Civil Engineer & Python Specialist - Freelance AI Trainer

toloka-ai seeks a freelance AI trainer with a background in civil engineering and strong Python skills. This contract position is remote, with work based in Metro Manila, Philippines. Role overview This position focuses on training and improving AI models by combining civil engineering expertise with Python programming. Projects draw on both technical and do…

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, in partnership with Mindrift, connects skilled specialists with project-based AI initiatives for leading technology companies. This freelance role centers on testing, evaluating, and improving AI systems through advanced mathematical and programming tasks. This is a project-based contract, not a permanent employment position. Role overview As a Mathematics and Python Specialist, projects will require designing and validating complex computational mathematics problems. Assignments reflect real mathematical research workflows and often demand both theoretical insight and practical programming skills. What you will do Create original computational mathematics problems that mirror authentic research challenges. Develop problems that require Python programming solutions, using libraries such as Numpy, SciPy, and Sympy. Design problems that are computationally intensive, taking days or weeks to solve manually. Focus on advanced areas like number theory, combinatorics, graph theory, and numerical analysis. Base problems on real-world research or practical mathematical applications. Validate solutions using Python and standard mathematical libraries. Document problem statements clearly and provide verified, accurate solutions. Requirements Degree in Mathematics (Pure or Applied) or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also considered. At least 2 years of professional experience in applied mathematics, research, or teaching. Background in numerical methods and symbolic computation. Ability to design problems that simulate real mathematical research workflows. Knowledge of computational complexity theory. Strong written English skills at C1 level or higher. Process overview Application steps include: Apply, pass qualifications, join a project, complete assigned tasks, and receive compensation. Time commitment During active project phases, tasks typically require 10–20 hours per week. This is an estimate and may vary depending on project needs. Compensation Contributors can earn up to $10 per hour, depending on expertise and pace. Actual compensation may vary by project based on scope, complexity, and required skills. Other projects on the platform may offer different earning rates.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift connects talented specialists with project-based opportunities in AI for top technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not lead to permanent employment.Opportunity OverviewWhile each project presents distinct challenges, contributors may be tasked with:Designing innovative computational engineering problems that replicate real-world engineering processes;Creating challenges that necessitate Python programming to perform engineering calculations and simulations;Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;Developing scenarios involving system design, optimization, and analytical processes;Formulating problems based on authentic research challenges or practical applications from engineering practice;Validating solutions using Python with established engineering libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThis position is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. The preferred candidates will possess:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, which can include applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Application ProcessApply → Meet qualifications → Join a project → Complete tasks → Receive payment.Project ExpectationsFor this opportunity, tasks are estimated to require approximately 10–20 hours per week during active phases, subject to project demands. This is a guideline and does not guarantee a fixed workload.CompensationContributors can earn up to $9 per hour, contingent on their experience and contribution pace. Compensation varies across projects depending on their scope, complexity, and required expertise. Note that other projects on the platform may offer different compensation levels based on their specific requirements.

Toloka AI is seeking a Freelance AI Trainer with strong knowledge in both Biology and Python. This remote position is open to candidates based in Metro Manila, Philippines. Role overview This role centers on creating and delivering training programs that connect artificial intelligence concepts with biological sciences. The aim is to help learners deepen their theoretical understanding and build practical skills using Python in biological contexts. What you will do Design educational materials that integrate AI and biology topics Lead training sessions focused on applying Python in biological research and analysis Support learners as they develop both conceptual and hands-on abilities in AI for biology Requirements Expertise in Biology Proficiency in Python Ability to teach and communicate complex topics clearly

We invite you to submit your CV in English, detailing your English proficiency level.At Mindrift, we connect talented specialists with exciting project-based opportunities in the AI sector, collaborating with leading tech companies to enhance, evaluate, and optimize AI systems. Please note that participation is on a project basis and does not constitute permanent employment.What This Role Involves:Contributors will engage in various unique tasks across different projects, including:Creating original computational statistics problems that reflect real-world mathematical research processes;Developing Python-based solutions for complex problems utilizing libraries such as Numpy, SciPy, and Sympy;Designing challenges that are computationally intensive and cannot be solved manually within a reasonable timeframe;Formulating questions that involve sophisticated reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;Drawing upon genuine research dilemmas or practical applications relevant to mathematical practices;Validating solutions using Python and standard mathematical libraries;Clearly documenting problem statements and providing verified, correct solutions.Qualifications We Seek:This position is ideal for professionals in statistics with Python expertise who are interested in part-time, non-permanent projects. The ideal candidate will possess:A degree in Statistics or a related field;Proficiency in Python for numerical verification; experience 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 statistics, research, or teaching;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS, CAP) and experience in international or applied projects are advantageous.Process Overview:To start, apply → pass qualifications → join a project → complete tasks → receive compensation.Project Commitment:During active phases, contributors can expect to dedicate approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors have the potential to earn up to $11 per hour, depending on their level of expertise and contribution speed. Compensation varies by project based on its scope, complexity, and required skills. Please be aware that different projects on our platform may offer varying earning rates depending on their specific needs.

Mindrift connects skilled professionals with project-based roles focused on advancing AI systems for leading technology companies. This freelance position centers on developing and validating computational chemistry problems using Python. The engagement is remote, based in Metro Manila, Philippines, and is not a permanent role. What you will do Design computational chemistry problems that reflect real research workflows and practical applications. Develop problem sets that require Python solutions, using libraries such as NumPy, SciPy, and chemical toolkits. Create complex, computationally intensive challenges that cannot be solved manually within days or weeks. Formulate problems involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Validate solutions using Python and standard computational chemistry techniques. Document each problem clearly and provide verified, accurate 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 similar languages is also considered. Minimum of 2 years in applied chemistry, research, or teaching. Experience with numerical methods in chemistry. Understanding of computational chemistry concepts and methodologies. Strong written English skills at C1 level or higher. Project details This is a part-time, project-based commitment. During active project phases, expect to contribute approximately 10–20 hours per week. Actual workload may vary and is not guaranteed. Compensation Contributors may earn up to $10 per hour, depending on expertise and task completion speed. Pay rates vary by project scope, complexity, and required skills. Application process To get started: Apply, pass the qualifications, join a project, complete assigned tasks, and receive payment. Please submit your CV in English and indicate your English proficiency level clearly.

We invite you to submit your resume in English, including your level of proficiency in the language.Mindrift is at the forefront of connecting talented specialists with project-based AI opportunities from leading technology firms, with a focus on testing, evaluating, and enhancing AI systems. Please note that participation in these projects is on a temporary basis, not permanent employment.Role OverviewEach project presents distinct tasks, and contributors may be involved in:Crafting original computational engineering challenges that replicate authentic engineering workflows;Formulating problems that necessitate Python programming for engineering computations and simulations;Ensuring challenges are computationally demanding, utilizing numerical methods or iterative solutions;Designing problems centered on system design, optimization, and analysis;Developing tasks based on actual research challenges or practical applications within the engineering domain;Validating solutions through Python using standard engineering libraries;Providing clear documentation of problem statements along with verified correct solutions.Ideal Candidate ProfileThis opportunity is well-suited for engineers experienced in Python, interested in part-time, non-permanent projects. The ideal candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages;Over 2 years of professional experience, whether in applied, research, or instructional roles;A firm grasp of practical engineering constraints and approximations;Strong English writing skills (C1+);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are favored.Application ProcessTo apply, follow these steps: Submit your application → Complete qualifications → Join a project → Execute tasks → Receive payment.Project CommitmentFor this role, tasks are expected to require approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimate and not a guaranteed workload, applicable only during active project phases.CompensationContributors can earn up to $9 per hour, based on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please note that different projects may offer varying earning levels based on their specific needs.

Please submit your CV in English and include your proficiency level. Toloka AI, together with Mindrift, offers freelance, project-based work for experienced professionals in material science and engineering. This remote role focuses on evaluating, testing, and helping to improve AI systems for leading technology companies. The position is not permanent and is structured around specific projects. What you will do Create original material engineering problems that mirror real engineering workflows Develop challenges that require Python programming for calculations and simulations Design computationally intensive problems using numerical methods or iterative solutions Formulate questions related to system design, optimization, and analysis Base scenarios on real research challenges or practical engineering cases Validate solutions using Python and standard engineering libraries Document problem statements clearly and provide verified, correct answers 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 valued At least 2 years of professional experience (applied, research, or teaching) Strong understanding of practical engineering constraints and approximations Excellent written English skills (C1 level or above) Project structure and time commitment This is a part-time, project-based role. Tasks typically require 10–20 hours per week during active phases, but actual workload may vary depending on project needs. The estimate does not guarantee a set number of hours. Compensation Earnings can reach up to $10 per hour, depending on level and pace. Pay rates vary by project based on scope, complexity, and required expertise. Other opportunities on the platform may offer different compensation. How to apply Submit your application Pass qualification(s) Join a project Complete assigned tasks Receive payment Location: Remote , Metro Manila, Philippines Note: This is a freelance, non-permanent opportunity.

We invite you to submit your CV in English, specifying your proficiency in the language.At Mindrift, we bridge the gap between skilled professionals and project-based AI opportunities with leading technology firms. Our focus is on enhancing, testing, and evaluating AI systems. Please note that this is a project-based role and not a permanent position.What You'll Be DoingThe scope of each project varies, but typical tasks may include:Creating innovative material engineering problems that mimic real-world engineering workflows;Developing problems that require Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive, utilizing numerical methods or iterative solutions;Constructing problems related to system design, optimization, and analysis;Formulating problems based on genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing confirmed correct answers.Who We Are Looking ForThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; alternatives such as MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries will also be considered;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 level or higher).How the Process WorksApplication → Qualification Assessment → Project Engagement → Task Completion → PaymentExpected Project CommitmentFor this role, tasks are anticipated to require between 10 to 20 hours a week during active project phases, based on specific project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $10 per hour, depending on expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and the required skill set.

We invite you to submit your CV in English, specifying your level of English proficiency.Mindrift is a pioneering platform that connects talented specialists with project-based AI opportunities in collaboration with leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewEach project presents unique challenges; contributors may be involved in the following activities:Crafting original computational physics problems that emulate real-world physics research workflows;Developing challenges that necessitate Python programming solutions utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring that problems are computationally intensive and not solvable manually within practical timeframes (days/weeks);Creating scenarios that require complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing upon genuine research dilemmas or real-world applications from the field of physics;Validating solutions through Python using established physics simulation libraries;Clearly documenting problem statements and providing verified, accurate solutions.Ideal Candidate ProfileThis opportunity suits physicists with Python expertise looking for part-time, non-permanent engagements. We seek individuals who 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 similar programming languages also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;Experience with numerical simulation methods;The ability to design problems reflecting authentic physics research workflows;Creative problem-solving skills across various physics domains;A strong grasp of physics modeling and approximation techniques;Exceptional written English skills (C1+ level).Application ProcessApply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject Engagement DetailsFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent on project requirements. This is an estimation and not a guaranteed workload.Compensation StructureContributors can earn up to $10 per hour, influenced by their expertise and contribution pace. Compensation varies between projects, reflecting the scope, complexity, and level of expertise required. Please be aware that other projects on the platform may offer distinct earning rates based on their specifications.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform that connects talented specialists with exciting project-based AI opportunities at leading tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the RoleEach project presents unique challenges, and contributors will have the opportunity to:Design innovative computational physics problems that reflect authentic physics research workflows;Develop problems that necessitate Python programming for solution (utilizing libraries such as Numpy, SciPy, and Sympy);Create computationally intensive challenges that require complex reasoning, particularly in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base their problems on real-world research issues or practical applications in the field of physics;Verify solutions using Python and established physics simulation libraries;Clearly document problem statements and provide validated solutions.Qualifications We SeekThis opportunity is ideal for physicists with Python experience who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;Familiarity with numerical simulation methods;A knack for designing problems that simulate genuine physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1 or higher).Application ProcessInterested candidates can apply by submitting their CV, passing the necessary qualifications, and joining a project where they will complete tasks and receive compensation.Project Time CommitmentTasks for this project are expected to require approximately 10–20 hours per week during active phases, contingent upon project requirements. This is an estimate and not a guaranteed workload.Compensation StructureContributors can earn up to $10 per hour, based on their expertise and contribution pace. Compensation may vary based on the project’s scope, complexity, and required expertise. Be aware that other projects may offer different compensation levels.

We invite you to submit your CV in English, including your level of English proficiency.At Mindrift, we specialize in connecting brilliant minds with project-based AI opportunities for top tech companies, with a strong focus on testing, evaluating, and enhancing AI systems. Please note that involvement in these projects is temporary and not permanent employment.Project Overview:Each project presents unique challenges, with contributors expected to:Craft original computational physics problems that replicate authentic physics research workflows.Develop problems that necessitate Python programming (utilizing Numpy, SciPy, Sympy) for resolution.Ensure that challenges are computationally intensive, requiring days or weeks to solve manually.Formulate problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base scenarios on genuine research challenges or real-world applications from the field of physics.Validate solutions using Python and standard physics simulation libraries.Clearly document problem statements and provide verified correct answers.Qualifications:This opportunity is ideal for quantum researchers experienced in Python who are open to part-time, temporary projects. We are particularly looking for candidates who 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 programming language is acceptable.A minimum of 2 years of professional experience in applied research or teaching.Experience with numerical simulation techniques.The ability to create problems that accurately reflect real physics research workflows.Innovative thinking in problem design across various physics domains.Knowledge of physics modeling and approximation methods.Strong command of written English (C1 level or higher).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time Commitment:For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and does not guarantee a specific workload outside of project activity.Compensation:Contributors can earn up to $10 per hour, based on their level of expertise and contribution speed. Compensation varies across projects based on their scope, complexity, and required expertise.

We invite you to submit your CV in English, including your English proficiency level.At Mindrift, we connect talented professionals with exciting project-based AI roles at top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and not a permanent employment opportunity.Role OverviewEach project presents unique challenges, and contributors may be responsible for:Designing original computational physics problems that reflect authentic physics research workflows;Creating Python-based problem-solving tasks utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring that problems are computationally intensive and cannot be resolved manually within practical timeframes;Formulating problems that necessitate complex reasoning in areas like mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in authentic research challenges or practical applications from the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThis role is ideal for optical engineers with Python experience who seek part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or equivalent programming skills;A minimum of 2 years of professional experience, which can include applied, research, or teaching roles;Experience with numerical simulation methods;Capability to design problems that mirror real physics research workflows;Creative problem design across diverse physics disciplines;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+).How to Get InvolvedSteps to participate: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, based on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $10 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required expertise.

Are you a passionate materials science expert ready to influence the future of artificial intelligence? As large-scale language models transition from basic chatbots to robust tools for scientific exploration, your role is pivotal. High-quality training data is essential for these advancements, and your expertise will help shape AI into a catalyst for world-class education, accelerate cutting-edge research, and optimize laboratory workflows for scientists everywhere. We are seeking specialists in materials science and engineering who are well-versed in areas such as crystallography, thermomechanical processing, nanomaterials, polymer science, electronic materials, biomaterials, corrosion science, and composite development. In this role, you will engage with advanced language models to discuss phase transformations, microstructure-property relationships, materials characterization techniques (such as XRD, SEM, TEM), thermal analysis, additive manufacturing, materials failure analysis, and sustainability in materials engineering. Your documentation of failure modes will enhance the model's reasoning capabilities. On a typical day, you will interact with the model regarding laboratory scenarios and theoretical materials science inquiries, verify factual accuracy and logical reasoning, capture reproducible error traces, and provide suggestions for refining our prompt engineering and evaluation metrics. A PhD in materials science, materials engineering, or a related physical science field is preferred. Experience with peer-reviewed publications, lab-based testing, product design utilizing advanced materials, or applied research will demonstrate your suitability. Exceptional communication skills—especially in articulating your thought processes—are essential. Are you ready to transform your materials science expertise into the foundation for tomorrow’s AI? Apply today and begin teaching the model that will educate the world.

Are you a mechanical engineering aficionado eager to influence the trajectory of artificial intelligence? As large-scale language models transition from simple chatbots to robust engines of scientific discovery, your expertise is crucial in shaping their development. With high-quality training data, the next generation of AI has the potential to democratize world-class education, keep pace with cutting-edge research, and enhance technical workflows for engineers globally. This is where you come in—we seek your specialized knowledge to help fuel the future of AI. We are searching for mechanical engineering specialists whose passions include thermodynamics, fluid mechanics, heat transfer, dynamics and vibrations, solid mechanics, control systems, finite element analysis, and mechanical design. You will engage with advanced language models on in-depth subjects such as stress-strain analysis, HVAC systems, machine kinematics, materials selection, energy systems, manufacturing processes, and computational simulations—carefully documenting every failure mode to bolster model reasoning. On any given day, you will interact with the model on engineering scenarios and theoretical mechanical engineering questions, verify factual accuracy and logical coherence, document reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics. A PhD in mechanical engineering or a closely related field is preferred; evidence of peer-reviewed publications, CAD/CAE project experience, system design work, or applied research in mechanical systems is highly regarded. Clear, metacognitive communication—“showing your work”—is essential. Are you ready to transform your mechanical engineering prowess into a knowledge base for tomorrow's AI? Apply today and contribute to training the model that will educate the world.

Are you an electrical engineering professional passionate about influencing the future of artificial intelligence? As large-scale language models transition from basic chatbots to robust engines of scientific innovation, we are looking for your expertise to help shape the next generation of AI. With high-quality training data, we aim to democratize education, keep up with cutting-edge research, and enhance engineering processes globally. We seek specialists in electrical engineering who are deeply knowledgeable in areas such as circuit design, signal processing, electromagnetics, power systems, control theory, embedded systems, semiconductor devices, and communications engineering. You will engage with advanced language models on complex topics including analog and digital circuit analysis, PCB design, Fourier and Laplace transforms, microcontroller architecture, power electronics, wireless communication protocols, and real-time system integration—documenting any failures to strengthen model reasoning. On a typical day, you will interact with the model regarding design scenarios and theoretical electrical engineering challenges, verify factual accuracy and logical consistency, capture reproducible error traces, and recommend enhancements to our prompt engineering and evaluation metrics. A PhD in electrical engineering or a closely related field is preferred; peer-reviewed publications, practical hardware design experience, or involvement in applied control systems or communications projects are highly regarded. Clear, metacognitive communication—“showing your work”—is essential. Ready to leverage your electrical engineering expertise to build tomorrow’s AI knowledge base? Apply today and contribute to the model that will educate the world.

Are you a nuclear engineering authority ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to dynamic engines of scientific inquiry, your expertise is crucial. By providing high-quality training data, we aim to democratize top-notch education, keep pace with cutting-edge research, and enhance laboratory processes for scientists globally. Your involvement is the catalyst for the next wave of AI innovation. We seek nuclear engineering specialists who are deeply knowledgeable in reactor physics, radiation transport, nuclear fuel cycle analysis, thermal hydraulics, reactor safety, nuclear materials, radiation shielding, and nuclear instrumentation. You will engage with advanced language models on complex subjects such as neutron moderation, reactor core design, radiation detection methods, nuclear waste management, probabilistic risk assessment, and nuclear system modeling—meticulously documenting each failure mode to strengthen model reasoning. In your daily activities, you will discuss reactor operation scenarios and theoretical nuclear engineering inquiries with the model, verify its factual accuracy and logical integrity, capture reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics. A Master's degree or PhD in nuclear engineering or a related discipline is preferred; relevant peer-reviewed publications, hands-on reactor research experience, familiarity with nuclear facilities, or computational modeling projects are indicators of a strong fit. Exceptional metacognitive communication skills—demonstrating your thought process—are essential. Are you prepared to transform your nuclear engineering proficiency into the foundational knowledge for tomorrow’s AI? Apply today and begin mentoring the model that will educate the world. We offer an hourly pay range of $8 to $65, with the specific rate determined based on your experience, expertise, and geographic location. Please note that final offer amounts may vary from the stated pay range. As a contractor, you will need to provide a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Mindrift connects talented specialists with innovative, project-based opportunities in artificial intelligence for top tech companies. We focus on enhancing, testing, and evaluating AI systems, offering a flexible work environment that prioritizes project-based contributions over permanent employment.About the RoleAs a Procurement & Supply Chain Expert, you will leverage your extensive hands-on experience to craft realistic disruption scenarios, outline expected outcomes, develop mitigation strategies, and critically assess AI-generated recommendations for their accuracy and business relevance.What This Opportunity InvolvesWhile each project presents its unique challenges, your responsibilities may include:Designing realistic supply chain disruption scenarios, such as supplier delays, quantity changes, logistics complications, and quality failures based on practical manufacturing and procurement insights.Defining anticipated outcomes and suitable mitigation strategies for each crafted scenario.Evaluating AI-generated insights and recommendations in alignment with real-world business logic.Assessing outputs for accuracy, completeness, and relevance within various ERP environments (notably Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)).Contributing to the creation and validation of structured data according to established guidelines and frameworks.What We Are Looking ForA minimum of 4 years of practical experience in procurement, supply chain management, or purchasing, preferably within a manufacturing setting.A comprehensive understanding of procurement workflows, including purchase orders, vendor management, inventory control, and production planning.Proficient hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.A proven track record of designing and analyzing supply chain disruption scenarios and effective mitigation strategies.A solid grasp of various disruption types: delays, shortages, quality issues, and logistical challenges.Familiarity with Incoterms and logistics management principles.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 ratings.An analytical mindset with the capability to evaluate AI outputs against real-world business logic.Experience in data validation, structured data entry, or annotation tasks.Excellent written communication skills in English.How It WorksApply, pass qualifications, join a project, complete tasks, and get paid.Project Time ExpectationsThis project requires an estimated commitment of 10-20 hours per week during active phases, based on the project requirements. Note that this is an estimate and not a guaranteed workload.CompensationContributors can earn up to $50 per hour, depending on their expertise and experience.

Are you a structural engineering aficionado ready to influence the future of artificial intelligence? Large-scale language models are advancing from being simple chatbots to becoming robust engines of scientific innovation. By supplying high-quality training data, we can empower AI to democratize world-class education, stay aligned with the latest research, and enhance technical workflows for engineers globally. Your expertise is vital to fuel the next generation of AI. We are seeking structural engineering specialists who possess a deep understanding of structural analysis, materials science, reinforced concrete design, steel structures, earthquake engineering, bridge design, and finite element modeling. You will engage with advanced language models on intricate topics such as load path analysis, shear and moment calculations, structural dynamics, building code interpretation, stability of structures, failure mechanics, and seismic load modeling. Documenting every failure mode will help us strengthen the model’s reasoning capabilities. On an average day, you will interact with the model on design scenarios and theoretical structural engineering inquiries, ensuring factual accuracy and logical integrity, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. A PhD in structural engineering or a closely related field is highly preferred; peer-reviewed publications, field inspections, building information modeling (BIM), or experience with large-scale structural design projects will be considered advantageous. Effective, clear communication—demonstrating your thought process—is essential. Are you ready to convert your structural engineering expertise into the foundational knowledge for tomorrow’s AI? Apply today and start educating the model that will educate the world. We offer a competitive hourly pay range of $8 to $65, with the specific rate determined based on your experience, expertise, and geographic location. Please note that final compensation may vary from the listed range. As a contractor, you will need to provide a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Are you a synthetic chemistry expert ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to groundbreaking tools for scientific exploration, your expertise in synthetic chemistry is crucial. High-quality training data is essential for shaping AI that can democratize top-tier education, align with cutting-edge research, and enhance laboratory efficiency for scientists worldwide. This is where you come in—we need your specialized knowledge to contribute to the next generation of AI. We are seeking synthetic chemistry specialists who are passionate about organic synthesis, reaction mechanism design, stereochemistry, retrosynthetic analysis, organometallic chemistry, heterocyclic chemistry, catalysis, and structure–activity relationships. Your role will involve engaging with advanced language models on complex topics such as multi-step synthesis planning, protecting group strategies, asymmetric catalysis, reagent selection, total synthesis of natural products, reaction optimization, and functional group transformations—documenting failures to strengthen model reasoning. On a typical day, you will engage with the model on synthetic pathways and theoretical chemistry questions, ensuring factual accuracy and logical consistency, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. A PhD in chemistry or a closely related physical or life-science discipline is preferred; a history of peer-reviewed publications, hands-on laboratory synthesis experience, or involvement in applied chemical development projects will indicate a strong fit. Clear, metacognitive communication—demonstrating your thought process—is vital. Are you ready to transform your synthetic chemistry expertise into the foundation for tomorrow’s AI? Apply now to start teaching the model that will educate the world. We offer a pay range of $8 to $65 per hour, with the final rate determined based on your experience, expertise, and geographic location. As a contractor, you will need to provide a secure computer and high-speed internet; note that company-sponsored benefits such as health insurance and paid time off are not included.