Freelance Quantum Research Scientist with Python Expertise

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All engagements are temporary and do not establish a permanent employment relationship. Role overview This freelance, remote position is available to candidates based in New York, United States. Each project introduces a new set of challenges related to computational physics and quantum research. Contributors may work on tasks such as: Designing original computational physics problems that reflect real research workflows Creating problems requiring Python programming solutions, often with Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and not solvable manually in a short time Developing scenarios involving mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on genuine research challenges or practical physics applications Validating solutions in Python using standard physics simulation libraries Documenting problem statements clearly and providing verified correct answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is valued At least 2 years of professional experience in applied, research, or teaching settings Background in numerical simulation methods Experience designing problems that mirror real research workflows Creative approach to problem design across multiple physics domains Understanding of modeling and approximation techniques in physics Strong written English at C1 level or higher Application process Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload varies according to project needs, and hours are not guaranteed outside of active assignments. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Rates differ by project based on scope, complexity, and required skills. Other projects on the platform may offer different pay levels depending on their requirements.

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.

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. 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.

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.

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.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based contract with toloka-ai (via Mindrift) offers physicists the chance to shape and evaluate AI systems for leading technology companies. The work centers on testing, improving, and designing computational challenges that reflect real research in physics. This is not a permanent employment offer. Key Responsibilities Design computational physics problems that align with real research workflows. Create programming challenges requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and cannot be solved manually within a reasonable time. Craft advanced scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on genuine research issues or practical physics applications. Validate solutions using Python and standard simulation tools. Document each problem clearly and provide verified answers. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is a plus. At least 2 years of applied research or teaching experience. Background in numerical simulation methods. Ability to design problems that mirror authentic research workflows in physics. Creative problem-solving skills across diverse physics topics. Knowledge of modeling and approximation techniques. Strong written English skills (C1 level or higher). Project Process Steps include: Application, Qualification Process, Project Participation, Task Completion, and Payment. Time Commitment Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary with project needs. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Compensation varies by project scope and complexity. Other projects on the platform may offer different earning levels based on requirements.

Join Integrated Resources Inc. as a Research Scientist I, where you will contribute to groundbreaking scientific discoveries and innovative solutions. This role offers a fantastic opportunity for recent graduates or early-career professionals looking to expand their expertise in a collaborative and dynamic environment.

Join Integrated Resources, Inc. as a Research Scientist, where you will play a crucial role in advancing scientific knowledge and innovation. You will engage in cutting-edge research projects, collaborate with interdisciplinary teams, and contribute to the development of impactful solutions in various scientific fields. Your expertise will help us drive our mission of delivering high-quality research that enhances lives.

Join our dynamic team at Anthropic as a Research Engineer or Research Scientist specializing in Tokens. In this role, you will engage in groundbreaking research and development, contributing to the advancement of our token systems and enhancing their capabilities. Your work will be pivotal in shaping the future of our technology and driving innovation in our projects.

Please submit your CV in English and indicate your English proficiency level. toloka-ai partners with Mindrift to offer freelance, project-based work focused on advancing AI systems for major technology companies. This contract role centers on testing, evaluating, and improving AI models. Engagement is on a per-project basis and does not constitute permanent employment. Role overview This position calls for an optical engineer with strong Python skills to create and validate computational physics problems. The work involves designing programming challenges that reflect real research scenarios, particularly in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Each problem should require significant computational effort, often taking days or weeks to solve by hand. Solutions are verified using Python and standard physics simulation libraries. Key responsibilities Design original computational physics problems based on real-world research workflows. Create programming challenges using Python, with libraries such as Numpy, SciPy, or Sympy. Ensure problems are computationally intensive and require advanced reasoning. Develop scenarios across multiple physics domains, drawing from authentic research or practical applications. Validate solutions in Python using standard simulation tools. Document clear problem statements and provide verified solutions. Requirements Background in optical engineering with experience in Python programming. Degree in Physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus. Minimum of 2 years' professional experience in applied research, teaching, or related fields. Experience with numerical simulation methods and physics modeling techniques. Ability to design problems that reflect real research workflows in physics. Creative problem-solving skills across various physics areas. Strong written English skills at C1 level or higher. Application process Candidates will need to pass required qualifications, join a project, complete assigned tasks, and will be compensated upon completion. Time commitment During active project phases, expect to commit approximately 10–20 hours per week. Workload may vary depending on project needs. Compensation Earn up to $76 per hour, based on expertise and contribution speed. Actual compensation depends on project scope, complexity, and required skills. Other projects on the platform may offer different earning rates. Location: Remote , New York, United States

The City of New York seeks a City Research Scientist to assist with research projects that inform public policy and improve city services. This position plays a part in supporting data-driven work across several municipal departments. Role overview This role focuses on conducting research and analysis that helps guide decisions within city agencies. The work directly impacts how policies are developed and how services are delivered to residents. Key responsibilities Support research projects for city departments Contribute to data analysis that shapes public policy Help strengthen city services through evidence-based recommendations Location This position is based in New York City.

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.

Join Integrated Resources, Inc. as a Research Scientist I, where your innovative ideas and passion for research will contribute to groundbreaking advancements in the scientific field. You will have the opportunity to collaborate with a dynamic team and engage in exciting projects that push the boundaries of knowledge.

Who We AreAt Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit for swift deployment of agentic workflows.Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.About the RoleAs a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.ResponsibilitiesEstablish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.You May Be a Great Fit If YouHold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.Have demonstrated experience in optimization and machine learning.Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

Join our dynamic team at abridge as a Research Scientist specializing in Measurement and Evaluation. In this pivotal role, you will be responsible for designing and conducting research studies that assess the effectiveness of our healthcare solutions. You will leverage your expertise to analyze data, interpret findings, and contribute to the advancement of our mission to improve patient outcomes through innovative solutions.

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.

About the RoleJoin our innovative tech team at Linkup as a distinguished Research Scientist. We are on a mission to revolutionize the capabilities of AI agents and we want you to be a key player in this endeavor.In this role, you will:Spearhead research initiatives that shape the future of Linkup.Develop and deploy cutting-edge retrieval and ranking systems designed for AI agents.Prototype, train, and assess novel models aimed at enhancing factual search and multimodal comprehension.Establish robust research pipelines and manage experiments from inception to execution.Exhibit mastery over your technical area and elevate scientific and engineering standards.Collaborate on strategic research roadmaps and influence key modeling and evaluation choices.Lead significant cross-functional projects from exploration through to production.Work independently while closely collaborating with the CTO and the Software & ML teams.Foster a vibrant research culture through diligent experiment tracking, peer reviews, and knowledge sharing.

Bravos Research stands at the forefront of investment research and financial media, specializing in video-first content. Our mission is to empower investors with insightful, data-driven research to navigate the complexities of global markets.As the proud creator of the largest investment research channel on YouTube, we have amassed over 75 million views and a substantial subscriber base for our premium research services.We are on the lookout for a Senior Research Analyst who can merge institutional-level macroeconomic insights with captivating storytelling. In this role, you will transform intricate economic data into engaging narratives and manage the end-to-end research and scriptwriting process for our animated videos, focusing on US and global macro trends, liquidity, credit markets, commodities, and cryptocurrencies.Key Responsibilities:Produce high-conviction insights regarding global business cycles, equity markets, central bank policies, and asset allocation strategies.Craft compelling, thoroughly sourced scripts that simplify complex economic concepts for a broad audience without compromising depth.Collaborate with team members to establish the firm's investment strategy and overarching perspectives.