoning, learning, and decision-making.Collaborate closely with domain experts, both within Basis and externally, to contribute to solving scientific problems.

About BasisBasis is a nonprofit organization dedicated to applied artificial intelligence research. Our mission is twofold: to understand and build intelligence and to advance society’s problem-solving capabilities. We strive to unravel the mathematical principles behind reasoning, learning, decision-making, understanding, and explanation, while also developing software that embodies these principles.Our commitment extends to enhancing our ability to tackle complex issues that are beyond today's capabilities and accelerating our potential to address future challenges. We are creating a technological framework inspired by human reasoning, alongside fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to deepen our understanding of the conceptual, mathematical, and computational principles of intelligence. We seek individuals who excel technically and are passionate about exploring foundational concepts. Our research team values rigorous, high-quality scientific endeavors while encouraging experimentation and exploration of innovative ideas.Basis thrives on collaboration, both internally and with external partners. We are looking for team players who enjoy tackling significant problems that require collective effort.Research FocusDespite the growing acknowledgment that acquiring and understanding world models is crucial for intelligence, current AI systems face challenges in mirroring this human capability. Key uncertainties remain regarding the essence of a world model, methods for reliably detecting its presence in agents, and approaches to develop agents capable of learning these models effectively.Our research, particularly within the MARA project, seeks to establish new foundations and technologies for modeling, abstraction, and reasoning in AI systems. MARA's goal is to identify principled methods for how intelligence constructs, refines, and employs world models through interactive experimentation. Achieving this will require advancements in knowledge representation, abstraction, reasoning, active learning, and reinforcement learning, necessitating a first-principles reevaluation of world modeling.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.Role Overview:Each project presents distinct tasks, and contributors may:Innovate original computational physics problems that replicate actual physics research processes;Develop problems necessitating Python programming to resolve (utilizing Numpy, SciPy, SymPy);Ensure the problems are computationally demanding and require more than reasonable timeframes (days/weeks) for manual solutions;Create challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research obstacles or real-world applications from physics;Validate solutions through Python using recognized physics simulation libraries;Document problem statements with clarity and provide verified accurate solutions.Candidate Profile:This opportunity is ideal for physicists with Python expertise who are interested in part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;An ability to create problems that reflect authentic physics research workflows;Creative problem-design skills across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1+ level).Process Overview:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Expected Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and does not guarantee workload.Compensation:Participants can earn up to $76 per hour, based on their level of expertise and contribution pace. Compensation varies by project, depending on scope, complexity, and required qualifications. Note that other projects may offer different compensation rates based on their specific requirements.

Please submit your CV in English and specify your English proficiency level.Mindrift acts as a bridge connecting skilled professionals with project-based AI opportunities from top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Role Overview:This role encompasses a variety of unique tasks per project, including:Crafting original computational engineering challenges that mirror actual engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally demanding and involve numerical methods or iterative solutions;Designing problems related to system design, optimization, and analysis;Creating scenarios inspired by genuine research challenges or practical applications from the engineering field;Verifying solutions using Python and standard engineering libraries;Clearly documenting problem statements and providing accurate verified solutions.Ideal Candidate:This opportunity is suited for engineers with Python expertise who are open to part-time, non-permanent projects. Candidates should have:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language is acceptable;At least 2 years of professional experience, encompassing applied, research, or teaching roles;A strong understanding of practical engineering constraints and approximations;Excellent written English proficiency (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process:Application → Qualification → Project Engagement → Task Completion → CompensationProject Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $69 per hour, varying based on their experience and contribution pace. Compensation levels may differ across projects based on complexity and required expertise.

Kindly submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Project OverviewEach project presents unique challenges, where contributors might be involved in:Creating original computational engineering problems that mimic real-world engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Grounding problems on practical research challenges or real-world engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis position is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;At least 2 years of professional experience, whether in applied, research, or teaching contexts;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project demands. This estimate is not a guaranteed workload and applies only while the project is active.CompensationContributors can earn up to $69 per hour, contingent on their experience and contribution pace. Compensation varies by project based on its scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels according to their specific requirements.

About BasisBasis is a nonprofit organization dedicated to applied AI research, striving to achieve two interconnected objectives.Firstly, we aim to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation; along with creating software that embodies these principles.Secondly, we seek to enhance society's capacity to address complex challenges. This means broadening the range, scale, and intricacies of the problems we can tackle today, while also accelerating our ability to solve future challenges.To fulfill these missions, we are constructing a novel technological framework inspired by human reasoning, and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis's initiatives to deepen our comprehension of the theoretical, mathematical, and computational aspects of intelligence.We seek individuals with exceptional technical skills who are passionate about exploring concepts at their core. Our research scientists and engineers are committed to conducting rigorous, high-quality, and robust scientific inquiry, yet they embrace experimentation, learning from mistakes, and exploring innovative ideas to achieve their goals.Basis thrives on collaboration, both internally and with external partners; thus, we value team players who relish tackling challenges that surpass individual capabilities.Research FocusOur research under the MARA project is dedicated to forging new principles and technologies for modeling, abstraction, and reasoning in AI systems. The primary aim of MARA is to reveal principled methodologies for how intelligence constructs, refines, and applies world models through interactive experimentation.For this position, we specifically seek experts in Reinforcement Learning & Planning who can push the boundaries of model-based RL, exploration strategies, optimal control, and Bayesian optimization. You will develop agents capable of learning efficient policies in intricate, partially observable environments by utilizing structured world models.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by a dual mission.Firstly, we aim to deepen our understanding and development of intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation, along with creating software that embodies these principles.Secondly, we strive to enhance society’s capacity to tackle complex challenges. This means broadening the scale and complexity of the problems we can address today, while also accelerating our future problem-solving capabilities.To realize these aims, we are constructing an innovative technological framework inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist at Basis, you will play a crucial role in advancing our understanding of the theoretical, mathematical, and computational principles underlying intelligence.Our Research Scientists possess key characteristics:Outstanding technical expertise—strong mathematical and computational foundations.A creative builder’s mindset—capable of designing, constructing, and refining complex systems based on foundational principles.Commitment to scientific rigor—engaging in high-quality, robust scientific inquiry without hesitance to experiment, learn from mistakes, and explore unconventional ideas.At Basis, collaboration is key, both within our teams and with external partners. We seek individuals who thrive in collaborative environments and are eager to tackle challenges that transcend individual capabilities.Programming Languages Research ScientistsThis role is tailored for experts in the design, implementation, and analysis of programming languages. You will assist in the design and implementation of the foundational computational reasoning systems under development at Basis.Key focus areas of programming languages research include compiler design, partial evaluation, program analysis, abstract interpretation, and program transformation. This work is conducted within the context of constructing reasoning systems, leading to engagement with topics such as probabilistic programming, automatic differentiation, and SAT/SMT solvers.Expectations:Possess a PhD (or equivalent experience) in a relevant field.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, pursuing two interconnected goals.Our primary objective is to understand and create intelligence. This involves formulating the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation, while developing software that embodies these concepts.The second goal is to enhance society’s capacity to solve complex challenges. We aim to broaden the scope, intricacy, and variety of challenges we can address today, and crucially, to expedite our ability to tackle future problems.To realize these objectives, we are constructing an innovative technological base inspired by human reasoning, and fostering a collaborative organizational culture that prioritizes human values.About the RoleAs a Research Scientist on the MARA (Modeling, Abstraction, and Reasoning Agents) initiative, you will be instrumental in developing computational theories of scientific reasoning in the realms of robotics and embodied intelligence. Your work will push the boundaries of world modeling, reinforcement learning, program synthesis, and robotic control, enabling systems to learn, reason about, and engage with the physical world.We are seeking outstanding researchers with a strong background in Program Synthesis & Neuro-symbolic Methods. The ideal applicant will have a robust publication record in esteemed venues, blending theoretical expertise with practical implementation skills, and a passion for building systems that emulate scientific learning—hypothesizing, experimenting, and modeling the workings of the world.In this role, you will collaborate with an interdisciplinary team to address fundamental inquiries: How can agents learn causal models through interaction? How do we connect high-level reasoning with low-level control? How can we produce interpretable, verifiable control programs instead of opaque policies?At Basis, we value collaboration, both within our team and with external partners; we seek individuals who thrive in teamwork on significant challenges that require collective effort.

Join our innovative AI Research team at Datadog as an AI Research Scientist. Collaborate with talented research engineers and work closely with our Product and Engineering teams to transform cutting-edge research into valuable solutions for our customers.At Datadog AI Research, we are proud of our successful AI-driven solutions, including Bits AI, Watchdog, and Toto. Our focus is on tackling high-stakes, ambitious projects that address real-world challenges in cloud observability and security.We are currently concentrating on three pivotal research areas:Observability Foundation Models – Developing advanced models for forecasting, anomaly detection, and comprehensive telemetry analysis across logs, metrics, and traces. These models will empower our agents to analyze telemetry data effectively.

toloka-ai is hiring a Freelance Junior Journalist to join its AI training projects. This remote role is based in New York, New York, and focuses on producing and selecting content that supports the development of AI systems. Key responsibilities Write and edit material used to train machine learning models Curate quality content that improves how AI systems understand and perform tasks Help refine AI technology through your writing contributions Location details This position is fully remote, with a base in New York, New York, United States.

About Ataraxis AIAtaraxis AI is at the cutting edge of AI-driven precision medicine, specializing in the integration of multi-modal artificial intelligence with oncology. Our innovative AI-native tools are designed to empower physicians in choosing the ideal treatment pathways for their patients.We are on a mission to revolutionize cancer care, aiming to transform the treatment landscape for at least 50% of new cancer patients by 2030. Our pioneering test for breast cancer, developed through a validation study involving over 8,000 patients from 15 leading institutions worldwide, enhances the accuracy of standard tests by 30%, facilitating an annual testing capacity for 100,000 new patients. Joining Ataraxis means you will have a unique opportunity to influence not just our company's direction, but also the future of healthcare.Ataraxis boasts a dynamic team of experts at the forefront of AI research and its application in healthcare. Our lab merges the expertise of top AI researchers, medical professionals, and industry veterans, including renowned AI figures like Yann LeCun and distinguished oncologists from premier cancer research centers, all committed to reshaping precision medicine.We have successfully secured $24 million in funding, highlighted by a $20.4 million Series A round led by prestigious venture capital firms such as AIX Ventures (Hugging Face, Perplexity), Thiel Capital, Founders Fund (OpenAI, SpaceX, Palantir, Oscar Health), and Obvious Ventures (Recursion). Our journey has been featured in a notable TechCrunch article, "Not all cancer patients need chemo."As an AI-native organization, we embrace a flat structure that empowers every team member to contribute proactively. Leadership is granted based on initiative and consistent outstanding performance, with a strong work ethic and the ability to prioritize effectively being crucial.

Jump Trading Group is at the forefront of world-class research, empowering talented individuals in Mathematics, Physics, and Computer Science to explore scientific boundaries and apply innovative research to the global financial markets. Our unique culture thrives on constant innovation, which requires creativity, intellectual honesty, and a relentless competitive spirit. We believe in collaborative success, unlocking individual talents through mutual respect and teamwork. At Jump, our research not only drives superior risk-adjusted returns but also leads to the development of transformative technologies that impact the world, funding startups across various industries, and partnering with premier research organizations and universities to tackle complex challenges.Our AI team serves as a pivotal research and development hub, consisting of quantitative researchers, engineers, and machine learning experts dedicated to advancing large language model (LLM) research and its applications. Our mission is to merge cutting-edge techniques with original research to derive actionable insights from unstructured data.