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Experience Level
Senior
Qualifications
Requirements:Proficient in operating systems, networking, and systems architecture. Extensive experience with Linux and managing database, web, and file servers in production environments. Demonstrated expertise in cloud platforms, virtualization, and container services such as AWS, GCP, Azure, VMware, OpenStack, Docker, Kubernetes, or Docker Swarm. Familiarity with configuration management and infrastructure orchestration tools, including Puppet, Chef, Ansible, CloudFormation, or Terraform. Programming skills in Python, Go, PHP, Ruby, or Node.js. Experience in incident response with a strong security-focused mindset. Bachelor's Degree in Computer Science, Engineering, or a related field is preferred.
About the job
Join our dynamic Systems Engineering team as a Senior DevOps Engineer / Site Reliability Engineer, where your expertise will play a vital role in designing and delivering mission-critical services and systems. Collaborate closely with software engineers to manage infrastructure and services at scale, utilizing an array of cutting-edge technologies to support the high-traffic Freelance.com marketplace and various other business products deployed on Amazon Web Services. Our tech stack includes Nginx, MySQL, Redis, ElasticSearch, RabbitMQ, Consul, Docker, and Kubernetes, all aimed at building highly resilient, dynamically scalable, self-healing systems through automation and monitoring using Terraform, Puppet, Prometheus, Grafana, Kibana, and Jenkins.
About Freelancer Ltd.
Freelancer Ltd. is a leading online marketplace for freelancing and crowdsourcing, connecting millions of employers and freelancers globally. Our mission is to provide one billion jobs, making a real difference in the lives of our users. With a vibrant office located in the iconic Grosvenor Place, we foster an engaging work environment that encourages innovation and collaboration.
Part-time|A$32/hr - A$32/hr|Remote|Remote — Queensland, Australia
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 think…
Contract|A$55/hr - A$55/hr|Remote|Remote — Queensland, Australia
Please submit your CV in English and indicate your English proficiency level. toloka-ai, in partnership with Mindrift, connects experienced data science engineers to project-based freelance assignments for leading technology companies. These roles focus on testing, evaluating, and improving AI systems. This is a freelance, project-based position and not a permanent role. What you will do Create original computational data science problems that reflect real-world analytical workflows in sectors such as telecom, finance, government, e-commerce, and healthcare. Design challenges that require Python programming with libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Develop computationally intensive problems that cannot be solved manually within a reasonable timeframe. Formulate tasks involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Ensure all problems have deterministic solutions, using fixed random seeds for reproducibility when needed. Base scenarios on real business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design problems that span the entire data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing cases that require scalable computational approaches. Verify solutions in Python using standard data science libraries and statistical methods. Document each problem clearly, providing realistic business context and confirmed correct answers. Requirements Minimum 5 years of hands-on data science experience with demonstrated business impact. Portfolio of completed projects or publications showing real-world problem-solving ability. Advanced Python programming skills for data science, including Pandas, Numpy, Scipy, Sklearn, and Statsmodels. Deep understanding of statistical analysis and machine learning, including algorithms and practical applications. Strong SQL skills for data manipulation and analysis. Familiarity with GenAI technologies such as large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and vector databases. Understanding of MLOps practices and model deployment workflows. Experience with frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1 level or higher). Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive payment Location: Remote , Queensland, Australia
Part-time|A$45/hr - A$45/hr|Remote|Remote — 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.
Full-time|On-site|Sydney, New South Wales, 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.
Contract|A$55/hr - A$55/hr|Remote|Remote — Queensland, Australia
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.
Full-time|On-site|Sydney, New South Wales, Australia
We are expanding our engineering team and are seeking talented Full-Stack Software Engineers to elevate our company to new heights.This role is not your typical corporate position. If you're a high achiever with exceptional skills, looking for more than a mundane job, eager to collaborate with the brightest minds, and thrive without constant supervision, this is the opportunity for you.Joining a large tech company as the 10,000th employee may make it difficult to see your impact. Conversely, at a startup, you might work on temporary projects with limited mentorship and minimal chance to effect real change.At Freelancer, you will tackle a diverse array of global, internet-scale challenges that offer you real responsibility and the chance to make a substantial impact while rapidly enhancing your skills. We champion a meritocratic environment, actively promoting from within.Our mission is to create one billion jobs, and we genuinely make a difference in providing opportunities and income to individuals worldwide. Freelancer truly stands out in this regard.You will encounter a wide variety of engineering challenges. You’ll have the chance to work with an extensive range of technologies across our platforms. Freelancer.com is an Alexa top 1000 website, featuring a modern frontend stack that includes Angular, TypeScript, and RxJS. Our backend supports a robust suite of services that power a global marketplace including messaging, payments, translations, file services, and a notification system that sends millions of notifications every hour. We deploy code into production multiple times a day.
Part-time|A$39/hr - A$39/hr|Remote|Remote — Queensland, Australia
We kindly request that you submit your CV in English, along with a clear indication of your English proficiency level.Mindrift bridges the gap between talented specialists and project-based AI opportunities with leading tech companies, centered on testing, evaluating, and enhancing AI systems. Please note that this is a project-based opportunity, not a permanent position.Key Responsibilities:Craft original computational engineering scenarios that emulate genuine engineering workflows.Develop challenges that necessitate Python programming for effective engineering calculations and simulations.Ensure tasks are computationally demanding and utilize numerical methods or iterative solutions.Formulate problems related to system design, optimization, and analysis.Base scenarios on actual research challenges or practical applications encountered in engineering.Validate solutions through Python using standard engineering libraries.Clearly document problem statements and provide verified correct answers.Ideal Candidate Profile:This role is suitable for engineers with Python expertise, looking for part-time, non-permanent projects. Candidates should ideally possess:A degree in Electrical Engineering or a related discipline.Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable.A minimum of 2 years of professional experience, whether applied, research, or teaching.A solid understanding of practical engineering constraints and approximations.Strong English writing skills (C1+ level).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process Overview:Submit your application → Complete qualification assessments → Engage in a project → Execute tasks → Receive payment.Project Time Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, based on specific project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $39 per hour, contingent on their contribution level and pace. Earnings may vary across projects based on scope, complexity, and required expertise.
Contract|A$39/hr - A$39/hr|Remote|Remote — Queensland, Australia
We invite you to submit your CV in English and specify your English proficiency level.At Mindrift, we connect talented professionals with innovative, project-based AI opportunities from leading technology companies, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation in our projects is on a temporary basis and not permanent employment.Opportunity OverviewEach project presents unique challenges, and as a contributor, you may be tasked with:Designing original computational engineering problems that replicate real-world engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Creating computationally intensive problems requiring numerical methods or iterative approaches;Developing challenges related to system design, optimization, and analysis;Grounding problems in actual research challenges or practical engineering applications;Validating solutions using Python and standard engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideal for engineers with proficiency in Python who are open to part-time, non-permanent assignments. The ideal candidates will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language;A minimum of 2 years of applicable professional experience, including applied work, research, or instructional roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be advantageous.Process OverviewApply → Complete qualification assessments → Join a project → Perform tasks → Receive compensation.Project Time ExpectationsDuring active phases, the tasks for this project are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and does not guarantee a specific workload.Compensation DetailsContributors can earn up to $39 per hour, based on their level and the pace of their contributions. Please be aware that compensation may vary for different projects based on the specific scope, complexity, and expertise required.
Full-time|On-site|Sydney, New South Wales, Australia
Join our dynamic team as a Staff Software Engineer at Freelancer in beautiful Sydney. In this role, you will leverage your extensive experience to design, develop, and optimize scalable software solutions that drive our platform's success. You will collaborate with cross-functional teams to deliver high-quality products and enhance user experience.As a Staff Software Engineer, you will be responsible for leading technical initiatives, mentoring junior engineers, and ensuring best practices in software development are followed. You will play a crucial role in shaping the future of our technology stack and influence key architectural decisions.
Full-time|On-site|Sydney, New South Wales, Australia
Transform the Future of WorkJoin a dynamic leadership role where you will guide engineering teams that support platforms with over 85 million global users. Envision yourself designing systems that have revolutionized business operations, from the largest freelancing marketplace to a payment ecosystem that secures over US$8 billion in transactions.This is your opportunity to lead engineering at Freelancer (ASX: FLN) and spearhead category-defining platforms:Freelancer: A recipient of fourteen Webby Awards and the cornerstone of online work.Escrow.com: The trusted layer of the internet, safeguarding billions in transactions.LoadShift: Australia’s freight revolution, moving more tonnage than the weight of Earth to the moon on weekdays.To thrive in this role, you should: Dream in systems, think in architecture, and believe that exceptional engineering addresses genuine problems at scale, transcending mere code delivery.Lead a diverse team of engineering talent across six continents, from Sydney to San Francisco. Our culture emphasizes technical excellence, rapid iteration, and success measured by impact.Are you ready to create products that resonate with millions?Key Responsibilities as Director of Engineering:Build and Scale Engineering Teams: Cultivate high-performance teams that deliver production code multiple times daily, fostering a culture of ownership, quality, and continuous improvement across globally distributed squads.Drive Technical Vision: Collaborate with engineering teams to develop roadmaps, set delivery goals, and achieve them within tight timelines while maintaining a reputation for reliability at internet scale.Architect for Impact: Work alongside senior architects to contribute to technical plans and designs that address complex distributed systems challenges across messaging, payments, translations, and notification systems processing millions of events hourly.Lead Through Influence: Effectively communicate with stakeholders at all levels, from product managers to the C-suite, translating technical complexities into business value and strategic decisions.Elevate Engineering Excellence: Establish and promote world-class engineering practices, maintaining high software quality standards through code reviews, testing discipline, and a culture of continuous learning.Optimize Across Constraints: Collaborate closely with product managers and cross-functional teams to achieve optimal outcomes considering competing priorities of speed, quality, and technical debt management.Cultivate a Championship Culture: Build a team culture aligned with our company values, where engineers take initiative, improve daily, leverage data, and perform like a professional sports team.
Full-time|On-site|Sydney, New South Wales, Australia
Join our dynamic Systems Engineering team as a Senior DevOps Engineer / Site Reliability Engineer, where your expertise will play a vital role in designing and delivering mission-critical services and systems. Collaborate closely with software engineers to manage infrastructure and services at scale, utilizing an array of cutting-edge technologies to support the high-traffic Freelance.com marketplace and various other business products deployed on Amazon Web Services. Our tech stack includes Nginx, MySQL, Redis, ElasticSearch, RabbitMQ, Consul, Docker, and Kubernetes, all aimed at building highly resilient, dynamically scalable, self-healing systems through automation and monitoring using Terraform, Puppet, Prometheus, Grafana, Kibana, and Jenkins.
Full-time|On-site|Sydney, New South Wales, Australia
Transform the Future of WorkImagine spearheading engineering teams that drive platforms utilized by 80 million users worldwide. Visualize yourself designing systems that have revolutionized business operations, from the largest freelancing marketplace to a payment ecosystem that safeguards over US$7 billion in transactions.This is your opportunity to join Freelancer (ASX: FLN) and lead engineering efforts for industry-defining platforms:Freelancer: A thirteen-time Webby Award winner and the heart of online work.Escrow.com: The internet’s trust layer, protecting billions in transactions.LoadShift: Australia’s freight revolution, transporting more tonnage than the distance to the moon on weekdays.You will excel in this role if you: Dream in systems, think in architecture, and believe that excellent engineering addresses real-world problems at scale, not just merely writing code.Lead exceptional engineering talent across six continents, from Sydney to San Francisco. Our culture champions technical excellence, thrives on swift iterations, and measures success by the impact achieved.Are you ready to create products that make a difference for millions?As the Director of Engineering, you will:Build and scale high-performing engineering teams that deploy production code multiple times a day, fostering a culture of ownership, quality, and continuous improvement across globally distributed teams.Drive the technical vision and execution by collaborating with engineering teams to develop roadmaps, establish delivery goals, and meet them within ambitious timelines while upholding our reputation for reliability at internet scale.Architect for impact by engaging directly with senior architects to contribute to technical plans and designs that tackle complex distributed systems challenges across messaging, payments, translations, and notification systems processing millions of events every hour.Lead through influence by effectively communicating with stakeholders across the organization, from product managers to C-suite executives, translating technical complexities into business value and strategic decisions.Elevate engineering excellence by establishing and practicing world-class engineering habits, maintaining high standards of software quality through code reviews, testing disciplines, and a culture of continuous learning.Optimize across constraints by closely collaborating with product managers and cross-functional teams to achieve the best outcomes while balancing speed, quality, and technical debt management.Cultivate a championship culture centered on our company values, empowering engineers to take charge, improve continuously, leverage data, and perform like a world-class sports team.
Full-time|On-site|Sydney, New South Wales, Australia
Join us at Freelancer as a Software Engineering Manager, where you will lead dynamic teams of engineers in driving our mission forward.This role is not for the faint-hearted or those seeking a mundane corporate job. If you are a high achiever looking to make a difference, eager to collaborate with top talent and thrive without constant supervision, this position is tailored for you.Unlike being just another number at a mega-cap technology firm, or getting lost in the shuffle of a startup, at Freelancer, you have the opportunity to tackle a diverse range of global challenges that genuinely matter. Here, your contributions will have a significant impact, and you will rapidly enhance your skills in a meritocratic environment that promotes from within.Our mission is to create one billion jobs, making a real difference in people's lives around the globe. At Freelancer, you will engage with a wide array of engineering challenges across our platform. We are an Alexa top 1000 site with a modern frontend stack utilizing Angular, TypeScript, and RxJS, and our backend supports a vast global marketplace encompassing messaging, payments, translations, file services, and a notification system that delivers millions of notifications each hour. We deploy code to production multiple times daily.
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
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.
Part-time|A$38/hr - A$38/hr|Remote|Remote — Queensland, Australia
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.
Contract|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in connecting experts with project-based AI tasks for leading tech firms, focused on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not permanent employment.What You Will ContributeEach project comes with its own distinctive tasks, including but not limited to:Crafting original computational physics problems that replicate authentic physics research workflows;Developing problems that require Python programming for solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring the problems are computationally demanding and cannot be solved manually within practical time constraints (days/weeks);Formulating problems that necessitate complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research challenges or practical applications derived from physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is perfect for quantum researchers proficient in Python who are open to part-time, non-permanent project work. Ideally, you will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming languages is acceptable;2+ years of professional experience in applied, research, or teaching settings;Experience with numerical simulation methodologies;The capacity to design problems that reflect real physics research workflows;Innovative thinking in problem design across various fields of physics;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+ level).How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time CommitmentFor this project, tasks are anticipated to demand approximately 10–20 hours per week during active phases, depending on the project requirements. This estimate is not a guaranteed workload and applies only while the project is ongoing.CompensationContributors can earn up to $35 per hour, contingent on their level and pace of contribution. Compensation may differ across projects based on their scope, complexity, and required expertise. Please note that other projects on the platform may offer varying earning levels based on their specific requirements.
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
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.
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
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.
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
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.
Join our dynamic Data Sync Team as a Staff Software Engineer and play a crucial role in enhancing our data synchronization processes. Our ideal candidate is proficient in Golang and Python, with strong experience in leveraging AWS services. This role offers a unique opportunity to work remotely across Australia and New Zealand, allowing you to collaborate with a diverse team of talented engineers.