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Experience Level
Experience
Qualifications
Proven experience in civil engineering and Python programming. Strong analytical and problem-solving skills. Ability to communicate complex technical concepts clearly. Passion for artificial intelligence and its applications in engineering. Self-motivated and capable of working independently in a remote setting.
About the job
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 domain knowledge, offering a blend of engineering and software tasks.
What you will do
Apply civil engineering experience and Python programming to support AI model development.
Work on assignments that require both subject matter expertise and coding ability.
Who succeeds in this role
Engineers who like to use their practical knowledge in technology-driven projects.
People who are comfortable working independently on freelance assignments.
Those interested in the overlap between engineering and artificial intelligence.
Location
This is a remote role for candidates based in Metro Manila, Philippines.
About toloka-ai
toloka-ai is at the forefront of artificial intelligence innovation, developing solutions that enhance various industries. Our team is composed of forward-thinking professionals dedicated to pushing the boundaries of technology and engineering. Join us as we shape the future of AI.
Contract|Remote|Remote — Metro Manila, Philippines
Toloka AI seeks a Freelance English Writer & AI Trainer to join its team remotely from Metro Manila, Philippines. This role centers on producing and refining content that helps train artificial intelligence systems. Main responsibilities Create clear, well-written English text for use in AI training Review AI-generated writing and provide constructive feedba…
Part-time|$9/hr - $9/hr|Remote|Remote — Metro Manila, Philippines
Please submit your resume in English and include your proficiency level. Toloka offers freelance online tasks that help develop and improve artificial intelligence. Learn more at https://toloka.ai/. Role overview The Freelance AI Trainer - English Annotator role focuses on supporting AI systems by helping them interpret and understand information. Typical assignments may involve evaluating AI-generated content, checking for factual accuracy, or analyzing responses. Projects become available as they launch and are matched to your profile and availability. Main responsibilities Review data, which may include text, images, or videos, with care and accuracy. Label or categorize content based on detailed project guidelines. Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear. Note: This is project-based freelance work. Tasks are only available when projects are active. Participation depends on your profile and current opportunities. Compensation varies by project. For this role, AI trainers can earn up to $9 per hour. Requirements Bachelor’s degree in any field At least 1 year of professional experience Advanced English proficiency (C1 or higher), both written and spoken Strong logical reasoning, fact-checking, and analytical skills Attention to detail and ability to follow complex instructions Clear communication skills, including asking clarifying questions when needed Interest in technology and artificial intelligence Benefits Flexible, part-time freelance work that can fit around other professional or academic commitments Hands-on experience with AI projects to strengthen your portfolio Direct impact on the development of AI models in your area of expertise Location Remote , Metro Manila, Philippines
Contract|Remote|Remote — Metro Manila, Philippines
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
Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines
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.
Contract|Remote|Remote — Metro Manila, Philippines
Role overview Toloka AI is looking for a Freelance Junior Journalist to join its AI training projects. This remote role, open to candidates in Metro Manila, centers on writing content that supports the development of artificial intelligence systems. Assignments involve explaining how AI functions and highlighting effective ways to use it. What you will do Write and edit materials for AI training programs Contribute to projects that aim to improve understanding and use of AI Collaborate with a team dedicated to advancing AI technology Requirements Interest in both journalism and artificial intelligence Strong writing abilities Comfort working independently in a remote environment Reside in Metro Manila, Philippines Benefits Flexible remote work arrangement Opportunities to develop skills in journalism and AI Participate in projects that connect technology and communication
Part-time|$11/hr - $11/hr|Remote|Remote — Metro Manila, Philippines
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.
Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines
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.
Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines
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.
Contract|$50/hr - $50/hr|Remote|Remote — Metro Manila, Philippines
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.
Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines
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.
Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines
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.
Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines
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.
Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines
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.
Contract|Remote|Remote — Metro Manila, Philippines
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 domain knowledge, offering a blend of engineering and software tasks. What you will do Apply civil engineering experience and Python programming to support AI model development. Work on assignments that require both subject matter expertise and coding ability. Who succeeds in this role Engineers who like to use their practical knowledge in technology-driven projects. People who are comfortable working independently on freelance assignments. Those interested in the overlap between engineering and artificial intelligence. Location This is a remote role for candidates based in Metro Manila, Philippines.
Contract|$50/hr - $50/hr|Remote|Remote — Metro Manila, Philippines
Mindrift offers project-based work for professionals with supply chain and procurement expertise. The team partners with technology companies to test and refine AI systems, focusing on practical challenges in supply chain management. This contract role is remote and based in Metro Manila, Philippines. Please note: this is not a permanent employment position. Role overview This freelance consultant position centers on designing realistic supply chain disruption scenarios and defining their expected outcomes. The work involves reviewing AI-generated recommendations to ensure they reflect sound business logic and practical supply chain considerations. What you will do Create practical disruption scenarios, such as supplier delays, quantity changes, logistics challenges, and quality failures, drawing on real-world manufacturing and procurement experience. Define expected outcomes for each scenario and suggest effective mitigation strategies. Critically review AI-generated recommendations for alignment with established business logic. Evaluate the accuracy, completeness, and relevance of outputs, especially in the context of ERP systems like Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Assist with structured data creation and validation, following provided guidelines and frameworks.
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 a passionate expert in organic and inorganic chemistry looking to influence the evolution of artificial intelligence? Join us in this exciting freelance project where your expertise will help shape large-scale language models into groundbreaking tools for scientific advancement. With the right training data, tomorrow's AI can provide top-tier education, stay in sync with innovative research, and enhance laboratory efficiency for scientists worldwide. Your knowledge is critical to powering the next generation of AI. We are seeking dedicated specialists in organic and inorganic chemistry who have a deep understanding of reaction mechanisms, coordination chemistry, stereoselective synthesis, catalysis, main group chemistry, ligand design, redox chemistry, crystal field theory, and spectroscopy. You will engage with advanced language models on intricate subjects such as organometallic complexes, cross-coupling reactions, synthetic pathways, metal-ligand interactions, supramolecular assembly, as well as NMR and IR spectral interpretation. Your role will include documenting errors to refine the models’ reasoning. On a typical day, you will discuss chemical synthesis strategies and theoretical chemistry challenges with the model, verify factual accuracy and logical consistency, capture reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics. A PhD in chemistry or a related physical science field is preferred. Experience with peer-reviewed publications, laboratory synthesis, analysis, or applied chemical design projects will demonstrate your fit for this role. Effective metacognitive communication—actively “showing your work”—is essential. Are you ready to transform your organic/inorganic chemistry knowledge into the foundation for the AI of the future? Apply now and start contributing to the model that will educate the world.
Are you a seasoned expert in radiochemistry or nuclear chemistry looking to make a significant impact in the realm of artificial intelligence? As large-scale language models transition from basic chatbots to advanced tools for scientific innovation, your expertise is vital in creating high-quality training data. This data will help democratize access to premier education, stay aligned with groundbreaking research, and enhance laboratory efficiency for scientists globally. We invite you to leverage your knowledge to fuel the AI of tomorrow.We seek specialists who are passionate about topics including radioisotope production, radiochemical separations, nuclear decay schemes, radiotracer methodologies, radiation safety, nuclear fuel cycle chemistry, nuclear forensics, and radiopharmaceutical chemistry. You will engage with advanced language models to tackle concepts such as alpha, beta, and gamma spectroscopy, radionuclide labeling, radiochemical synthesis, and decay chain analysis. Your role will involve documenting challenges to strengthen the models’ reasoning capabilities.Your day-to-day activities will include conversing with the model on experimental scenarios, verifying the accuracy of information, capturing reproducible error data, and proposing enhancements to our prompt engineering and evaluation metrics.A PhD in radiochemistry, nuclear chemistry, or a closely related discipline is highly desirable. Candidates with peer-reviewed publications, practical lab experience, knowledge of nuclear facilities, or radiopharmaceutical research will be favored. Clear and thoughtful communication is essential, showcasing your methodologies and reasoning.If you are ready to transform your expertise in radiochemistry and nuclear chemistry into a foundational element for the next generation of AI, we encourage you to apply and help teach a model that will educate the world.We offer a competitive pay range of $8 to $65 per hour, with the final rate determined based on your experience and geographic location. As a contractor, you will need to provide a secure computer and high-speed internet; please note that company-sponsored benefits, including health insurance and PTO, do not apply.
Are you a passionate expert in drug discovery looking to influence the advancement of artificial intelligence? As large-scale language models transition from sophisticated chatbots to pivotal tools for scientific innovation, your knowledge can help shape this evolution. By providing high-quality training data, you can empower AI to deliver top-notch education, stay abreast of groundbreaking research, and enhance laboratory processes for scientists globally. Your expertise is crucial in creating the next generation of AI.We are seeking drug discovery specialists who excel in medicinal chemistry, pharmacology, high-throughput screening, target validation, ADMET profiling, lead optimization, molecular modeling, structure-based drug design, and translational research. In this role, you will engage with advanced language models on topics such as ligand–receptor interactions, pharmacokinetics, pharmacodynamics, in silico docking studies, assay development, chemical libraries, biomarker identification, and preclinical candidate evaluation—documenting challenges to strengthen model reasoning.On a typical day, you will discuss compound screening strategies and theoretical drug design, ensure factual accuracy and logical consistency, track reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics.A PhD in pharmaceutical sciences, chemistry, pharmacology, or a related life-science discipline is highly desirable; contributions to peer-reviewed publications, lab-based discovery research, or applied computational chemistry projects will demonstrate your compatibility with this role. Effective metacognitive communication—“showing your work”—is essential.Are you ready to transform your drug discovery expertise into a foundational knowledge base for the AI of tomorrow? Apply now to start 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.