Senior Scientist, Quantum Sensing (Atom Interferometry)

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects experienced specialists to project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All positions are freelance and do not offer permanent employment. Role overview This freelance role is designed for quantum research scientists with strong Python skills who want flexible, part-time work. Project tasks vary but often include creating and validating computational physics problems that reflect real research scenarios. Design original computational physics problems based on actual research workflows Develop problems requiring Python solutions, using libraries such as Numpy, SciPy, and Sympy Create computationally intensive problems that cannot be solved manually within a reasonable time Formulate problems involving complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on real research challenges or practical applications in physics Validate solutions in Python with standard physics simulation libraries Document problem statements clearly and provide accurate, verified answers Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is valued At least 2 years of professional experience in applied research, teaching, or similar roles Background in numerical simulation techniques Ability to design problems that mirror real physics research workflows Creative approach to problem-solving across multiple physics domains Knowledge of physics modeling and approximation methods Strong written English skills at C1 level or above How to apply Submit your application Complete the required qualifications Join a project Finish assigned tasks Receive payment Time commitment Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Earn up to $35 per hour, depending on expertise and pace. Compensation may differ by project based on complexity, scope, and required skills. Location: Remote , Queensland, Australia

Please submit your CV in English and indicate your level of English proficiency. Mindrift partners with skilled professionals for project-based AI work serving leading technology companies. This freelance contract centers on evaluating and improving AI systems within engineering environments. The position is contract-only and does not transition to permanent employment. Role overview This freelance Material Scientist with Python expertise will design original materials that reflect real-world engineering processes and challenges. Assignments focus on engineering scenarios, research questions, and practical problem-solving using computational tools. What you will do Create problems that require Python programming for engineering calculations or simulations. Develop computationally intensive challenges using numerical methods or iterative solutions. Formulate tasks involving system design, optimization, and analysis. Ensure assignments are grounded in genuine research or practical engineering situations. Validate solutions using Python and standard engineering libraries. Write clear, precise problem statements and provide accurate, verified solutions. Requirements Background as a material scientist or engineer with strong Python skills. Degree in Material Science or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. Minimum of 2 years of professional experience in industry, research, or teaching. Solid understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. How to join Apply Meet the qualifications Join a project Complete assigned tasks Receive compensation Project commitment During active project phases, expect to spend 10-20 hours per week on assigned tasks. Workload may vary and is not guaranteed outside of active project periods. Compensation Earn up to $35 per hour, depending on contribution and pace. Actual rates may differ by project, based on complexity, scope, and expertise required. Other projects on the platform may offer different compensation structures.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals to project-based AI work with leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. This is a contract role, not a permanent position. Role overview This freelance AI Trainer position is designed for research physicists with strong Python skills. Contributors create and validate advanced computational physics problems that help refine AI capabilities. All work is remote and project-based, with assignments varying by project. What you will do Design original computational physics problems that reflect real research workflows. Create challenges that require Python programming to solve, using libraries like Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and not solvable manually in a reasonable timeframe. Develop problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, or quantum mechanics. Base challenges on authentic research questions or practical applications in physics. Validate solutions using Python and standard physics simulation libraries. Document clear problem statements and provide verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is a plus. At least 2 years of professional experience in applied physics, research, or teaching. Expertise in numerical simulation techniques. Ability to design problems that reflect real research workflows in physics. Creative problem-solving across multiple physics domains. Familiarity with physics modeling and approximation methods. Strong written English at C1 level or above. Application steps Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual hours may vary depending on project needs. There is no guaranteed minimum workload. Compensation Contributors can earn up to $35 per hour, depending on contribution level and speed. Rates may differ between projects based on scope, complexity, and required expertise. Other Mindrift projects may offer different compensation levels. Location: Remote , Queensland, Australia

Pluralis Research is at the forefront of Protocol Learning—an innovative and decentralized approach to training and deploying AI models, empowering individuals rather than just the well-resourced corporations. By aggregating computing resources from numerous contributors, incentivizing participation, and ensuring no single entity controls the entirety of a model's weights, we are forging a genuinely collaborative pathway to advanced AI. If you are eager to contribute to the future of open innovation in artificial intelligence, we invite you to join our team.Key ResponsibilitiesEngage in pioneering research in Protocol Learning during your PhD. This 6-month internship emphasizes research publication.This fixed-term role provides a platform to co-author significant papers in a burgeoning field, with access to substantial computing resources and dedicated mentorship from experienced scientists.Publication-Driven Research: Conduct innovative research within Protocol Learning, aiming for publication in prestigious ML conferences such as NeurIPS, ICML, and ICLR.

Pluralis Research is pioneering advancements in Protocol Learning, focusing on training sophisticated models in a completely decentralized manner using small consumer-grade devices interconnected via the internet. Despite initial skepticism regarding its feasibility, our team has achieved remarkable progress, including the successful training of an 8B llama model from the ground up with devices located in diverse geographical areas. While we have addressed many core research challenges, the journey into Protocol Learning reveals a plethora of new opportunities for innovation. If you are passionate about influencing the trajectory of open innovation in the realm of large models, we invite you to be a part of our team.

Pluralis Research is at the forefront of Protocol Learning, pioneering the training of large models in a fully decentralized manner on consumer-grade devices linked through the internet. What was once deemed impractical has been transformed into reality; we have achieved remarkable milestones, including the successful training of an 8B llama model from scratch using devices located in geographically diverse areas. Although many fundamental research challenges have been addressed, Protocol Learning presents a host of new opportunities for innovation. If you are eager to contribute to the evolution of open innovation within the realm of large models, we invite you to join our dynamic team.Key ResponsibilitiesPublish in Top-Tier Venues: Engage with complex research challenges central to Protocol Learning. Your solutions could lead to foundational papers—solve these issues and share your findings with the world.What We're Looking ForResearch Excellence: A PhD in Machine Learning complemented by publications in leading conferences (NeurIPS, ICML, ICLR).Distributed ML Experience: Familiarity with distributed training techniques or federated learning.Implementation Skills: Proficient in programming with PyTorch, with hands-on experience in training models across multiple devices.Bonus: Previous experience with large language models, post-training techniques, or reinforcement learning.Compensation & BenefitsEquity-Heavy Package: We offer substantial equity for key technical contributors alongside a competitive base salary.Visa Sponsorship: Optional full visa sponsorship and relocation assistance available for positions in the US or Australia.Remote-First Culture: Enjoy a flexible working environment with team members located globally.Cutting-Edge Domain: Be part of an innovative intersection between AI and distributed systems, tackling some of the most complex research challenges in the field.Additional InformationWe exclusively hire within Australia and the United States. Visa sponsorship is limited to these regions.Applicants are required to have a professional level of English proficiency.

Join Griffith University as a Research Fellow specializing in Quantum Foundations. This role offers an exciting opportunity to contribute to cutting-edge research within the School of Environment and Science, focusing on the foundational aspects of quantum mechanics and its implications for science and technology.

Please submit your CV in English and include a self-assessment of your English proficiency. Mindrift, in partnership with toloka-ai, offers freelance, project-based work for experienced data scientists. This role supports technology companies as they test, evaluate, and improve AI systems. Engagements are project-specific and do not represent permanent employment. Key responsibilities Create original data science challenges that mirror real-world analytical workflows in sectors like telecommunications, finance, government, e-commerce, and healthcare. Develop problems requiring advanced Python programming with libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Design computationally intensive tasks that cannot be solved manually within a reasonable timeframe. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and deriving actionable insights. Ensure all problems are deterministic and reproducible by avoiding stochastic elements or by setting fixed random seeds. Base challenges on real business use cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Develop end-to-end problems that span the full data science pipeline: data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Include big data processing scenarios that need scalable computational approaches. Validate solutions in Python using standard data science libraries and statistical methods. Document each problem with a clear business context and provide verified correct answers. Location This is a remote freelance role based in Queensland, Australia.

Please submit your CV in English and highlight your English proficiency. Mindrift connects specialists with project-based AI work for leading technology companies. Most assignments involve testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent role. Role overview As an Optical Engineer with Python expertise, work on designing and validating advanced computational physics problems. These problems are used to simulate research workflows and assess AI performance in physics-related areas. What you will do Design computational physics problems that reflect real research scenarios. Create Python-based problems using libraries such as Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and not solvable manually within days or weeks. Build scenarios requiring complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on actual research challenges or practical applications from the field. Validate solutions using Python and standard physics simulation libraries. Document problem statements clearly and provide accurate, verified solutions. 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, SciPy, or similar libraries is beneficial. At least 2 years of professional experience in applied research or teaching. Background in numerical simulation methods. Ability to design problems that reflect real-world research processes in physics. Creative problem-solving skills across several physics domains. Familiarity with physics modeling and approximation techniques. Strong written English skills at C1 level or higher. Project process Application Qualification assessment Project participation Task completion Compensation Time commitment Tasks usually require about 10–20 hours per week during active project phases. Workload may vary depending on project needs and is not guaranteed. Compensation Earn up to $45 per hour, depending on expertise and contribution. Compensation may differ by project based on scope and complexity. Location This freelance role is remote and open to candidates based in Queensland, Australia.

Please submit your CV in English and specify your English proficiency level. Toloka AI, working with Mindrift, seeks a freelance AI Trainer specializing in physics and Python. This contract role is remote and project-based, supporting the evaluation and development of AI systems for large technology partners. The position is not permanent and is based in Queensland, Australia (remote). What you will do Create original computational physics problems that reflect authentic research workflows. Design tasks requiring Python programming, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally demanding and not solvable manually in a short period. Develop challenges across mechanics, electromagnetism, thermodynamics, and quantum mechanics, focusing on advanced reasoning. Base tasks on real research questions or practical physics applications. Validate solutions using Python and standard simulation libraries. Document problem statements clearly and provide verified solutions. Requirements Degree in physics (theoretical, experimental, or computational) or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is a plus. At least two years in applied, research, or teaching roles. Background in numerical simulation methods. Ability to design problems that mirror real physics research workflows. Creative approach to formulating problems across physics domains. Familiarity with modeling and approximation techniques in physics. Strong written English skills (C1 level or above). Project structure The process includes application, qualification, project engagement, task completion, and then compensation. Time commitment During active project phases, expect to dedicate around 10–20 hours per week. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors may earn up to $35 per hour, depending on contribution level and task completion speed. Rates can vary by project based on complexity and required expertise. Other projects on the platform may offer different compensation structures.

At PsiQuantum, we are on a mission to revolutionize the computing landscape by developing the first practical quantum computers. Our goal is to create million-qubit, fault-tolerant quantum systems that can unlock unprecedented breakthroughs across various sectors.Quantum computing leverages the principles of quantum mechanics to address complex problems that traditional supercomputers and AI systems cannot solve. The implications of this technology extend to critical industries such as energy, pharmaceuticals, finance, agriculture, transportation, and materials.Our innovative architecture utilizes silicon photonics, allowing us to capitalize on advanced semiconductor manufacturing techniques similar to those used in producing billions of chips for telecommunications and consumer electronics. Photonics provides distinct advantages, including immunity to heat and electromagnetic interference, as well as compatibility with existing cryogenic cooling and fiber-optic infrastructures.In 2024, we proudly announced government-backed initiatives aimed at establishing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects signify a growing acknowledgment of quantum computing's strategic importance and economic potential.Additionally, PsiQuantum is committed to developing the software and algorithms that will ensure our quantum systems are commercially viable. Our teams collaborate closely with leading Fortune 500 companies, including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to translate quantum solutions into real-world applications.Quantum computing represents a paradigm shift in technology, enabling us to tackle challenges that were previously insurmountable. The possibilities are vast, and we have a clear roadmap to actualize them.Join us on this groundbreaking journey.

Join Canva as a Senior Research Scientist focused on Audio & Video AI, where you will leverage cutting-edge technologies to enhance our platform's multimedia capabilities. You will be at the forefront of innovation, working collaboratively with a team of talented scientists and engineers to develop AI-driven solutions that improve user experiences. Your expertise in audio and video processing will play a crucial role in shaping the future of design at Canva.

Join findstarfish as a highly skilled Freelance Healthcare Market Researcher to engage in a short-term project focused on extrapulmonary neuroendocrine carcinoma (epNEC). Your mission will be to estimate the first-line (1L) and second-line (2L) treatment-eligible patient population in Australia and South Korea utilizing validated secondary data and advanced epidemiological modeling techniques.Perform comprehensive secondary research to determine the epNEC patient population eligible for treatment in both 1L and 2L contexts.Create a robust data-driven patient funnel model progressing from incidence through to diagnosis and treatment, customized for each target market.Aggregate and triangulate data from diverse sources, including but not limited to Clarivate, SEER, GLOBOCAN, PubMed, and national health agencies.Benchmark estimates against comparable markets to validate findings.

Mindrift brings together skilled professionals and AI-focused projects from leading technology companies. The platform emphasizes collaboration between human expertise and AI, supporting the advancement of Generative AI through global talent. Role overview This part-time, freelance role focuses on data scraping for the Tendem project. The position is fully remote and based in Queensland, Australia. As an AI Pilot, collaboration with Tendem Agents will be central to delivering precise and dependable data extraction and processing. What you will do Manage the entire data extraction process from complex websites, producing structured datasets within deadlines. Work with internal tools such as Apify and OpenRouter, as well as custom workflows, to enhance data collection and validation. Adapt extraction methods to handle dynamic web content and respond to evolving site structures. Conduct validation checks and systematic reviews to ensure high data quality before delivery. Streamline scraping operations for large datasets by batching tasks and monitoring for consistent performance as websites change. Compensation Earnings may reach up to $32 per hour, depending on experience and the pace of contributions. Actual rates can vary with the scope and complexity of assigned projects.

Toloka AI seeks a Mechanical Engineer with strong Python programming skills for a freelance, remote role based in Queensland, Australia. This contract position focuses on training and content development at the intersection of mechanical engineering and artificial intelligence. Responsibilities Design and develop training modules that highlight AI applications in mechanical engineering Create educational materials tailored for engineers, ensuring clarity and engagement Lead training sessions for learners interested in combining AI with mechanical systems Collaborate with the engineering team to maintain the accuracy and relevance of all content Requirements Background in mechanical engineering Strong proficiency in Python Experience with teaching, mentoring, or creating technical educational content Interest in artificial intelligence and its applications within engineering Location This freelance position is remote and open to candidates based in Queensland, Australia.

Please submit your CV in English and include your English proficiency level. Role overview toloka-ai, working with Mindrift, offers freelance project-based assignments for specialists in statistics and Python. This is not a permanent position. Projects connect contributors with AI initiatives for leading technology clients. What you will do Develop original computational statistics problems that mirror real research methods. Create challenges solvable with Python, using libraries such as Numpy, SciPy, and Sympy. Design problems that are computationally demanding, often requiring significant time to solve manually. Formulate tasks involving advanced reasoning in number theory, combinatorics, graph theory, and numerical analysis. Base assignments on authentic research questions or practical mathematical scenarios. Validate solutions in Python using standard mathematical libraries. Document each problem clearly and supply accurate, verified answers. Requirements Degree in Statistics or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. At least 2 years of relevant experience in applied, research, or teaching roles. Strong written English skills at C1 level or above. Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered an advantage. Project process The workflow includes: Application, Qualification Assessment, Project Participation, Task Completion, and Compensation. Time commitment During active project phases, expect to contribute roughly 10–20 hours per week. Actual hours depend on project needs and are not guaranteed outside of active assignments. Compensation Earn up to $38 per hour. Actual rates depend on project complexity, required expertise, and individual contributions. Pay may vary between assignments. Location This is a remote position based in Queensland, Australia.

Join our dynamic engineering team at Freelancer, where we are actively seeking skilled Senior Software Engineers to elevate our innovative environment.We offer an unparalleled opportunity for high achievers looking to break away from the mundane corporate grind. If you possess exceptional talent and seek to collaborate with some of the brightest minds in the industry, this position is tailored for you.At Freelancer, you won’t be just another number in a mega-cap technology firm; instead, you will face a diverse array of internet-scale challenges that will allow you to make a tangible impact. Our meritocratic culture ensures that hard work is recognized and rewarded, allowing you to rapidly advance your skills.Our mission is to create one billion job opportunities globally, making a real difference in the lives of people everywhere. You will have the chance to engage with a multitude of engineering challenges, utilizing a variety of cutting-edge technologies across our platform. Freelancer.com is among the top 1000 websites globally, featuring a state-of-the-art frontend stack with Angular, TypeScript, and RxJS, while our robust backend supports a modern global marketplace.As a Senior Software Engineer, you will take the lead in making architectural decisions and ensuring engineering excellence within your team, overseeing complex projects from inception to completion.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for mathematicians and Python specialists. Work remotely on AI projects for leading technology firms, focusing on testing, evaluating, and improving AI systems. All engagements are project-based and not permanent positions. What you will do Create original computational mathematics problems that mirror real mathematical research workflows Design challenges requiring Python programming solutions, often using libraries like Numpy, SciPy, and Sympy Develop problems that are computationally intensive and may take days or weeks to solve Craft problems involving complex reasoning in areas such as number theory, combinatorics, graph theory, and numerical analysis Base problems on real-world research questions or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Familiarity with numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research processes Knowledge of computational complexity theory Excellent written English skills (C1+ level) Project workflow Application Qualification Assessment Project Assignment Task Completion Compensation Time commitment During active projects, tasks typically require 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload. Compensation Earn up to $35 per hour, depending on expertise and contribution speed. Actual rates vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation levels.

At PsiQuantum, our mission is to pioneer the development of the first practical quantum computers—machines that can unlock the remarkable potential that this technology has long promised. Since our inception in 2016, we have dedicated ourselves to the creation and deployment of million-qubit, fault-tolerant quantum systems. Quantum computers leverage the principles of quantum mechanics to tackle challenges that are insurmountable for even the most advanced supercomputers or AI systems. Their transformative impact is anticipated across diverse sectors including energy, pharmaceuticals, finance, agriculture, transportation, materials science, and more. Our innovative architecture utilizes silicon photonics, capitalizing on the advanced semiconductor manufacturing capabilities of our partners, such as GlobalFoundries. By employing the same high-volume processes that produce billions of chips for telecommunications and consumer electronics, we harness the natural advantages of photonics: photons are unaffected by heat, immune to electromagnetic interference, and compatible with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded initiatives to advance our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects signify a growing acknowledgment of the strategic and economic importance of quantum computing, emphasizing the urgency to scale our efforts. Furthermore, PsiQuantum is dedicated to developing the software and algorithms that will render these systems commercially viable. Our teams collaborate directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to ensure that our quantum solutions have a real-world impact. Quantum computing signifies not just an extension of classical computing, but a radical shift—a pathway to addressing challenges that cannot be resolved through any other means. The potential is immense, and we are committed to making it a reality. Join us on this transformative journey.