Freelance Civil Engineer and Python Specialist - AI Training Expert

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.Opp…

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, through Mindrift, is looking for freelance Research Physicists and AI Trainers for remote, project-based assignments in Queensland, Australia. Contributors support top technology companies by testing, evaluating, and improving AI systems. This arrangement is not permanent employment; participation is linked to specific projects as they arise. Role overview This contract role centers on developing original optics problems that reflect real-world physics research. Assignments often involve designing scenarios that require significant computational resources, making manual solutions impractical. Work spans advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics, with each challenge based on authentic research issues or practical applications. Clear documentation and accurate solutions are expected for every problem created. Responsibilities Create original optics problems modeled after actual research workflows Design challenges requiring extensive computation, beyond manual solving Develop scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics Ground problems in real research or practical physics applications Document problems and provide thoroughly verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that reflect real research processes Creative problem-solving skills across various physics domains Experience with physics modeling and approximation Strong written English skills at C1 level or higher Project details During active project periods, tasks generally require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed. Commitment is expected only while assigned to a current project. Compensation Contributors may earn up to $35 per hour, with rates varying by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation depending on their requirements. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation

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.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote position is based in Queensland, Australia and centers on advancing AI in the biological sciences. Role overview This role involves developing and refining AI models by applying expertise in both biology and programming. The work supports new advances in how AI is used within biological research and applications. What you will do Collaborate with a diverse team to design and improve training materials Participate in model training sessions, using knowledge of biology and Python to guide AI development Work environment This freelance position offers the flexibility of remote work and the chance to contribute meaningfully to the AI community, particularly at the intersection of technology and biological science.

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

Please submit your CV in English and specify your English proficiency level. Mindrift 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 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 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 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.

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 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.

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

We invite you to submit your CV in English 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.

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.

Toloka-AI seeks a Computer Science Specialist with advanced Python skills to contribute to AI projects for the Mindrift platform. This remote role is open to candidates based in Queensland, Australia. Key responsibilities Use Python to develop and enhance AI technologies for the Mindrift platform. Work closely with team members to strengthen platform features and performance. Support improvements to user experience through technical input and solutions. Location This position is fully remote and based in Queensland, Australia.

Please submit your CV in English and indicate your English proficiency level. toloka-ai, together with Mindrift, offers project-based contract work for optical engineers who want to support AI training projects. This remote role is open to candidates based in Queensland, Australia. Engagements are tied to specific projects and do not constitute permanent employment. Role overview This freelance position centers on designing and documenting advanced optics problems for AI training. The work draws on authentic research scenarios and practical applications in physics. Assignments are project-specific and require both subject expertise and strong written communication. What you will do Develop original optics problems that reflect real-world physics research workflows Create problems that require computational approaches and cannot be solved manually in a short period Design challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on genuine research situations or practical optics applications Document each problem thoroughly and provide accurate, verified solutions Requirements Degree in physics (theoretical, experimental, or computational) or a closely related field Minimum of 2 years of professional experience, including applied, research, or teaching roles Experience with numerical simulation techniques Ability to design realistic, complex problems that mirror actual research workflows Creative problem-solving skills across multiple physics domains Familiarity with physics modeling and approximation methods Strong written English skills at C1 level or higher How the process works Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, expect to spend about 10–20 hours per week on assigned tasks. Workload may fluctuate depending on project needs and is not guaranteed outside of live project periods. Compensation Contributors may earn up to $35 per hour, depending on contribution level and pace. Actual rates will vary with project complexity, scope, and required expertise. Other projects on the platform may offer different compensation based on their specific needs.

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

OverviewAt Pluralis Research, we are at the forefront of Protocol Learning, innovating a decentralized approach to training and deploying AI models. This revolutionary method democratizes access to AI, allowing individuals to contribute to model training rather than relying solely on large corporations. By aggregating computing power from a diverse range of participants and incentivizing their contributions, we are paving the way for a truly collaborative and open AI ecosystem.We are seeking a skilled ML Training Platform Engineer to design, develop, and enhance the foundational infrastructure that supports our decentralized machine learning training platform. You will be responsible for key systems that encompass infrastructure orchestration, distributed computing, and services integration, facilitating ongoing experimentation and large-scale model training.

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