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Qualifications
Extensive knowledge in Biology and Python programming. Proven experience in developing educational content or training programs. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Experience with AI technologies is a plus.
About the job
Toloka AI is seeking a Freelance AI Trainer with a strong background in biology and Python programming. This remote contract role is open to candidates based in Manitoba, Canada.
Role overview
This position centers on developing AI training programs that support learning in the biological sciences. The work blends subject matter expertise in biology with practical Python programming skills to create engaging educational content.
What you will do
Design training materials focused on biology and Python applications
Conduct workshops to facilitate learning and skill development
Collaborate with a multidisciplinary team to shape impactful educational experiences
Who will succeed
This role suits those who enjoy combining scientific knowledge with programming to support innovative AI projects. Experience in both biology and Python is essential.
About Toloka AI
Toloka AI is a leading company dedicated to revolutionizing the field of artificial intelligence. We focus on creating innovative solutions that enhance learning and improve user engagement through advanced AI technologies. Our collaborative and dynamic work environment encourages creativity and professional growth.
Toloka AI seeks a civil engineer with strong Python programming skills to join as a freelance AI trainer. This contract position is fully remote and open to candidates based in Manitoba, Canada. Role overview This role combines civil engineering expertise with Python development to support projects focused on training artificial intelligence systems. The pos…
Mindrift connects skilled professionals with project-based roles in AI development, focusing on testing, evaluating, and improving advanced AI systems. This freelance position is open to candidates based in Manitoba, Canada, and is not a permanent role. Role overview The Chemistry & Python Specialist will contribute to projects by designing and validating complex computational chemistry problems. Tasks emphasize real-world research scenarios and require strong analytical and programming abilities. Contributors play a key part in shaping AI systems used by leading technology firms. What you will do Create original computational chemistry problems that reflect authentic research workflows Develop programming challenges in Python, using libraries such as NumPy and SciPy Design tasks that are computationally intensive and require extended effort to solve Formulate problems involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling Base problem statements on real research challenges or practical chemistry applications Validate solutions using Python and established computational chemistry methods Document problem statements clearly and supply verified solutions Requirements Degree in Chemistry or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Pandas, SciPy, or domain-specific libraries is also considered At least 2 years of professional experience in applied, research, or teaching roles Expertise in numerical methods relevant to chemistry Strong understanding of computational chemistry principles and techniques Exceptional written English skills at C1 level or higher How projects work The process involves several steps: Application, Qualification, Project Assignment, Task Completion, and Payment. Each project phase may differ in scope and requirements. Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $35 per hour, depending on expertise and task completion speed. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different pay rates. Please submit your CV in English and indicate your level of English proficiency when applying.
We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be tasked with:Designing original computational engineering problems that reflect real-world engineering workflows;Creating problems that necessitate Python programming to perform engineering calculations and simulations;Ensuring the problems are computationally intensive and require numerical methods or iterative solutions;Developing problems centered on system design, optimization, and analysis;Creating challenges based on authentic research issues or practical applications from the engineering field;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is well-suited for engineers proficient in Python who are open to part-time, non-permanent projects. Ideally, candidates should possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessTo apply, follow these steps: Apply → Pass qualification checks → Join a project → Complete tasks → Get compensated.Project Time CommitmentDuring active phases, tasks are anticipated to require approximately 10-20 hours per week, depending on project needs. This estimate is not a guaranteed workload and is applicable only while the project is ongoing.CompensationContributors can earn up to $39 per hour, contingent on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Other projects on the platform may offer different earning opportunities based on their specific requirements.
We invite you to submit your resume in English and specify your proficiency level in the English language.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in the AI sector, collaborating with leading technology companies to test, evaluate, and enhance AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewAs a contributor, you will engage in various unique projects that may involve:Designing original computational engineering problems that accurately simulate real-world engineering workflows;Creating Python-based problems for solving engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Utilizing real research challenges or practical applications from engineering practice as the basis for problems;Verifying solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified answers.Qualifications We SeekThis role is ideal for engineers with Python expertise who are interested in part-time, non-permanent project work. We ideally seek candidates with:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or equivalent programming languages;At least 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process OverviewApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationProject Time CommitmentDuring active phases of the project, contributors can expect to commit approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors to this project have the potential to earn up to $39 per hour, contingent on their contribution level and pace. Please be aware that compensation may differ across different projects based on their scope, complexity, and required expertise.
This freelance, project-based role at Toloka AI (in partnership with Mindrift) focuses on developing and validating advanced mathematics problems for AI education. Work is remote from Manitoba, Canada, and all applications must include a resume in English along with your English proficiency level. Role overview Contributors design computational mathematics challenges that mirror real research workflows. Each project brings unique tasks, such as: Creating original mathematics problems that require significant computational effort (not solvable manually in a reasonable timeframe) Developing Python-based solutions using libraries like Numpy, SciPy, or Sympy Focusing on areas such as number theory, combinatorics, graph theory, and numerical analysis Basing problems on genuine research questions or real-world mathematical applications Validating solutions programmatically and documenting both problems and solutions clearly Requirements Degree in Mathematics (Pure or Applied) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar is also accepted At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems based on authentic mathematical research Understanding of computational complexity theory Excellent written English (C1 level or higher) Project commitment Projects typically require an estimated 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors can earn up to $35 per hour, depending on the project’s complexity, scope, and your contribution. Rates may differ for other projects on the platform. Application process Apply with your resume and English proficiency Pass qualification steps Join a project Complete assigned tasks Receive payment This is a non-permanent, part-time opportunity for mathematicians with Python expertise interested in project-based AI education work.
Please submit your CV in English and indicate your level of English proficiency.Mindrift is dedicated to linking talented specialists with innovative project-based opportunities in AI for top-tier technology companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based engagement and does not constitute permanent employment.Opportunity OverviewEach project presents a variety of unique tasks that contributors may undertake, including:Creating original materials that simulate authentic engineering workflows;Formulating engineering problems that necessitate Python programming for simulations and calculations;Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges around system design, optimization, and analysis;Designing problems based on real-world research challenges or practical applications from the field;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Qualifications and Skills RequiredThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent work arrangements. The ideal candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written communication skills in English (C1+ level).How the Process WorksApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationExpected Project CommitmentThis project anticipates a commitment of approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.Compensation DetailsContributors can earn up to $35 per hour, subject to their expertise and contribution pace. Please note that compensation may vary significantly across different projects based on their complexity and scope.
We invite you to submit your CV in English, along with your English proficiency level.Mindrift connects talented specialists with exciting, project-based AI opportunities at leading technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement and does not constitute permanent employment.What This Role EntailsContributors will engage in diverse tasks that may include:Designing innovative computational statistics problems that replicate authentic mathematical research workflows;Developing problems that require Python programming to solve, utilizing libraries such as Numpy, SciPy, and Sympy;Creating computationally intensive problems that cannot be manually solved within a reasonable timeframe (days or weeks);Formulating problems that necessitate non-trivial reasoning across various mathematical domains, including number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real research challenges or practical scenarios from the field of mathematics;Validating solutions using Python and established mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Desired QualificationsThis opportunity is ideal for statistics experts with Python experience seeking part-time, non-permanent project roles. The ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language can be considered equivalent;At least 2 years of professional experience in applied statistics, research, or teaching;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete the assigned tasks, and receive payment.Project Time CommitmentDuring active phases, tasks for this project are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and may vary based on the active project requirements.CompensationContributors can earn up to $38 per hour, contingent on their level of expertise and contribution pace. Compensation may differ across projects based on their scope, complexity, and required expertise. Please be aware that other projects on the platform may offer varying earning levels based on specific requirements.
Please submit your CV in English and indicate your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. The focus is on assessing, evaluating, and improving AI systems. All positions are project-based and do not offer permanent employment. Role overview This freelance, remote position is available to candidates based in Manitoba, Canada. Material scientists with strong Python expertise will design and validate engineering challenges for AI projects. The work centers on creating realistic problems and ensuring solutions are accurate and practical. Main responsibilities Develop materials engineering problems that reflect real-world processes Create tasks requiring Python programming for calculations and simulations Ensure problems involve computational complexity, such as numerical methods or iterative solutions Design challenges focused on system design, optimization, and analysis Base problems on authentic research or practical engineering scenarios Validate all solutions using Python and standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or teaching Solid understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Project commitment Expect to contribute roughly 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. This estimate applies only during active phases and does not guarantee a set number of hours. Compensation Earn up to $35 per hour, depending on contribution and pace. Compensation may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different rates depending on their needs. Application process Apply Meet qualifications Join a project Complete assigned tasks Receive compensation
Toloka AI is seeking a Freelance AI Trainer with a strong background in biology and Python programming. This remote contract role is open to candidates based in Manitoba, Canada. Role overview This position centers on developing AI training programs that support learning in the biological sciences. The work blends subject matter expertise in biology with practical Python programming skills to create engaging educational content. What you will do Design training materials focused on biology and Python applications Conduct workshops to facilitate learning and skill development Collaborate with a multidisciplinary team to shape impactful educational experiences Who will succeed This role suits those who enjoy combining scientific knowledge with programming to support innovative AI projects. Experience in both biology and Python is essential.
We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented professionals with exciting, project-based AI opportunities for prestigious technology companies. Our focus is on evaluating, testing, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the Role:Each project presents unique challenges, and as a contributor, you will:Design innovative computational physics problems that replicate authentic physics research workflows.Develop problems necessitating Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy).Ensure the problems are computationally intense, requiring extensive time to solve (days or weeks).Create problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base problems on genuine research challenges or practical applications in physics.Verify solutions using Python and established physics simulation libraries.Clearly document problem statements and provide verified correct answers.Qualifications We Seek:This opportunity is ideal for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines.Proficiency in Python for numerical validation. Equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is acceptable.A minimum of 2 years of professional experience, which may include applied, research, or teaching roles.Familiarity with numerical simulation techniques.The ability to craft problems that accurately reflect real physics research workflows.Creative problem-solving skills across various physics domains.Knowledge of physics modeling and approximation methods.Excellent written English skills (C1+ level).How the Process Works:Apply → Complete qualifications → Join a project → Perform tasks → Receive payment.Project Commitment:The estimated workload for this project is approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and not a guaranteed workload.Compensation Details:Contributors may earn up to $35 per hour, contingent upon their contribution level and pace. Compensation varies by project and is influenced by the scope, complexity, and required expertise.
Please submit your CV in English, specifying your English proficiency level.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities across renowned tech companies, dedicated to the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis and does not constitute permanent employment.Project Involvement Includes:Designing innovative computational physics problems that emulate authentic research workflows;Creating problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and not solvable manually within practical timeframes (days/weeks);Developing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in real research challenges or practical applications from the field of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Desired Qualifications:This role is ideal for quantum researchers proficient in Python, seeking part-time, non-permanent project opportunities. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any specific programming language may be considered equivalent;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methodologies;Adeptness in designing problems that reflect genuine physics research workflows;Creative problem design skills spanning various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Time Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, varying with their contribution level and speed. Compensation may differ across projects depending on scope, complexity, and expertise required.
Please submit your CV in English and indicate your level of English proficiency.Mindrift empowers professionals by connecting them with exciting, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This engagement is strictly project-based and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may:Design innovative computational physics problems that replicate real-world physics research processes;Develop problems necessitating Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensure that problems are computationally intensive and cannot be resolved manually within a practical timeframe (days/weeks);Create challenges that demand complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research obstacles or practical applications within the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis role is ideally suited for optical engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Familiarity with numerical simulation methods;The capacity to design problems that align with real physics research workflows;Creative problem-solving skills across various areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+).How to Get InvolvedApply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project needs. This estimate is not a guaranteed workload and only applies while the project is active.Compensation DetailsContributors can earn up to $35 per hour, based on their expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skills. Note that other projects on the platform may offer varying earning potentials based on distinct requirements.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects experienced data scientists with contract-based AI projects for major tech companies. Work centers on testing, evaluating, and improving AI systems across a range of industries. This is a project-based contract, not a permanent role. Role overview The Freelance Data Scientist (Python & SQL) will design and validate complex computational problems that reflect real analytical workflows. Projects may involve sectors like telecom, finance, government, e-commerce, and healthcare. Assignments focus on creating and documenting original data science problems that mirror practical business challenges. What you will do Create computational data science problems based on real business scenarios. Develop tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally demanding and cannot be solved manually in a short time. Design scenarios involving complex reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Write deterministic problems with reproducible results, using fixed random seeds as needed. Align problem statements with business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Address the full data science pipeline: ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data processing elements that require scalable solutions. Validate solutions using Python and standard statistical methods. Document problems clearly in realistic business contexts and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving. Advanced Python programming for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithms and practical applications. Strong SQL skills for data manipulation and analysis. Experience with GenAI tools (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps and model deployment workflows. Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain. Exceptional written English (C1 level or higher). Application process Apply with an English CV and indicate your English proficiency. Complete qualification steps. Join a project when matched. Complete assigned tasks. Receive compensation for your contributions. Location: Remote , Manitoba, Canada Note: This is a part-time, project-based contract and does not constitute permanent employment.
We encourage you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented specialists with exciting project-based AI opportunities for top-tier tech firms. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewWhile each project presents distinct challenges, contributors may be tasked with:Creating innovative optics problems that replicate genuine physics research workflows;Ensuring that these problems are computationally demanding and cannot be solved manually within feasible timeframes;Formulating problems that necessitate complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing from authentic research dilemmas or practical applications in optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is perfect for optical engineers who are open to part-time, non-permanent engagements. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;At least 2 years of professional experience, whether in applied work, research, or teaching;Proficiency in numerical simulation methodologies;The capability to design problems that reflect real-world physics research practices;Innovative thinking in problem development across various physics domains;Familiarity with physics modeling and approximation methods;Excellent written English skills (C1+).Application ProcessTo apply, simply follow these steps: Apply → Pass qualification(s) → Join a project → Complete tasks → Receive payment.Project Engagement ExpectationsFor this initiative, the expected workload is approximately 10–20 hours per week during active project phases, contingent upon the specific project requirements. This is an estimate and not a guaranteed workload.Compensation StructureContributors can earn up to $35 per hour, depending on their skill level and contribution pace. Please be aware that compensation varies across projects based on their scope, complexity, and expertise required. Different projects may present varying earning opportunities.
Please submit your CV in English and indicate your English proficiency level. toloka-ai, together with Mindrift, offers project-based freelance work for professionals interested in AI systems related to physics and optics. This is a remote contract role for candidates based in Manitoba, Canada. The position centers on evaluating and improving AI systems by designing and solving advanced optical and physics problems. This is not a permanent staff position; work is assigned according to current project needs. Key Responsibilities Design original optical problems that reflect real-world physics research workflows Create computationally intensive challenges that go beyond manual calculations Develop problems requiring advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problem scenarios on actual research or practical applications in optics and physics Clearly document each problem statement and provide accurate, verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum of 2 years of professional experience in applied, research, or teaching roles Proficiency with numerical simulation methods Experience designing problems based on real research processes in physics Creative approach to developing problems across various physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or above How to Join Apply Meet qualification criteria Join a project Complete assigned tasks Receive compensation Project Commitment During active project phases, contributors usually spend 10–20 hours per week. Workload may vary and is not guaranteed outside of these periods. Compensation Earnings can reach up to $35 per hour, depending on expertise and pace. Project rates vary based on complexity, scope, and required knowledge. Other projects on the platform may offer different compensation depending on their requirements.
Are you a passionate expert in the Persian language looking to influence the evolution of artificial intelligence? The landscape of large-scale language models is transforming from simple chatbots into robust platforms for linguistic exploration. By providing high-quality training data, we can empower AI to democratize education, keep up with innovative research, and enhance communication for Persian speakers globally. Your expertise is the key to driving this change—we invite you to be part of this exciting journey!We are actively seeking Persian language specialists who possess an in-depth understanding of Persian grammar, syntax, morphology, spelling, phonology, and pragmatics. In this role, you will critically evaluate advanced language models, focusing on aspects such as verb conjugation, sentence structures, ezāfe constructions, levels of politeness, regional dialects, and the subtleties of the Persian writing system—documenting challenges and failures to strengthen model reasoning.In a typical day, you will engage in dialogues with the model about linguistic scenarios, assess the accuracy and logical coherence of its outputs, document reproducible errors, and propose enhancements to our prompt engineering and evaluation methods.A master's degree or PhD in Persian language, linguistics, or a closely related discipline is preferred; candidates with peer-reviewed publications, teaching backgrounds, or practical linguistic analysis experience will stand out. Effective and transparent communication—demonstrating your thought process—is essential.If you're ready to leverage your Persian language skills to contribute to the AI knowledge base of the future, apply today and start shaping the model that will educate the world!
Are you a passionate sound engineering expert looking to influence the future of AI technology? As large-scale language models transition from sophisticated chatbots to essential tools for audio innovation, your expertise is crucial. By providing high-quality training data, you will empower tomorrow's AI to assist engineers in designing studio systems, optimizing acoustics, and addressing real-world production challenges at scale. We are seeking sound engineering specialists who excel in live sound reinforcement, microphone techniques, signal flow, acoustics, mixing consoles, audio interfaces, and sound system calibration. You will engage with advanced language models on critical topics such as gain staging, PA tuning, time alignment, routing and patching, impedance matching, analog-to-digital conversion, and broadcast audio standards, meticulously documenting every failure mode to enhance model reasoning. On a typical day, you will interact with the model regarding complex audio system design and troubleshooting scenarios, validate engineering precision, identify gaps in signal-chain logic, and suggest improvements to prompt structures and model evaluation methods. A bachelor’s or master’s degree in Sound Engineering, Acoustical Engineering, Electrical Engineering (with an audio specialization), or a related field is preferred. Practical experience with live sound rigs, studio installations, broadcast setups, or touring productions will strongly position you as a candidate. Familiarity with tools like Dante Controller, Smaart, QLab, and mixing consoles from Yamaha, Avid, or Allen & Heath is advantageous. Clear and structured communication is essential—be prepared to demonstrate your signal path effectively. Are you ready to transform your sound engineering expertise into the foundation of future AI technology? Apply now and contribute to shaping the tools that will drive the next generation of audio innovation.
Toloka AI seeks a Freelance Junior Journalist to support AI training efforts. This contract position is fully remote and open to candidates living in Manitoba, Canada. The role blends journalism with technology, focusing on generating original content that aids in developing artificial intelligence models. Key responsibilities Produce high-quality written material for AI training purposes. Offer ideas and content that enhance AI model quality. Contribute to the creation of new AI-driven tools through your writing. Who will succeed Creative thinkers with a strong interest in journalism and technology tend to do well in this position. Curiosity, careful attention to detail, and an openness to exploring new subjects are important for producing the varied content required for AI training.
Join Mindrift, where we bridge talented specialists with exciting project-based AI opportunities for top technology firms, concentrating on the testing, assessment, and enhancement of AI systems. Note: Engagements are project-based and not permanent positions.Role OverviewAs a Procurement & Supply Chain Specialist, you will leverage your extensive hands-on experience to develop realistic disruption scenarios, outline expected outcomes and mitigation strategies, and assess AI-generated recommendations for their accuracy, relevance, and completeness.Project ResponsibilitiesWhile tasks may vary by project, typical responsibilities may include:Creating authentic supply chain disruption scenarios (e.g., supplier delays, quantity fluctuations, logistics challenges, quality failures) based on real-world manufacturing and procurement situations.Establishing anticipated outcomes and suitable mitigation strategies for each scenario.Evaluating AI-generated insights and recommendations against practical business logic.Reviewing outputs for accuracy, completeness, and relevance within ERP systems (particularly Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba/SAP).Participating in structured data creation and validation tasks in accordance with established guidelines and frameworks.Qualifications and SkillsAt least 4 years of practical experience in procurement, supply chain management, or purchasing, preferably within a manufacturing context.In-depth understanding of procurement processes: purchase orders, vendor management, inventory control, and production planning.Practical experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.Demonstrated ability to design and analyze supply chain disruption scenarios and their corresponding mitigation strategies.Solid comprehension of various types of disruptions: delays, shortages, quality issues, and logistical challenges.Knowledge of Incoterms and transportation/logistics management principles.Familiarity with Bill of Materials (BOM) structures and production planning protocols.Experience measuring supplier performance metrics (OTIF, lead times, quality scores).Analytical mindset with the capability to evaluate AI outputs against real-world business criteria.Experience with data validation, structured data entry, or annotation tasks.Proficient written communication skills in English.How the Process WorksApply → Complete qualification(s) → Join a project → Execute tasks → Get compensated.Project Time CommitmentThis project is expected to require approximately 10-20 hours per week during active phases, depending on project demands. This is an estimation and not a guaranteed workload.CompensationContributors on this project can earn up to $60 per hour, based on experience and project requirements.
Are you a passionate Italian language expert ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to advanced tools for linguistic exploration, your contribution is vital. By providing high-quality training data, you will help create AI that can democratize top-notch education, keep up with innovative research, and enhance communication for Italian speakers globally. We seek dedicated Italian language specialists who possess a deep understanding of Italian grammar, syntax, morphology, phonology, semantics, and pragmatics. In this role, you will engage with advanced language models on topics such as verb conjugation, sentence structure, noun-adjective agreement, idiomatic expressions, and both formal and informal speech. You will document every failure mode to assist in refining the model’s reasoning. Your typical day will involve conversing with the model on various language scenarios, verifying factual accuracy and logical coherence, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. A Master's degree or PhD in Italian language, linguistics, or a closely related discipline is preferred. Experience in teaching, peer-reviewed publications, or practical linguistic analysis projects indicate a strong fit. Exceptional metacognitive communication skills—“showing your work”—are essential. Are you ready to transform your Italian language expertise into the knowledge foundation for tomorrow’s AI? Apply today and start shaping the model that will educate the world.
