Biology & Python Expert - Freelance AI Trainer

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 p…

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.

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 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.

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.

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, 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 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.

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.

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 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.

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 feedback Collaborate with others to develop materials that support language understanding in AI Location This is a remote position open to candidates based in 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

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 passionate and skilled Filipino language expert eager to play a pivotal role in shaping the future of artificial intelligence? As large-scale language models rapidly evolve into sophisticated tools for learning, communication, and cultural understanding, your expertise is crucial in providing high-quality training data. This data will enhance AI capabilities, enabling it to deliver more natural, accurate, and contextually rich Filipino experiences across various sectors including education, accessibility, and global communication.We are seeking a detail-oriented and experienced Filipino language specialist who can infuse linguistic depth, cultural context, and precision into training datasets. You will engage with cutting-edge AI technologies, evaluate and refine Filipino text outputs, and offer expert feedback on grammar, syntax, semantics, style, and cultural relevance to improve model performance.In this role, you will typically review and annotate Filipino content, assess AI-generated outputs for accuracy and fluency, identify and document error patterns, and collaborate with our team to enhance prompts, evaluation methods, and linguistic guidelines.Fluency in Filipino is essential, along with proven experience in translation, linguistics, language instruction, editing, or related professional fields. Experience in training, coaching, or linguistic annotation is an advantage. Strong communication skills, cultural awareness, and meticulous attention to detail are imperative.If you are ready to leverage your Filipino language expertise to contribute to the AI tools of the future, we invite you to apply today and help shape the models that will support millions of Filipino speakers worldwide.

Are you a passionate Tagalog language expert eager to influence the future of artificial intelligence? As large-scale language models evolve from simple chatbots into groundbreaking tools for linguistic exploration, your expertise is essential. By providing high-quality training data, we can empower AI to democratize top-tier education, stay aligned with pioneering research, and enhance communication for Tagalog speakers globally. Your knowledge will serve as the foundation for the next generation of AI. We are seeking Tagalog language specialists who possess an in-depth understanding of Tagalog grammar, syntax, morphology, spelling, phonology, and pragmatics. You will engage with advanced language models, tackling subjects such as verb focus and aspect, sentence structure, enclitics, and the distinctions between formal and informal registers, as well as regional dialects and the subtleties of the Tagalog writing system. Thorough documentation of any identified failures will be crucial to refining model reasoning. On a typical day, your responsibilities will include conversing with the model about various language scenarios, verifying factual accuracy and logical coherence, capturing reproducible error traces, and recommending enhancements to our prompt engineering and evaluation metrics. A Master's degree or PhD in Tagalog language, linguistics, or a related field is preferred. Experience with peer-reviewed publications, teaching, or practical linguistic analysis projects will be considered advantageous. Exceptional metacognitive communication skills—demonstrating your thought process—are vital. Are you ready to leverage your Tagalog language expertise to contribute to the AI knowledge base of the future? Apply today and help train the model that will educate the world. We offer a competitive pay range of $8 to $65 per hour, with the specific rate determined based on your experience, expertise, and geographical location. Note that final offer amounts may vary from the listed 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.