Mathematics & Python Consultant - Freelance AI Specialist

Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. These roles focus on testing, evaluating, and improving AI systems. All work is project-based and does not constitute permanent employment. Role overview This freelance position centers on creating and validating advanced computational mathematics problems that mirror genuine research workflows. Projects often require designing challenges that demand Python programming, using libraries such as Numpy, SciPy, or Sympy, for solution and verification. Problems should be computationally intensive, typically unsolvable by hand within a practical timeframe, and may involve areas like number theory, combinatorics, graph theory, or numerical analysis. Clear documentation and verified solutions are essential for every problem developed. What you will do Design original mathematics problems based on real research or practical applications Formulate challenges that require Python for resolution and validation Ensure problems are complex and computationally demanding Validate solutions using Python and standard mathematical libraries Document problem statements and provide correct, verified answers Requirements Degree in Mathematics (Pure or Applied) or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also accepted At least 2 years of professional experience in applied, research, or teaching roles Experience with numerical methods and symbolic computation Ability to design problems that reflect authentic mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1+ level) Project structure and time commitment Work is assigned on a project basis. The typical process: apply, pass qualification(s), join a project, complete tasks, and receive payment. For this project, expect to spend around 10–20 hours per week during active phases. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, based on expertise and pace. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates depending on their specific requirements. To apply, submit your CV in English and include your English proficiency level.

Mindrift connects mathematics and Python specialists with project-based AI consulting work for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems. All roles are freelance and do not offer permanent employment. Role overview Projects vary in scope and challenge. As a Mathematics & Python Specialist, tasks may include: Designing original computational mathematics problems that mirror real research workflows Creating problems that require Python programming for their solution, using libraries such as Numpy, SciPy, or Sympy Developing computationally intensive problems that are impractical to solve by hand Building problems involving advanced reasoning in number theory, combinatorics, graph theory, or numerical analysis Basing problems on actual research challenges or practical mathematical scenarios Validating solutions with Python and standard mathematical libraries Documenting problem statements and supplying accurate solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy 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 that reflect authentic mathematical research processes Knowledge of computational complexity theory Strong written English skills at C1 level or higher Project engagement Workload during active projects is typically estimated at 10–20 hours per week, depending on project needs. Actual hours may vary. Compensation Contributors may earn up to $76 per hour, with rates depending on expertise and the pace of contributions. Compensation structures differ by project complexity and requirements. Application process To apply, submit a CV in English and specify your English proficiency level. The process includes qualification steps, joining a project, completing assigned tasks, and receiving payment upon completion.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. These projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not represent permanent employment. What you will do Create original computational mathematics problems that mirror real mathematical research workflows Design problems requiring Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensure problems are computationally intensive and cannot be solved manually in a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base scenarios on real-world research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research processes Understanding of computational complexity theory Excellent written English skills (C1+ level) How to apply The application process includes: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated. Time commitment Tasks typically require around 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Earnings vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation based on their requirements.

We invite you to submit your CV in English, detailing your level of English proficiency.At Mindrift, we connect skilled professionals with project-based opportunities in AI for top technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Note that engagement is project-based and not a permanent position.Role OverviewThis role encompasses a variety of tasks tailored to each project, including:Creating complex mathematics problems that mirror real-world applications;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Validating calculations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);Refining AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for multi-step mathematical problems.Candidate ProfileThis position is ideal for mathematicians with Python experience who are interested in part-time, non-permanent projects. The ideal candidates should possess:A degree in Mathematics or a related field, such as Algebra, Calculus, or Number Theory;A minimum of 3 years of professional experience in mathematics;Proficiency in English at a strong written level (C1/C2);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be advantageous.ProcessSteps to engage: Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project CommitmentFor this role, tasks are projected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload.CompensationPaid contributions, with rates up to $55/hour*Compensation may include fixed project rates or individual rates based on project specifications;Some projects may offer incentive payments.*Note: Rates are subject to variation based on expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for highly specialized professionals.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for mathematics and Python specialists interested in advancing AI systems. Projects focus on assessing, evaluating, and improving AI for leading technology companies. These are not permanent positions; work is assigned per project. Role overview As a Mathematics & Python Specialist - Freelance AI Trainer, you will contribute to projects by creating and validating advanced computational mathematics problems. Tasks may include: Designing original math problems that mirror real research workflows Formulating problems that require Python programming for solutions, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive, with solutions that could take days or weeks to solve manually Developing problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research challenges or practical mathematical applications Validating solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing correct, verified answers 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, or SciPy is also relevant At least 2 years of professional experience (including applied, research, or teaching roles) Familiarity with numerical methods and symbolic computation Ability to design problems that reflect authentic mathematical research workflows Understanding of computational complexity theory Excellent written English (C1 level or higher) Application process The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation. Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload may vary depending on project needs and is not guaranteed for the full project duration. Compensation Contributors may earn up to $76 per hour, depending on experience and project contributions. Compensation varies by project scope, complexity, and expertise required.

Please submit your CV in English and include your English proficiency level. Mindrift connects specialists with project-based AI assignments for leading technology companies. These roles focus on testing, evaluating, and improving AI systems. All participation is project-based and does not represent permanent employment. Role overview This freelance Mathematics and Python Specialist position centers on designing and validating computational mathematics problems for AI training. Each project brings distinct challenges and may involve: Creating original computational mathematics problems that reflect real mathematical research workflows Formulating problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensuring problems are computationally intensive and not practically solvable by hand Developing problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on genuine research challenges or practical mathematical scenarios Verifying solutions in Python with established mathematical libraries Documenting problems clearly and providing verified correct answers Requirements Degree in Mathematics (Pure or Applied) or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is also acceptable At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems that mirror mathematical research workflows Knowledge of computational complexity theory Strong written English skills (C1 or higher) How projects work The process includes: Apply → Complete qualification(s) → Join a project → Execute tasks → Receive payment. Time commitment During active project phases, tasks typically require 10–20 hours per week, depending on project needs. This is an estimate, not a guaranteed workload. Compensation Contributors can earn up to $76 per hour, depending on experience and contribution pace. Actual rates vary by project scope, complexity, and expertise required. Other projects on the platform may offer different earning levels based on their needs.

Are you a passionate mathematics expert looking to influence the future of artificial intelligence? As large-scale language models evolve from simple chatbots to groundbreaking tools for scientific exploration, your expertise in mathematics can help revolutionize education and research. Join us in cultivating high-quality training data that empowers the next generation of AI, making world-class education accessible and enhancing problem-solving capabilities for mathematicians globally. We seek dedicated mathematics specialists with a strong foundation in algebra, calculus, number theory, geometry, probability, statistics, linear algebra, differential equations, real analysis, mathematical modeling, and discrete mathematics. Your role will involve challenging advanced language models on complex topics such as multivariable calculus, cryptography, optimization techniques, machine learning algorithms, mathematical proofs, set theory, combinatorics, and stochastic processes. Documenting every failure mode will be crucial to strengthen model reasoning. On a typical day, you will engage with the model on theoretical and applied mathematics questions, verify factual accuracy, ensure logical soundness, capture reproducible error traces, and provide suggestions for enhancing our prompt engineering and evaluation metrics. The ideal candidate will possess a master’s degree or PhD in mathematics or a closely related discipline, with peer-reviewed publications, teaching experience, or hands-on research projects indicating a strong fit. Exceptional communication skills, particularly in articulating your thought process, are essential. Are you ready to transform your mathematics expertise into a foundation for the AI of tomorrow? Apply today to start shaping the model that will educate the world.

Toloka AI seeks a Freelance Mathematics Expert - AI Trainer to support AI algorithm development. This contract position is remote, open to candidates based in Iowa, United States. Role overview This role centers on using mathematics knowledge to help build and refine AI models. Projects often blend elements of education and technology, offering a chance to work at the intersection of both fields. What you will do Use mathematics expertise to guide AI model improvement Participate in projects that link educational content with technology Requirements Solid background in mathematics Interest in artificial intelligence and its practical uses Location This is a remote role for candidates residing in Iowa, United States.

Mindrift offers project-based roles for professionals interested in advancing AI systems within the field of chemistry. This freelance opportunity is remote and open to candidates based in Wisconsin, United States. The position is not permanent and is suitable for those seeking flexible, part-time project work. Role overview Contributors will design and document original computational chemistry problems that reflect real-world research workflows. Tasks include: Creating problems that require Python programming to solve, using libraries such as numpy, scipy, and specialized chemical libraries Ensuring problems are computationally intensive and not solvable manually within a short timeframe Developing scenarios that demand advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling Basing problems on authentic research challenges or practical applications in chemistry Verifying solutions in Python using standard computational chemistry methods Clearly documenting each problem statement and providing accurate, verified answers Requirements Degree in Chemistry or a related discipline Proficiency in Python for numerical validation (skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages are also considered) At least 2 years of experience in applied research or teaching Background in numerical methods for chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or higher) Project structure The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment is estimated at 10–20 hours per week during active periods, though actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, based on expertise and pace. Compensation varies by project, reflecting the scope, complexity, and required skills. Other projects may have different pay rates depending on their specific requirements. Please submit your CV in English and indicate your English proficiency level.

Are you a mathematics expert fluent in German, passionate about influencing the future of artificial intelligence? As large-scale language models transition from sophisticated chatbots to groundbreaking tools for scientific exploration, your expertise is essential in crafting high-quality training data. This data is pivotal in democratizing access to top-tier education, advancing cutting-edge research, and enhancing the academic experience for students and professionals globally. We are in search of dedicated mathematics specialists who have a deep understanding of algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. Your role will involve challenging advanced language models on complex topics such as real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics. Documenting every failure mode will be crucial to fortifying model reasoning. On a typical day, you will engage with the model on classroom problems and theoretical mathematics inquiries, ensuring factual accuracy and logical integrity, while capturing reproducible error traces and proposing enhancements to our prompt engineering and evaluation metrics. A master’s degree or PhD in mathematics or a closely related quantitative discipline is highly preferred. Experience in peer-reviewed publications, teaching, or research in pure or applied mathematics, along with hands-on experience in mathematical modeling, will demonstrate your fit for this role. It is imperative that you possess clear, metacognitive communication skills—effectively “showing your work.” Are you ready to leverage your mathematics expertise to contribute to the foundational knowledge of tomorrow’s AI? Apply today and help shape the model that will educate the world. We offer an hourly pay range of $6 to $65, with the exact rate determined based on your experience, expertise, and location. Please note that as a contractor, you will need to provide a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO are not applicable.

Toloka AI is seeking a Freelance AI Trainer with a strong background in both Biology and Python. This remote contract role is based in Wisconsin, United States. Role overview This position centers on creating and presenting training materials for AI projects. The main focus is on helping others understand biological concepts and Python programming as they relate to artificial intelligence work. What you will do Develop clear, effective training content covering biology and Python topics Deliver these materials to support AI project teams Communicate complex ideas in a way that is accessible and engaging Requirements Expertise in biology Strong knowledge of Python programming Ability to explain technical subjects clearly

Toloka AI is seeking a freelance consultant with a strong background in biology and Python to help train AI models. This remote role is based in Pennsylvania and focuses on improving how AI systems interpret and process biological data. Role overview This position centers on using biology and Python expertise to support the development and training of AI models. The work involves guiding AI systems to better understand complex biological information. Work environment The role is fully remote, offering flexibility in where and how work is completed. Collaboration with other team members is an important part of the job. Location Remote , Pennsylvania, United States

Toloka AI is looking for a Freelance AI Training Consultant with a strong background in biology and Python programming. This remote role is based in Iowa, United States. Role overview This position centers on supporting AI training programs that involve biological applications. The consultant will apply both biology expertise and Python skills to help improve educational materials and training processes for artificial intelligence projects. What you will do Contribute biological knowledge to AI training initiatives Use Python programming to support and refine training content Offer guidance to enhance the quality and effectiveness of AI education programs Location This is a remote position open to candidates located in Iowa, United States.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis, not a permanent employment arrangement.Role OverviewEach project presents unique challenges, and contributors may be tasked with the following:Crafting comprehensive statistical problems that mirror industry practices;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Verifying computations or simulations utilizing Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;Enhancing AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for complex, multi-step problems.Ideal Candidate ProfileThis opportunity suits statisticians with Python experience who are open to part-time, non-permanent engagements. Preferred qualifications include:A degree in Statistics or a related discipline, such as Probability Theory, Mathematical Statistics, or Applied Statistics;A minimum of 3 years of professional experience in mathematics;Exceptional written English skills (C1/C2 level);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience with international or applied projects are advantageous.Application ProcessTo apply, please submit your application, pass any required qualifications, join a project, complete assigned tasks, and receive compensation.Expected CommitmentDuring active project phases, tasks are anticipated to require approximately 10–20 hours per week, based on project demands. This is an estimate and does not guarantee a specific workload.CompensationCompensation for contributions, with rates up to $73/hour*;Fixed project rates or individual rates, determined by project specifics;Some projects may include incentive payments.*Note: Rates may vary based on expertise, skills assessment, location, project requirements, and other factors. Highly specialized experts may receive higher rates. Lower rates may apply during onboarding or non-core project phases. Payment specifics will be provided for each project.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote contract role is open to candidates based in San Antonio, Texas, or elsewhere in the United States. Role overview This position centers on training and improving AI models for applications in biology. The work involves applying both subject matter knowledge and Python skills to help shape technology that supports research and education in the life sciences. What you will do Use expertise in biology and Python to guide the development of AI models Contribute to projects that aim to advance tools for biological research and learning Requirements Strong knowledge of biology Proficiency with Python Interest in AI model training and improvement

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects skilled professionals with project-based AI work for major technology companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance position combines electrical engineering expertise with Python programming skills. Contributors work on assignments that mirror real-world engineering workflows and research challenges. Projects focus on designing and verifying computational problems that require advanced calculations and simulations. Create engineering problems that involve system design, optimization, and analysis Develop scenarios requiring numerical methods or iterative solutions using Python Base assignments on practical engineering tasks or current research topics Verify solutions in Python, applying standard engineering libraries Document problem statements and provide clear, accurate answers Requirements Degree in Electrical Engineering or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus At least 2 years of professional experience in applied, research, or educational contexts Understanding of engineering constraints and practical approximations Strong English writing skills at C1 level or higher Certifications such as CMME, SAS, or CAP, and experience with international or applied projects are advantageous How to participate The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment During active project phases, tasks typically require 10–20 hours per week. Workload may vary and is not guaranteed outside these periods. Compensation Contributors may earn up to $69 per hour, depending on expertise and project requirements. Compensation varies by assignment, based on scope, complexity, and required skills. Other projects on the platform may offer different rates. Location: Remote , Virginia, United States

Please submit your CV in English and specify your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. Work centers on testing, evaluating, and improving AI systems. All participation is project-based and does not constitute permanent employment. Role overview This freelance Statistical Analyst & Python Specialist position supports AI training projects on a flexible, contract basis. Assignments vary by project and may include: Developing original computational statistics problems modeled on real-world mathematical research workflows Designing challenges that require Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy Creating computationally intensive problems that would take significant time to solve manually Building advanced reasoning problems in number theory, combinatorics, graph theory, or numerical analysis Basing problem sets on authentic research scenarios or applied mathematics Verifying solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing validated solutions Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also welcome At least 2 years of professional experience (applied, research, or teaching) Strong written English at C1 level or higher Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus How to join Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment Project tasks typically require 10–20 hours per week during active phases. Workload varies with project demand and is not guaranteed outside active periods. Compensation Contributors may earn up to $73 per hour, depending on skill level and pace. Actual rates depend on project scope, complexity, and required expertise. Other projects on the platform may offer different compensation based on their specific demands. Location This is a remote contract role open to candidates based in Virginia, United States.

This freelance, project-based position with toloka-ai (via Mindrift) connects experienced professionals to projects focused on testing, evaluating, and improving AI systems for leading technology companies. The role is remote, open to candidates based in New York, United States, and does not offer permanent employment. Role overview The AI Trainer - Statistics & Python Specialist creates challenging computational statistics problems modeled on real-world mathematical research. Each problem should require advanced reasoning and substantial computation, often involving Python programming with libraries such as Numpy, SciPy, and Sympy. Problems must be complex enough that they cannot be solved manually in a reasonable timeframe. Scenarios should reflect genuine research challenges or practical applications in mathematics, including topics like number theory, combinatorics, graph theory, and numerical analysis. Each problem requires clear documentation, a verified solution, and validation using Python and standard mathematical libraries. Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued Minimum 2 years of relevant professional experience (applied, research, or teaching) Strong written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus Project process Apply by submitting a CV in English and stating English proficiency Complete qualification steps Join a project when matched Work on assigned tasks Receive compensation for completed work Time commitment Active project phases typically require about 10–20 hours per week. Workload may fluctuate and is not guaranteed outside of active project periods. Compensation Rates can reach up to $73 per hour, depending on expertise and task completion rate. Compensation varies by project, reflecting complexity and required skills.

Please submit your CV in English and include your proficiency level. Mindrift offers project-based roles for specialists interested in AI system testing, evaluation, and improvement. This freelance position focuses on short-term assignments, not permanent employment. Role overview This freelance AI Trainer role centers on computational chemistry and Python. Contributors create and validate original problems that mirror real-world research workflows. Tasks include: Designing computational chemistry problems that reflect genuine research challenges or practical applications. Developing programming challenges using Python, with libraries such as Numpy, SciPy, and chemistry-specific packages. Ensuring problems require computational solutions that cannot be solved manually within a reasonable timeframe. Focusing on complex reasoning in physical chemistry, quantum chemistry, and molecular modeling. Validating solutions using recognized computational chemistry techniques in Python. Documenting problem statements clearly and providing verified answers. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages is also acceptable. At least 2 years of professional experience in applied chemistry, research, or teaching. Background in numerical methods relevant to chemistry. Understanding of computational chemistry principles and methodologies. Strong written English skills (C1+ level). How to participate Apply Pass qualifications Join a project Complete tasks Receive compensation Project time expectations Active project phases typically require 10–20 hours per week, though actual workload may vary and is not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and task completion speed. Compensation differs by project, reflecting scope, complexity, and required skills. Other projects on the platform may offer different earning rates.