Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments that help advance AI systems for major technology companies. This freelance position is project-based and not a permanent role. Role overview The Freelance Data Science Engineer works on complex projects in sectors including telecom, finance, government, e-commerce, and healthcare. The main focus is designing and validating data science problems that closely resemble real analytical workflows in industry. What you will do Create original computational data science problems that reflect real-world analysis tasks. Develop challenges that require advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Design problems that are computationally intensive and would take days or weeks to solve manually. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Produce deterministic problems with reproducible results by using fixed random seeds and avoiding stochastic elements. Address business topics like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end challenges covering the full data science pipeline, from data ingestion to deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions using Python and standard data science tools. Document each problem with a realistic business context and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. A portfolio of completed projects or publications that demonstrate strong problem-solving skills. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with a solid understanding of algorithms and practical applications. Proficiency in SQL and experience with database operations for analysis and manipulation. Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases. Familiarity with MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1 level or higher). How to apply Submit your application and CV in English. After passing the qualification process, join a project to complete tasks and receive payment. Location Remote , Manitoba, Canada

Please submit your CV in English and indicate your level of English proficiency.Mindrift is dedicated to linking talented specialists with innovative project-based opportunities in AI for top-tier technology companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based engagement and does not constitute permanent employment.Opportunity OverviewEach project presents a variety of unique tasks that contributors may undertake, including:Creating original materials that simulate authentic engineering workflows;Formulating engineering problems that necessitate Python programming for simulations and calculations;Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges around system design, optimization, and analysis;Designing problems based on real-world research challenges or practical applications from the field;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Qualifications and Skills RequiredThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent work arrangements. The ideal candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written communication skills in English (C1+ level).How the Process WorksApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationExpected Project CommitmentThis project anticipates a commitment of approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.Compensation DetailsContributors can earn up to $35 per hour, subject to their expertise and contribution pace. Please note that compensation may vary significantly across different projects based on their complexity and scope.

Toloka AI seeks a civil engineer with strong Python programming skills to join as a freelance AI trainer. This contract position is fully remote and open to candidates based in Manitoba, Canada. Role overview This role combines civil engineering expertise with Python development to support projects focused on training artificial intelligence systems. The position involves collaborating with team members and contributing technical insights that influence project direction. What you will do Apply civil engineering knowledge and Python programming to AI training projects Work with team members to refine and improve AI models Offer technical insights that help shape project outcomes Location This is a remote role for candidates located in Manitoba, Canada.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. The focus is on assessing, evaluating, and improving AI systems. All positions are project-based and do not offer permanent employment. Role overview This freelance, remote position is available to candidates based in Manitoba, Canada. Material scientists with strong Python expertise will design and validate engineering challenges for AI projects. The work centers on creating realistic problems and ensuring solutions are accurate and practical. Main responsibilities Develop materials engineering problems that reflect real-world processes Create tasks requiring Python programming for calculations and simulations Ensure problems involve computational complexity, such as numerical methods or iterative solutions Design challenges focused on system design, optimization, and analysis Base problems on authentic research or practical engineering scenarios Validate all solutions using Python and standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or teaching Solid understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Project commitment Expect to contribute roughly 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. This estimate applies only during active phases and does not guarantee a set number of hours. Compensation Earn up to $35 per hour, depending on contribution and pace. Compensation may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different rates depending on their needs. Application process Apply Meet qualifications Join a project Complete assigned tasks Receive compensation

Huawei Canada is excited to announce an immediate opening for a Senior Principal Researcher specializing in AI for Science.Join Our Innovative Team:At Huawei Canada, our Technology Planning and Cooperation Department is at the forefront of strategic innovation. Collaborate with top experts as we explore new technological frontiers and develop long-term strategies to fulfill Huawei's vision. This unique role allows you to blend both technical prowess and business acumen.As we advance our next-generation computing infrastructure and AI foundation models that seamlessly integrate physics, simulation, and learning at an unprecedented scale, we are seeking a visionary individual who can bridge the gap between scientific AI research and system-level innovation—propelling our mission to merge computing and connectivity, thereby facilitating large-scale AI for Science and simulation intelligence.Key Responsibilities:Engage in groundbreaking research at the intersection of scientific computation and AI infrastructure, focusing on areas such as physics-informed AI, distributed training, and hybrid simulation–ML workflows.Collaborate with Huawei’s Computation and Networking R&D teams to design infrastructure-aware AI models and optimize algorithms alongside hardware.Lead or significantly contribute to AI for Science foundation models in disciplines such as materials science, physics, molecular dynamics, or multi-scale simulations.Develop and prototype distributed training solutions and integrated AI pipelines utilizing Huawei’s MindSpore and Ascend AI ecosystems.Publish research findings in leading ML and scientific venues (e.g., NeurIPS, ICML, JHEP, PRD) and enhance Huawei’s internal intellectual property and R&D assets.Mentor junior researchers and contribute to the strategic planning of Huawei’s AI for Science and Computing Infrastructure initiatives.

Toloka AI is seeking a Freelance AI Trainer with a strong background in biology and Python programming. This remote contract role is open to candidates based in Manitoba, Canada. Role overview This position centers on developing AI training programs that support learning in the biological sciences. The work blends subject matter expertise in biology with practical Python programming skills to create engaging educational content. What you will do Design training materials focused on biology and Python applications Conduct workshops to facilitate learning and skill development Collaborate with a multidisciplinary team to shape impactful educational experiences Who will succeed This role suits those who enjoy combining scientific knowledge with programming to support innovative AI projects. Experience in both biology and Python is essential.

This freelance, project-based role at Toloka AI (in partnership with Mindrift) focuses on developing and validating advanced mathematics problems for AI education. Work is remote from Manitoba, Canada, and all applications must include a resume in English along with your English proficiency level. Role overview Contributors design computational mathematics challenges that mirror real research workflows. Each project brings unique tasks, such as: Creating original mathematics problems that require significant computational effort (not solvable manually in a reasonable timeframe) Developing Python-based solutions using libraries like Numpy, SciPy, or Sympy Focusing on areas such as number theory, combinatorics, graph theory, and numerical analysis Basing problems on genuine research questions or real-world mathematical applications Validating solutions programmatically and documenting both problems and solutions clearly 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 is also accepted At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems based on authentic mathematical research Understanding of computational complexity theory Excellent written English (C1 level or higher) Project commitment Projects typically require an estimated 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors can earn up to $35 per hour, depending on the project’s complexity, scope, and your contribution. Rates may differ for other projects on the platform. Application process Apply with your resume and English proficiency Pass qualification steps Join a project Complete assigned tasks Receive payment This is a non-permanent, part-time opportunity for mathematicians with Python expertise interested in project-based AI education work.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift connects talented specialists with exciting, project-based AI opportunities at leading technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement and does not constitute permanent employment.What This Role EntailsContributors will engage in diverse tasks that may include:Designing innovative computational statistics problems that replicate authentic mathematical research workflows;Developing problems that require Python programming to solve, utilizing libraries such as Numpy, SciPy, and Sympy;Creating computationally intensive problems that cannot be manually solved within a reasonable timeframe (days or weeks);Formulating problems that necessitate non-trivial reasoning across various mathematical domains, including number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real research challenges or practical scenarios from the field of mathematics;Validating solutions using Python and established mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Desired QualificationsThis opportunity is ideal for statistics experts with Python experience seeking part-time, non-permanent project roles. The ideal candidates will possess:A degree in Statistics 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 can be considered equivalent;At least 2 years of professional experience in applied statistics, research, or teaching;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete the assigned tasks, and receive payment.Project Time CommitmentDuring active phases, tasks for this project are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and may vary based on the active project requirements.CompensationContributors can earn up to $38 per hour, contingent on their level of expertise and contribution pace. Compensation may differ across projects based on their scope, complexity, and required expertise. Please be aware that other projects on the platform may offer varying earning levels based on specific requirements.

Please submit your CV in English and specify your English proficiency level. Mindrift connects skilled professionals with project-based AI roles at leading tech companies. The platform focuses on testing, evaluating, and improving AI systems. All positions are temporary and project-based, not permanent employment. Role overview This Senior Python Systems Developer role centers on functional testing for a large-scale project. The work involves building and executing black box tests for codebases written in various languages, using strong Linux and Docker skills. The position calls for reading and understanding code in C, Rust, or Go, often with the support of large language models (LLMs) such as Roo Code or Claude Code. Translating migration requirements and streamlining development with modern tools is a key part of the job. What you will do Create and run functional black box tests for large, multi-language codebases. Set up and manage Docker environments to ensure reproducible builds and reliable test execution across platforms. Monitor code coverage and implement automated scoring to meet industry standards. Use LLMs (such as Roo Code and Claude) to automate repetitive tasks, speed up development, and improve code quality. Requirements Minimum 5 years of software engineering experience, with a strong focus on Python. Advanced knowledge of pytest (including fixtures, session-scoped tests, and timeouts) and experience designing black-box functional tests for CLI tools. Proficient with Docker: building reproducible Dockerfiles, managing user contexts, and creating secure workspaces. Strong command of Linux and Bash scripting, including debugging within containers. Comfortable with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and understand code in multiple languages (C, C++, Rust, or Go) with LLM support. Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate development and create test cases. English proficiency at B2 level or higher. Preferred qualifications Experience with agent evaluation platforms and MCP CLI. Key tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading only), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Project details and benefits Freelance, project-based work through the Mindrift platform (powered by Toloka AI). Fully remote and flexible: set your own hours and workload (20-30 hours per week). Competitive compensation: AI trainers on this project can earn up to $45 per hour equivalent. Location: Remote , Manitoba, Canada

Mindrift connects skilled professionals with project-based roles in AI development, focusing on testing, evaluating, and improving advanced AI systems. This freelance position is open to candidates based in Manitoba, Canada, and is not a permanent role. Role overview The Chemistry & Python Specialist will contribute to projects by designing and validating complex computational chemistry problems. Tasks emphasize real-world research scenarios and require strong analytical and programming abilities. Contributors play a key part in shaping AI systems used by leading technology firms. What you will do Create original computational chemistry problems that reflect authentic research workflows Develop programming challenges in Python, using libraries such as NumPy and SciPy Design tasks that are computationally intensive and require extended effort to solve Formulate problems involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling Base problem statements on real research challenges or practical chemistry applications Validate solutions using Python and established computational chemistry methods Document problem statements clearly and supply verified solutions Requirements Degree in Chemistry or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Pandas, SciPy, or domain-specific libraries is also considered At least 2 years of professional experience in applied, research, or teaching roles Expertise in numerical methods relevant to chemistry Strong understanding of computational chemistry principles and techniques Exceptional written English skills at C1 level or higher How projects work The process involves several steps: Application, Qualification, Project Assignment, Task Completion, and Payment. Each project phase may differ in scope and requirements. Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $35 per hour, depending on expertise and task completion speed. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different pay rates. Please submit your CV in English and indicate your level of English proficiency when applying.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects experienced data scientists with contract-based AI projects for major tech companies. Work centers on testing, evaluating, and improving AI systems across a range of industries. This is a project-based contract, not a permanent role. Role overview The Freelance Data Scientist (Python & SQL) will design and validate complex computational problems that reflect real analytical workflows. Projects may involve sectors like telecom, finance, government, e-commerce, and healthcare. Assignments focus on creating and documenting original data science problems that mirror practical business challenges. What you will do Create computational data science problems based on real business scenarios. Develop tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally demanding and cannot be solved manually in a short time. Design scenarios involving complex reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Write deterministic problems with reproducible results, using fixed random seeds as needed. Align problem statements with business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Address the full data science pipeline: ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data processing elements that require scalable solutions. Validate solutions using Python and standard statistical methods. Document problems clearly in realistic business contexts and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving. Advanced Python programming for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithms and practical applications. Strong SQL skills for data manipulation and analysis. Experience with GenAI tools (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps and model deployment workflows. Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain. Exceptional written English (C1 level or higher). Application process Apply with an English CV and indicate your English proficiency. Complete qualification steps. Join a project when matched. Complete assigned tasks. Receive compensation for your contributions. Location: Remote , Manitoba, Canada Note: This is a part-time, project-based contract and does not constitute permanent employment.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be tasked with:Designing original computational engineering problems that reflect real-world engineering workflows;Creating problems that necessitate Python programming to perform engineering calculations and simulations;Ensuring the problems are computationally intensive and require numerical methods or iterative solutions;Developing problems centered on system design, optimization, and analysis;Creating challenges based on authentic research issues or practical applications from the engineering field;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is well-suited for engineers proficient in Python who are open to part-time, non-permanent projects. Ideally, candidates should possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessTo apply, follow these steps: Apply → Pass qualification checks → Join a project → Complete tasks → Get compensated.Project Time CommitmentDuring active phases, tasks are anticipated to require approximately 10-20 hours per week, depending on project needs. This estimate is not a guaranteed workload and is applicable only while the project is ongoing.CompensationContributors can earn up to $39 per hour, contingent on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Other projects on the platform may offer different earning opportunities based on their specific requirements.

We invite you to submit your resume in English and specify your proficiency level in the English language.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in the AI sector, collaborating with leading technology companies to test, evaluate, and enhance AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewAs a contributor, you will engage in various unique projects that may involve:Designing original computational engineering problems that accurately simulate real-world engineering workflows;Creating Python-based problems for solving engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Utilizing real research challenges or practical applications from engineering practice as the basis for problems;Verifying solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified answers.Qualifications We SeekThis role is ideal for engineers with Python expertise who are interested in part-time, non-permanent project work. We ideally seek candidates with:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or equivalent programming languages;At least 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process OverviewApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationProject Time CommitmentDuring active phases of the project, contributors can expect to commit approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors to this project have the potential to earn up to $39 per hour, contingent on their contribution level and pace. Please be aware that compensation may differ across different projects based on their scope, complexity, and required expertise.

Please submit your CV in English and indicate your level of English proficiency.Mindrift empowers professionals by connecting them with exciting, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This engagement is strictly project-based and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may:Design innovative computational physics problems that replicate real-world physics research processes;Develop problems necessitating Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensure that problems are computationally intensive and cannot be resolved manually within a practical timeframe (days/weeks);Create challenges that demand complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research obstacles or practical applications within the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis role is ideally suited for optical engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Familiarity with numerical simulation methods;The capacity to design problems that align with real physics research workflows;Creative problem-solving skills across various areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+).How to Get InvolvedApply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project needs. This estimate is not a guaranteed workload and only applies while the project is active.Compensation DetailsContributors can earn up to $35 per hour, based on their expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skills. Note that other projects on the platform may offer varying earning potentials based on distinct requirements.

Join our dynamic team at kabs as a Computer Science Technician (Level 3) in Longueuil! We are seeking a motivated individual who will play a crucial role in supporting our IT infrastructure and ensuring smooth operations. This position requires a keen eye for detail, problem-solving skills, and a passion for technology.

Join Huawei Canada as an AI Computing Systems Researcher and contribute to groundbreaking advancements in AI technology.Team Overview:The Advanced Computing and Storage Lab at the Vancouver Research Centre is dedicated to pioneering adaptive computing architectures that effectively manage the complexities of future application loads. Our mission is to ensure the robustness of training clusters through innovative dynamic configuration strategies and precision control systems, enhancing both stability and efficiency of computational power. We focus on crucial AI industry applications, including large model training and inference, utilizing cutting-edge techniques such as low-precision training and reinforcement learning to analyze bottlenecks and develop optimization solutions.Position Responsibilities:Drive advancements in AI systems on the Ascend platform by enhancing performance, efficiency, and usability tailored for large model training and inference.Design and develop optimization solutions focusing on FP8 optimization, reinforcement learning-driven training agents, and next-generation multi-modal understanding and generation.Integrate AI algorithm requirements with system-level architectural enhancements in computing, I/O, scheduling, and precision control to boost overall system performance.Establish stable and efficient AI training clusters using dynamic configuration and precision control to guarantee scalability and reliability.Create software frameworks, operator libraries, and system-level optimizations for NPU platforms to expedite large-model AI training processes.Lead innovative strategies in optimizing large-model training and inference through low-precision training, parallel strategy tuning, and reinforcement learning techniques.

This 12-month contract role is based in Vancouver, British Columbia, with the Advanced Computing and Storage Lab at Huawei Canada. The team focuses on adaptive computing architectures to support modern AI workloads, aiming to boost the stability and quality of training clusters. Work centers on dynamic configuration strategies and precision control systems that help optimize computing power clusters for AI applications. Role overview The AI Computing Systems Researcher will address challenges in large model training and inference. The lab uses methods such as low-precision training, multi-modal learning, and reinforcement learning to spot bottlenecks and deliver practical optimization solutions for AI systems. What you will do Improve performance, efficiency, and usability of AI systems on the Ascend platform, focusing on industry AI applications. Design and develop optimization solutions for AI training and inference, including FP8 optimization and reinforcement learning-driven training agents. Integrate AI algorithm requirements with system-level architectural improvements in computing, I/O, scheduling, and precision control. Build scalable AI training clusters using dynamic configurations and precision control to enhance reliability. Develop software frameworks, operator libraries, and acceleration libraries for NPU platforms to support large-model AI training. Lead optimization efforts for large-model training and inference using low-precision methods, parallel strategy tuning, and reinforcement learning. This position offers the opportunity to contribute to next-generation AI system capabilities in a collaborative research environment at Huawei Canada.

Please submit your CV in English, specifying your English proficiency level.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities across renowned tech companies, dedicated to the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis and does not constitute permanent employment.Project Involvement Includes:Designing innovative computational physics problems that emulate authentic research workflows;Creating problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and not solvable manually within practical timeframes (days/weeks);Developing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in real research challenges or practical applications from the field of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Desired Qualifications:This role is ideal for quantum researchers proficient in Python, seeking part-time, non-permanent project opportunities. Preferred 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 specific programming language may be considered equivalent;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methodologies;Adeptness in designing problems that reflect genuine physics research workflows;Creative problem design skills spanning various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Time Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, varying with their contribution level and speed. Compensation may differ across projects depending on scope, complexity, and expertise required.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented professionals with project-based AI opportunities for leading technology firms, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based engagement, not a full-time position.Project Overview:Each project involves distinctive tasks, including:Creating innovative computational physics problems that emulate authentic physics research workflows;Developing programming challenges that necessitate Python solutions (utilizing Numpy, SciPy, Sympy);Ensuring tasks are computationally demanding and unsuitable for manual resolution within practical timeframes (days/weeks);Constructing problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate Profile:This role is ideal for physicists with Python expertise who are interested in part-time, project-based engagements. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or any programming language is equivalent;At least 2 years of relevant professional experience: applied, research, or teaching experience is applicable;Experience with numerical simulation methodologies;Ability to design problems that reflect authentic physics research workflows;Creative problem design skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ proficiency).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project Commitment:For this project, contributors are expected to allocate approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary across projects based on their scope, complexity, and required expertise.