We request you to submit your CV in English and indicate your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement and not a permanent position.Opportunity OverviewEach project presents unique challenges, where contributors may be tasked with:Formulating original material engineering problems that replicate real-world engineering workflows;Developing challenges that necessitate Python programming for engineering calculations and simulations;Creating computationally intensive problems that require numerical methods or iterative solutions;Designing problems related to system design, optimization, and analysis;Drawing from real research challenges or practical applications from engineering practice;Validating solutions using Python and standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis position is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent roles. The ideal candidates will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language will be considered;A minimum of 2 years of professional experience, including applied research or teaching experience;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).Process OverviewApplication → Qualification Assessment → Project Assignment → Task Completion → PaymentProject CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.CompensationContributors can earn up to $35 per hour, depending on their experience and contribution pace. Compensation levels may vary across projects based on their scope, complexity, and expertise required. Other projects on the platform may provide different earning potentials.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we specialize in connecting experts with flexible, project-based AI opportunities within top-tier tech companies, dedicated to the assessment and enhancement of AI systems. Please note that this is a project-based position and does not entail permanent employment.Opportunity Overview:Contributors will engage in a variety of unique tasks tailored to each project, which may include:Formulating original computational physics challenges that accurately reflect genuine physics research methodologies;Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Creating computationally demanding problems that are impractical to solve manually within a reasonable timeframe;Designing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications in the field of physics;Validating solutions using Python in conjunction with standard physics simulation libraries;Documenting problem statements comprehensively and providing verified, accurate answers.Qualifications:This role is suited for physicists with Python experience who are open to part-time, non-permanent engagements. Ideal candidates will possess:A 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, domain-specific libraries, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Expertise in numerical simulation techniques;Capability to craft problems that reflect real physics research processes;Innovative thinking in problem design across various areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English proficiency (C1+).Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:Contributors can expect to dedicate approximately 10–20 hours per week during active project phases, contingent upon project demands. This is an estimation and not a guaranteed workload, applicable only during active phases.Compensation:Participants can earn up to $35 per hour, contingent on their contribution level and pace. Compensation levels vary across projects based on their specific requirements.

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.

About Our TeamJoin Q-CTRL’s Quantum Sensing Research team, a vibrant group of around 30 experts dedicated to groundbreaking advancements in quantum sensing and quantum navigation. This dynamic team specializes in theoretical and experimental atomic physics, cold-atom interferometry, navigation modeling, and state-of-the-art Bayesian estimation and signal processing techniques.Our Quantum Sensing Research and Engineering teams collaborate closely to transform innovative research into practical applications and products. We are committed to expanding the limits of quantum sensing technology and ensuring our research and development efforts have significant real-world impact.About the PositionWe are seeking a Senior Scientist to provide essential technical leadership in our experimental science initiatives focused on atom-interferometry based quantum sensors. This role will concentrate on mitigating scientific risks associated with a variety of novel techniques aimed at enhancing the performance of cutting-edge quantum sensors.In addition to your technical contributions, you will play a vital role in ensuring the smooth and effective operations at Q-CTRL. This may involve taking on responsibilities beyond your immediate role to help us achieve our mission of making quantum technology practically useful.

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.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech companies, with an emphasis on testing, evaluating, and enhancing AI systems. Please note that this is a project-based role and not a permanent position.Opportunity Overview:Each project comes with distinct tasks, where contributors may be engaged in:Crafting innovative computational physics problems that replicate genuine physics research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries like Numpy, SciPy, and Sympy);Ensuring problems are computationally demanding and cannot be resolved manually within practical timeframes;Developing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in authentic research difficulties or practical applications in the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified solutions.Ideal Candidate Profile:This role is suited for optical engineers with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, Computational) or a relevant discipline;Proficiency in Python for numerical validation. Equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is acceptable;At least 2 years of professional experience, which can include applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems reflective of real physics research workflows;Creative problem-solving abilities across various physics domains;Understanding of physics modeling and approximation methods;Strong written English skills (C1 level or higher).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Receive payment.Project Engagement Expectations:For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, based on specific project needs. This is an estimate and does not guarantee workload.Compensation Details:Contributors can earn up to $45 per hour, depending on their contribution level and pace. Compensation may vary across projects based on scope, complexity, and required expertise, with other projects potentially offering different earnings.

Please submit your CV in English and specify your English proficiency level. Mindrift is a dynamic platform that connects talented specialists with exciting project-based AI opportunities across leading tech companies, concentrating on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not involve permanent employment.Opportunity Overview:While each project presents distinct challenges, contributors may be involved in:Crafting original computational physics problems that emulate real-world physics research workflows;Designing problems that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring the problems are computationally intensive and cannot be resolved manually within a reasonable timeframe (days/weeks);Developing problems that require sophisticated reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications within the field of physics;Validating solutions through Python and standard physics simulation libraries;Providing clear documentation of problem statements along with verified correct answers.Desired Qualifications:This opportunity is ideally suited for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any other programming language is advantageous;A minimum of 2 years of professional experience, which can include applied, research, or teaching roles;Experience with numerical simulation methods;The ability to create problems that reflect real physics research workflows;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong written English proficiency (C1+ level).Process Overview:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active phases, contingent on project requirements. This is an estimate and not a guaranteed workload, and it applies only while the project is active.Compensation:Contributors can earn up to $35 per hour, dependent on their contribution level and pace. Compensation varies across projects, influenced by scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their specific requirements.

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.

Join our innovative team as a Senior Research Scientist specializing in Machine Learning. We are searching for a skilled researcher with deep expertise in Code-oriented LLMs, Agentic Systems, Reinforcement Learning, and Reasoning Models. The perfect candidate will have a proven history of publishing groundbreaking research in top-tier conferences and journals such as NeurIPS, ICML, ICLR, and ACL. This role is based in Sydney, offering a hybrid working model that combines the flexibility of remote work with in-office collaboration.

Join Griffith University as a PhD candidate specializing in the exciting field of quantum sensing with single photons. This scholarship offers a unique opportunity to explore groundbreaking research that aims to advance our understanding of quantum technologies.

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.

Join the Mindrift team as a Freelance Python Data Scraping Engineer for the Tendem project, where you'll play a pivotal role in enhancing our hybrid AI + human data workflows.In this part-time remote position, referred to as an AI Pilot at Mindrift, you will collaborate with Tendem Agents who take care of repetitive tasks, while you apply your critical thinking and domain expertise to ensure the delivery of high-quality, actionable data.About MindriftAt Mindrift, we connect talented specialists with groundbreaking AI projects from leading technology organizations. Our mission is to harness the power of Generative AI by leveraging real-world expertise from around the globe.Role OverviewThis freelance opportunity involves managing data scraping tasks that require technical precision for web extraction and processing. You will utilize various tools including Apify and OpenRouter, along with your own innovative strategies.Key ResponsibilitiesLead end-to-end data extraction workflows across diverse websites, ensuring thorough coverage, accuracy, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) and custom workflows to expedite data collection, validation, and task execution while adhering to project requirements.Ensure reliable extraction from dynamic web sources, adapting methods to handle JavaScript-rendered content and evolving site behavior.Uphold data quality standards through validation checks, consistency controls across different sources, and systematic verification before delivery.Scale scraping operations for extensive datasets using efficient batching or parallelization, monitor for failures, and maintain stability against minor site structural changes.CompensationCompensation for this project can reach up to $32 per hour, depending on your expertise and contribution pace.How to ApplyTo get started, simply submit your application and, upon qualification, you'll have the opportunity to work on projects that align with your technical skills, all on your own schedule. Your contributions will be vital in advancing AI capabilities and real-world applications.

We invite you to submit your CV in English, specifying your proficiency level in the language.Mindrift is dedicated to bridging specialists with project-oriented AI opportunities across top-tier technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. This engagement is based on project work rather than permanent employment.Opportunity OverviewWhile each project presents distinct challenges, contributors can expect to:Craft innovative computational statistics problems that reflect genuine mathematical research workflows;Develop tasks that necessitate Python programming solutions utilizing libraries such as Numpy, SciPy, and Sympy;Ensure the complexity of problems requires substantial computational resources, making manual solutions impractical within typical timeframes;Formulate problems that involve intricate reasoning across domains such as number theory, combinatorics, graph theory, and numerical analysis;Base challenges on real-world research problems or applicable mathematical scenarios;Validate solutions through Python, employing standard mathematical libraries;Clearly articulate problem statements and deliver validated correct answers.Qualifications We SeekThis role is ideal for statistics professionals experienced in Python, who are open to non-permanent, part-time projects. Candidates should ideally possess:A degree in Statistics or related disciplines;Proficiency in Python for numerical validation, with equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages being acceptable;A minimum of 2 years of relevant professional experience, whether in applied roles, research, or teaching;Strong command of written English (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be considered advantageous.How the Process Works1. Apply → 2. Pass qualifications → 3. Join a project → 4. Complete tasks → 5. Receive paymentProject Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $38 per hour, based on their contribution level and speed. Compensation may vary across projects according to their scope, complexity, and expertise required. Note that other projects may offer different compensation rates based on their specific requirements.