Freelance AI Trainer - Research Physicist with Python Expertise

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift specializes in connecting skilled professionals with project-based AI opportunities for prominent tech companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based role, not a permanent posit…

Toloka AI seeks a freelance AI trainer who combines civil engineering experience with strong Python programming skills. This contract position is fully remote and open to candidates based in Sweden. Role overview This role centers on applying civil engineering knowledge and Python expertise to help train and refine artificial intelligence systems. The work supports the development of AI applications by contributing specialized insights from both fields. What you will do Apply civil engineering concepts and Python programming to improve AI models Offer subject matter expertise to shape and support AI application development Location This is a remote position for candidates located in Sweden.

Kindly submit your CV in English, along with a description of your English proficiency level.Mindrift bridges the gap between specialists and project-based AI opportunities offered by leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation in these projects is temporary and project-based, not permanent employment.What This Opportunity Entails:Contributors will engage in unique tasks for each project, which may include:Designing original computational engineering challenges that replicate real-world engineering workflows;Creating problems that require Python programming to address engineering calculations and simulations;Ensuring tasks are computationally intensive and necessitate numerical methods or iterative solutions;Formulating challenges related to system design, optimization, and analysis;Base challenges on actual research issues or practical applications from engineering practice;Validating solutions using Python and established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate Profile:This role is ideal for engineers with Python experience who are interested in part-time, non-permanent project engagements. The ideal candidate will 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, domain-specific libraries, Stata, or experience in any programming language will be considered;At least 2 years of professional experience, which can include applied, research, or teaching roles;A strong grasp of practical engineering constraints and approximations;Excellent written English skills (C1 level or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How It Works:Submit an application → Complete qualification assessments → Join a project → Carry out tasks → Receive payment.Project Time Commitment:During active project phases, tasks are estimated to require approximately 10-20 hours per week, based on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $50 per hour, depending on their skill level and contribution pace. Compensation may vary by project based on its scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their unique requirements.

Toloka AI is looking for a freelance specialist with a strong background in both biology and Python programming. This remote role is based in Sweden and centers on developing and improving materials used to train artificial intelligence systems. Role overview This position focuses on creating and refining training content that combines biological science concepts with Python. The work supports AI development by ensuring materials are accurate and effective. What you will do Develop AI training materials that draw on biology and Python expertise Review and enhance existing content to improve clarity and accuracy Who this role suits This freelance opportunity is well suited to those interested in the overlap between biological sciences and artificial intelligence, and who enjoy working independently on specialized projects.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift serves as a bridge connecting specialized professionals with project-based opportunities in artificial intelligence for top-tier tech companies, concentrating on the testing, assessment, and enhancement of AI systems. Please note that participation is based on projects, rather than permanent employment.Project OverviewEach project presents unique challenges, where contributors may be tasked with:Creating original computational physics problems that replicate authentic physics research workflows;Designing problems necessitating Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring problems are computationally intensive, requiring days or weeks to solve manually;Formulating problems that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research obstacles or real-world applications within the field of physics;Validating solutions using Python with standard physics simulation libraries;Thoroughly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis opportunity is perfect for optical engineers experienced in Python who are open to part-time, non-permanent roles. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language can be considered equivalent;Over 2 years of professional experience in applied, research, or teaching roles;Expertise in numerical simulation methods;The capability to design problems reflecting real physics research workflows;Inventive problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject CommitmentDuring active phases, tasks are estimated to require 10–20 hours per week, dependent on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $45 per hour, contingent upon their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Note that other projects on the platform may present different earning potential based on their specific requirements.

Mindrift connects mathematics specialists with project-based AI work for leading technology companies. This freelance role focuses on testing, evaluating, and improving AI systems. Projects are temporary and do not represent permanent employment. Role overview Assignments vary and may include: Designing original computational mathematics problems that reflect real research workflows Formulating problems that require Python programming for solutions, often using libraries like Numpy, SciPy, or Sympy Creating computationally intensive problems that cannot be solved manually in a reasonable timeframe Developing challenges involving advanced reasoning in number theory, combinatorics, graph theory, or numerical analysis Basing problems on authentic research challenges or practical applications in mathematics Validating solutions with Python and standard mathematical libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also valued At least 2 years of experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems that simulate real mathematical research processes Familiarity with computational complexity theory Excellent written English (C1+ proficiency) Project commitment Workload is estimated at 10–20 hours per week while projects are active. Actual hours may vary depending on project needs and are not guaranteed outside active phases. Compensation Contributors may earn up to $45 per hour, depending on expertise and contribution speed. Rates can vary by project based on scope and complexity. Other projects on the platform may offer different earning potentials. Application process Apply Pass qualifications Join a project Complete assigned tasks Receive payment Please submit your CV in English and specify your English proficiency level.

Are you a talented Data Scraping Engineer with expertise in Python? Join toloka-ai, a leading company in AI-driven solutions, where you'll have the opportunity to work on innovative projects that push the boundaries of technology. As a Freelance Data Scraping Engineer, you'll be responsible for developing robust data scraping solutions to extract valuable insights from various online platforms.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we bridge the gap between specialized talent and exciting, project-based AI roles with leading technology firms. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is on a project basis, not permanent employment.What You Will DoEach project presents unique challenges, and contributors may:Design innovative computational physics problems that replicate actual research workflows;Create programming challenges that necessitate Python solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensure tasks are computationally demanding and cannot be resolved manually within a reasonable timeframe;Develop problems that require sophisticated reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problem sets on genuine research obstacles or real-world applications from the field of physics;Verify solutions using Python and standard physics simulation libraries;Clearly document problem statements and provide validated answers.What We Are Looking ForThis role is ideal for physicists with Python experience who are interested in part-time, non-permanent engagements. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata being advantageous;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The capability to create problems that reflect real-world physics research workflows;Creative approaches to problem design across various physics domains;A solid understanding of physics modeling and approximation methods;Strong written English skills (C1+).Process OverviewApplication → Qualification Assessment → Project Assignment → Task Completion → PaymentProject Time CommitmentFor this project, expect to dedicate approximately 10–20 hours per week during active phases, based on specific project needs. This is an estimate and not a guaranteed workload for the duration of the project.Compensation DetailsContributors can earn up to $45 per hour, contingent upon their proficiency and contribution pace. Compensation may vary by project based on scope, complexity, and expertise required. Note that other projects may offer differing compensation levels based on their specific needs.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented specialists with exciting project-based AI opportunities for leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not entail permanent employment.What This Opportunity Involves:While each project presents its own unique challenges, contributors may:Design innovative computational statistics problems that reflect authentic mathematical research workflows;Create Python-based problems requiring solutions utilizing libraries such as Numpy, SciPy, and Sympy;Ensure problems are computationally intensive, taking days or weeks to solve manually;Develop scenarios necessitating complex reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;Base problems on genuine research challenges or practical applications in mathematics;Validate solutions using Python and standard mathematical libraries;Clearly document problem statements and provide verified correct answers.What We Look For:This opportunity is ideal for statistics specialists with Python experience who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Statistics or related disciplines;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language can be considered equivalent;At least 2 years of professional experience in applied, research, or teaching roles;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How It Works:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject Time Expectations:During active phases, tasks are estimated to require about 10–20 hours per week, depending on project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $50 per hour equivalent, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required expertise, and different projects may offer varying earning levels.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based position at Mindrift connects material scientists with expertise in Python to AI-driven projects for leading technology companies. The work focuses on testing, evaluating, and improving AI systems. This is not a permanent role. Role overview Material scientists in this role design and validate advanced engineering problems for AI training. Typical tasks include: Creating materials engineering problems that mirror real-world workflows Developing challenges that use Python for engineering calculations and simulations Ensuring problems are computationally intensive, often using numerical methods or iterative solutions Designing problems related to system design, optimization, and analytical processes Grounding tasks in real research or practical engineering scenarios Validating solutions in Python, often with established engineering libraries Documenting problem statements and providing verified solutions Requirements Degree in Material Science or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also valued Minimum of 2 years of professional experience in applied work, research, or teaching Solid understanding of practical engineering constraints and approximations Excellent written English at C1 level or higher How to get started Apply Meet qualification criteria Join a project Complete assigned tasks Receive payment Time commitment During active project phases, work typically requires 10–20 hours per week. Workload may vary and is not guaranteed outside of active projects. Compensation Contributors can earn up to $45 per hour, depending on project scope, complexity, and expertise. Rates may differ across projects on the platform. Location: Remote , Sweden

Please submit your CV in English and include your English proficiency level. Toloka AI, in partnership with Mindrift, offers project-based freelance opportunities for skilled professionals to help test, evaluate, and improve AI systems for leading technology companies. This is a freelance, project-based position and does not lead to permanent employment. Role overview As a Freelance AI Trainer (Data Scientist) working remotely from Sweden, assignments focus on building and refining AI models through real-world data science challenges. Typical projects include: Designing computational data science problems that mirror analytical workflows in sectors like telecom, finance, government, e-commerce, and healthcare. Developing problems that require Python solutions, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensuring problems are computationally demanding, taking days or weeks to solve, and not just manual calculations. Creating scenarios that call for complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and drawing insights. Making sure all challenges are deterministic and reproducible, either by avoiding randomness or by using fixed random seeds. Basing tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing scenarios that need scalable computational approaches. Validating solutions in Python with standard data science libraries and statistical techniques. Documenting problem statements clearly, with realistic business contexts and verified solutions. Requirements Minimum 5 years of hands-on data science experience with demonstrated business impact. A portfolio of completed projects or publications showing real-world problem solving. Advanced Python skills for data science (including pandas, numpy, scipy, scikit-learn, statsmodels). Strong background in statistical analysis and machine learning, with deep knowledge of algorithms and their uses. Proficiency in SQL and database operations for data manipulation and analysis. Experience with Generative AI, such as LLMs, Retrieval-Augmented Generation, prompt engineering, and vector databases. Understanding of MLOps and model deployment processes. Familiarity with frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English (C1 level or higher). How to apply Apply Complete qualifications Join a project Fulfill tasks Receive payment

Please submit your CV in English and specify your English proficiency level. toloka-ai, in partnership with Mindrift, offers project-based contract opportunities for experienced data science engineers. Projects focus on testing, evaluating, and improving AI systems for leading technology clients. This is not a permanent employment role but rather contract work based on individual assignments. Role overview Freelance Data Science Engineers (Python & SQL) work on a variety of projects, each with unique analytical and computational challenges. Assignments involve designing original data science problems that reflect real-world business scenarios in sectors such as telecom, finance, government, e-commerce, and healthcare. Create computational problems that require advanced analytical workflows and cannot be solved manually in a short time. Design tasks solvable in Python, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Develop scenarios involving data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Ensure each problem is deterministic and reproducible, using fixed seeds when randomness is necessary. Base challenges on real business needs, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Cover the full data science workflow: from data ingestion and cleaning to modeling, validation, and deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions in Python with established libraries and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications showing practical problem-solving skills. Advanced Python programming for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong knowledge of statistical analysis and machine learning algorithms. Proficient SQL skills and experience with database operations for analysis. Familiarity with Generative AI tools and techniques such as LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, or LangChain. Excellent written English at C1 level or above. Application process Submit your CV and indicate your English proficiency level. Complete the qualification steps. If selected, join a project. Work on assigned tasks. Receive compensation for completed work. Location: Remote , Sweden

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects highly skilled specialists with project-based AI opportunities for top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Engagement is on a project basis, rather than permanent employment.What This Opportunity InvolvesEach project features distinct tasks, including but not limited to:Designing innovative material engineering problems that replicate authentic engineering workflows;Creating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Grounding problems in real-world research challenges or practical engineering applications;Verifying solutions using Python and standard engineering libraries;Thoroughly documenting problem statements and providing verified, accurate solutions.What We Are Looking ForThis opportunity is ideal for material scientists and engineers with Python experience who are interested in part-time, non-permanent projects. The ideal candidate 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, Stata, or any other programming language is also acceptable;A minimum of 2 years of professional experience encompassing applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).How It WorksApply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.Project Time ExpectationsFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate, not a guaranteed workload, and applies only while the project is active.CompensationContributors can earn up to $45 per hour, contingent upon their level of contribution and pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that other projects on the platform may offer differing earning levels based on their specific requirements.

Mindrift is a dynamic platform that connects expert professionals with innovative, project-based opportunities in the AI sector, partnering with leading technology companies to test, evaluate, and enhance AI systems. This role is project-based and does not constitute permanent employment.About the PositionAs a Procurement and Supply Chain Specialist, you will leverage your extensive hands-on experience to create realistic disruption scenarios, establish expected outcomes, develop mitigation strategies, and critically assess AI-generated recommendations for their accuracy, relevance, and completeness in a business context.Key ResponsibilitiesProjects will encompass a variety of tasks, including but not limited to:Crafting authentic supply chain disruption scenarios (e.g., supplier delays, quantity alterations, logistical challenges, quality failures) rooted in real-world manufacturing and procurement environmentsDetermining expected outcomes and devising effective mitigation strategies for each scenarioEvaluating AI-generated responses and recommendations against practical business logicAssessing outputs for accuracy, completeness, and relevance within ERP systems, notably Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP)Assisting in structured data creation and validation as per established guidelines and frameworksQualifications We SeekA minimum of 4 years of direct experience in procurement, supply chain management, or purchasing, preferably within a manufacturing settingIn-depth understanding of procurement workflows, including purchase orders, vendor management, inventory, and production planningHands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365Proven ability to conceptualize and analyze supply chain disruption scenarios and their mitigation strategiesSolid grasp of various disruption types, including delays, shortages, quality issues, and logistics challengesKnowledgeable in Incoterms and transportation/logistics managementFamiliarity with Bill of Materials (BOM) structures and production planning processesExperience tracking supplier performance metrics (OTIF, lead times, quality scores)An analytical mindset capable of evaluating AI outputs against real-world business principlesExperience with data validation, structured data entry, or annotation tasksExcellent written communication skills in EnglishApplication ProcessApply → Complete qualifications → Join a project → Perform tasks → Receive paymentProject Time CommitmentThis project is expected to require approximately 10-20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $60 per hour, contingent upon experience and project requirements.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform that connects talented specialists with project-based AI opportunities for top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not lead to permanent employment.Opportunity Overview:Each project presents unique challenges, and contributors may:Design original computational physics problems that replicate real-world physics research workflows;Create programming challenges that require Python solutions (utilizing frameworks such as Numpy, SciPy, Sympy);Ensure that problems are computationally intensive and cannot be resolved manually within practical time limits (days/weeks);Develop scenarios that necessitate complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on real research dilemmas or applicable challenges from physics practice;Verify solutions using Python in conjunction with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Desired Qualifications:This opportunity suits quantum researchers with Python experience who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also valuable;At least 2 years of professional experience, whether in applied work, research, or teaching;Experience with numerical simulation techniques;The capacity to design problems reflective of genuine physics research workflows;Creative problem-solving abilities across various physics domains;Familiarity with modeling and approximation techniques in physics;Strong command of written English (C1 level or higher).Application Process:Apply → Pass the qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Commitment:Tasks are estimated to require approximately 10–20 hours per week during active phases, based on specific project demands. This is an estimate and not a guaranteed workload for the duration of the project.Compensation:Contributors can earn up to $45 per hour, depending on their skill level and contribution pace. Compensation varies across projects based on their scope, complexity, and required expertise. Note that other projects on the platform may offer different earning levels based on specific requirements.

This freelance, project-based role with Mindrift centers on supply chain consulting and AI training. The position is remote and open to candidates based in Sweden. Please note: this is not a permanent employment arrangement. Role overview Mindrift brings together experienced professionals and leading technology firms for AI-driven projects. As a Freelance Supply Chain Consultant & AI Trainer, the focus will be on using practical expertise to create realistic disruption scenarios, define outcomes and mitigation strategies, and review AI-generated recommendations for accuracy and business relevance. What you will do Design credible supply chain disruption scenarios based on real procurement and manufacturing challenges, such as supplier delays, quantity changes, logistics problems, or quality issues. Outline expected outcomes and effective mitigation plans for each scenario. Evaluate AI-generated responses and recommendations, ensuring they align with established business logic. Review outputs for accuracy and relevance within ERP systems, with emphasis on Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Support structured data creation and validation tasks according to provided guidelines and frameworks. Requirements Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, preferably in a manufacturing environment. Strong understanding of procurement workflows, including purchase orders, vendor management, inventory, and production planning. Direct experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze supply chain disruption scenarios and develop mitigation strategies. Knowledge of disruption types: delays, shortages, quality concerns, and logistics challenges. Familiarity with Incoterms, transportation, and logistics management. Understanding of Bill of Materials (BOM) structures and production planning processes. Experience with supplier performance metrics, including On-Time In-Full (OTIF), lead times, and quality scores. Analytical skills to evaluate AI outputs against practical business logic. Background in data validation, structured data entry, or annotation work. Strong written communication skills in English. Application process Apply Meet qualification requirements Join a project Complete assigned tasks Receive payment Project time commitment During active project phases, tasks usually require between 10 and 20 hours per week. Actual workload may vary and is only applicable while a project is ongoing. Compensation Contributors may earn up to $60 per hour, depending on qualifications and experience.

Role overview Toloka AI is hiring a Senior Consultant for a freelance AI project. This remote role is open to candidates based in Sweden. The position calls for experience from MBB (McKinsey, BCG, Bain) or other leading consulting firms. What you will do Guide AI-focused projects from initial strategy to hands-on execution, drawing on prior consulting experience. Collaborate with a skilled team to design and implement AI solutions tailored to project needs. Develop and refine strategies that increase the impact and efficiency of AI deployments. Requirements Previous experience at MBB or a comparable top-tier consulting firm. Proven track record managing projects centered on artificial intelligence. Ability to work independently and communicate effectively in a remote setting.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.At Mindrift, we bridge the gap between specialists and project-based AI opportunities for leading technology firms, with a focus on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.What This Opportunity EntailsEach project may involve unique tasks; contributors might be expected to:Craft original optics problems that replicate authentic physics research workflows;Ensure these problems are computationally intensive and cannot be solved manually within a reasonable time (days or weeks);Develop problems necessitating complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research challenges or practical applications in optics and physics;Clearly document problem statements and provide verified correct answers.What We Are Looking ForThis opportunity is ideal for optical engineers seeking part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;A minimum of 2 years of professional experience, including applied, research, or teaching experience;Familiarity with numerical simulation methods;The ability to design problems that reflect real physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation techniques;Advanced written English skills (C1+).How It WorksApplication → Qualification Assessment → Project Engagement → Task Completion → PaymentProject Time ExpectationsDuring active phases of the project, tasks are estimated to require approximately 10–20 hours per week. This is an estimated workload and is not guaranteed; it is applicable only while the project is ongoing.CompensationContributors can earn up to $45 per hour, based on their level and pace of contribution. Compensation varies by project depending on scope, complexity, and required expertise. Note that other projects on the platform may offer different compensation levels based on specific requirements.

Role overview Mindrift is hiring an AI Workflow Engineer (AI Pilot) to contribute to the Tendem project. This freelance, part-time position is open to candidates based in Sweden and is fully remote. The role centers on building automation systems that blend large language models (LLMs) with human expertise. For more information about the project, visit https://tendem.ai/. What you will do Work closely with Tendem Agents to design and refine automation workflows using advanced LLMs Use structured thinking to develop, test, and enhance AI-driven processes Create and optimize prompts for various automation needs Maintain quality control and ensure reliability in deployed AI workflows Requirements Experience integrating LLMs and working with AI automation systems Strong skills in prompt engineering and workflow design Attention to detail, especially in quality control and process improvement Ability to work effectively in environments where AI and human input intersect Location and commitment Remote role based in Sweden Part-time, freelance arrangement