We invite you to submit your CV in English, highlighting your proficiency level in the language.Mindrift is at the forefront of connecting skilled professionals with project-based AI opportunities for renowned tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based rather than permanent employment.Role Overview:Each project presents unique challenges, including but not limited to:Crafting original computational data science problems that reflect real-world analytical workflows across sectors such as telecom, finance, government, e-commerce, and healthcare.Developing problems requiring proficiency in Python programming (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).Designing computationally intensive problems that cannot be solved manually within practical timeframes (days or weeks).Creating complex problems necessitating sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting valuable insights.Formulating deterministic problems with reproducible outcomes: avoiding stochastic elements or mandating fixed random seeds for precise reproducibility.Grounding problems in genuine business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and enhancing operational efficiency.Structuring end-to-end problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Integrating scenarios that involve big data processing requiring scalable computational strategies.Validating solutions with Python, employing standard data science libraries and statistical techniques.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.What We Seek:This opportunity is ideal for Data Science specialists with Python experience who are open to part-time, non-permanent projects. Candidates should ideally possess:5+ years of relevant data science experience demonstrating tangible business impact.A portfolio of completed projects and publications showcasing applied problem-solving skills.Expertise in Python programming for data science (Pandas, Numpy, Scipy, Sklearn, Statsmodels).Advanced knowledge of statistical analysis and machine learning, including a deep understanding of algorithms, methods, and their practical applications.Strong proficiency in SQL and database operations for effective data manipulation and analysis.Familiarity with Generative AI technologies (e.g., LLMs, RAG, prompt engineering, vector databases).Knowledge of MLOps practices and model deployment workflows.Understanding of contemporary frameworks (e.g., TensorFlow, PyTorch, LangChain).Exceptional written English skills (C1+).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities from top technology companies, emphasizing the testing, evaluation, and enhancement of AI systems. This role involves project-specific engagement, rather than permanent employment.Role Overview:Each project presents distinct tasks, where contributors may be responsible for:Crafting original computational data science challenges that replicate real-world analytical workflows across various sectors such as telecom, finance, government, e-commerce, and healthcare.Formulating problems that necessitate Python coding to resolve, utilizing libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring that these problems are computationally demanding, requiring extensive processing time that cannot be resolved manually within practical timeframes.Developing scenarios that involve complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Designing deterministic problems with reproducible solutions, avoiding stochastic components or ensuring fixed random seeds for exact replication.Creating challenges based on genuine business problems, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and enhancing operational efficiency.Structuring end-to-end problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Integrating big data processing situations that demand scalable computational methods.Validating solutions using Python alongside standard data science libraries and statistical techniques.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.Who We Are Looking For:This opportunity aligns well with Data Science experts experienced in Python who are available for part-time, non-permanent projects. Ideally, candidates will possess:A minimum of 5 years of hands-on experience in data science with demonstrated business impact.A portfolio of completed projects and publications that highlight real-world problem-solving capabilities.Proficient Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels).A deep understanding of statistical analysis and machine learning, including algorithms, methodologies, and practical applications.Expertise in SQL and database management for data manipulation and analysis.Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).Familiarity with MLOps practices and model deployment workflows.Knowledge of contemporary frameworks (TensorFlow, PyTorch, LangChain).Strong written English skills (C1 or higher).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get paid

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.

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, 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.

Collaborate with a talented team on exciting projects and diverse clienteleEnhance your expertise in AWS, Data, and DevOps cloud operationsAlready familiar with AWS? We'll teach you the advanced skills!About itoc:We fast-track and mitigate the risks in our clients' transition to the cloud.As an award-winning provider of cloud consulting, engineering, and managed services, we have a solid history of guiding clients through their cloud strategies, implementations, and operations.Being a leading consulting partner with Amazon Web Services, we prioritize integrity and a commitment to successful projects.Culture and intelligence matter to us. Bring your unique skills to our dynamic environment where you will collaborate with some of the best minds in the cloud sector.We put in the hard work, but we also know how to have fun!The Opportunity:We are expanding our Data Team in Sydney and are seeking individuals eager to advance both technically and professionally. Your role will involve working with databases, data lakes, data warehouses, and data transformation using Python and SQL, while enabling AI/ML functionalities.As a Data Engineer, you will implement robust, production-ready data platforms that facilitate business data discovery, self-service capabilities, and AI/ML functions across various client types and industries, empowering them to leverage their data effectively.Key Responsibilities Include:Deploying data repositories, such as lakes and warehouses.Contributing to our expanding portfolio of data solutions.Ongoing optimization and management of data platforms.Developing transformational logic for data pipelines.Promoting data best practices to our clients.

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.

Cuscal Limited is seeking a Quality Assurance Engineer with strong skills in SQL, Python, and Pyspark. This position is based in Sydney and sits within the Engineering Practice, focusing on maintaining and improving the quality of software products. Role overview This role centers on collaborating with cross-functional teams to identify, document, and track software defects. The Quality Assurance Engineer will also help shape and maintain automated testing frameworks, ensuring that products meet high quality standards. What you will do Work closely with engineers and other teams to find and report defects Contribute to the development and upkeep of automated testing frameworks using SQL, Python, and Pyspark Develop and execute test plans Offer insights to improve quality assurance processes Requirements Proficiency in SQL, Python, and Pyspark Strong analytical and problem-solving skills Experience creating and running test plans Interest in technology and quality assurance Ability to collaborate with diverse teams

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.

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.

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.

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.

We invite you to submit your CV in English, highlighting your proficiency in the language.At Mindrift, we bridge the gap between talented specialists and exciting project-based AI opportunities with top tech firms, concentrating on the assessment, validation, and enhancement of artificial intelligence systems. Note that participation is project-based rather than a permanent role.Role OverviewEach project entails distinct responsibilities, where contributors may:Devise comprehensive Computer Science challenges that mirror real-world applications;Assess AI solutions for accuracy, underlying assumptions, and limitations;Utilize Python (NumPy, Pandas, SciPy) to verify calculations or simulations;Enhance AI logic to conform with industry best practices;Implement structured scoring criteria across complex tasks;Collaborate with a global network of PhDs to uphold the utmost scientific rigor.Candidate ProfileThis role suits Computer Science professionals with Python expertise who are interested in part-time, non-permanent projects. The ideal candidates will possess:A degree in Computer Science or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, specific domain libraries, or any programming language will be considered equivalent;A minimum of 2 years of professional experience in applied work, research, or teaching;Advanced written English skills (C1+).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Application ProcessSubmit your application → Complete qualifications → Join a project → Execute tasks → Receive compensation.Project CommitmentFor this role, active phases typically require 10–20 hours per week, depending on project demands. This is an estimate and does not guarantee specific hours.Compensation DetailsContributors can earn up to $45 per hour, contingent upon their contribution level and efficiency. Compensation varies per project based on its scope, complexity, and required expertise. Note that other projects on the platform may offer different pay scales.

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.

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.

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.

Please submit your CV in English and indicate your level of English proficiency. Mindrift offers project-based, remote roles for professionals skilled in chemistry and Python. These freelance positions focus on supporting AI development for leading technology companies. Participation is not permanent employment, and work is assigned on a project basis. What you will do Design computational chemistry problems that reflect real-world research workflows. Create Python-based challenges requiring programming solutions, often using numpy, scipy, and chemistry-specific libraries. Ensure problems are complex enough to require computational methods, not manual solutions. Develop tasks involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base assignments on authentic research scenarios or practical chemistry applications. Validate solutions using Python and established computational chemistry techniques. Document each problem clearly and provide verified answers. Requirements Degree in Chemistry or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or relevant chemistry libraries is also acceptable. At least 2 years of professional experience in applied research, teaching, or a related area. Background in numerical methods within chemistry. Knowledge of computational chemistry concepts and techniques. Strong written English skills (C1 level or higher). How projects work The process includes application, qualification, joining a project, completing assigned tasks, and receiving payment. During active project phases, tasks typically require 10–20 hours per week, though actual workload may vary. Compensation Contributors can earn up to $35 per hour, depending on expertise and pace. Compensation may differ by project based on scope, complexity, and required skills. Other projects may offer different pay structures.

Role overview NielsenIQ is seeking a Data Science Manager based in Sydney. This leadership position centers on guiding a team of data scientists who transform complex datasets into actionable insights for clients. The manager shapes project direction and ensures analytical work meets high standards. Main responsibilities Lead and mentor a team of data scientists, fostering professional growth and collaboration Oversee the development and improvement of data science methodologies Review analysis and recommendations to ensure they consistently meet client expectations Support strategic decision-making and contribute to the company’s business growth