Freelance AI Trainer - Physics Expert with Python

Please submit your CV in English and specify your English proficiency. Mindrift connects professionals with project-based AI work for leading tech companies. The platform focuses on testing, evaluating, and improving AI systems. This is a contract position, not a permanent role. Role overview This freelance, remote position centers on creating and validating advanced computational physics problems to help train AI systems. Projects are open to candidates located in New York, United States. What you will do Design original computational physics problems that mirror real research workflows. Create problems that require Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy. Ensure problems demand computational methods rather than manual calculation. Develop tasks involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on real-world research challenges or practical physics applications. Verify solutions using Python and standard physics simulation tools. Document each problem clearly and provide accurate, verified answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued. At least 2 years of professional experience (applied, research, or teaching). Background in numerical simulation methods. Ability to design problems that reflect authentic physics research. Creative approach to problem design across multiple physics disciplines. Knowledge of physics modeling and approximation techniques. Excellent written English (C1 level or higher). Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Project commitment Tasks usually require 10–20 hours per week during active project phases. Actual workload may change depending on project needs. Compensation Earn up to $76 per hour, depending on expertise and task completion rate. Pay varies by project, based on complexity and required skills. Other Mindrift projects may offer different rates according to their requirements.

Mindrift connects experienced professionals with project-based roles in artificial intelligence, focusing on testing and improving AI systems for leading technology companies. This is a freelance, non-permanent position based remotely in New York, United States. Role overview As an Expert in Chemistry & Python, freelance AI trainers at Mindrift design and validate computational chemistry challenges. These projects require contributors to: Create advanced computational chemistry problems that reflect real research workflows Develop scenarios requiring Python programming to solve, using libraries such as numpy, scipy, and chemistry-specific packages Ensure that problems are computationally intensive and not feasible to solve manually within days or weeks Incorporate complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Base tasks on real-world research challenges or practical applications in chemistry Validate solutions with Python, following standard computational chemistry methods Document challenges clearly and provide accurate, verified answers Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied chemistry, research, or teaching Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or above) Process The typical process includes: apply, meet qualifications, join a project, complete assigned tasks, and receive payment. Time commitment Project work generally requires about 10–20 hours per week during active phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and pace. Compensation may differ between projects based on their scope, complexity, and required skills. Application note: Please submit your CV in English and include your level of English proficiency.

Toloka AI seeks a freelance Civil Engineer & Python Specialist to help train AI applications. This remote contract role is open to candidates based in New York, United States. The position brings together civil engineering expertise with practical Python programming to support Toloka AI’s projects. Key responsibilities Use civil engineering knowledge and Python skills to develop and improve AI solutions. Create educational materials that assist with AI training and development. Lead or join training sessions on engineering and programming topics. Collaborate with the Toloka AI team to enhance AI model performance. Requirements Strong foundation in civil engineering concepts and practices. Proficient Python programming skills. Experience with AI application development or training is a plus. Clear communication skills, both in writing and in training settings. Ability to work independently as a freelancer and coordinate with a distributed team.

This freelance, project-based position with toloka-ai (via Mindrift) connects experienced professionals to projects focused on testing, evaluating, and improving AI systems for leading technology companies. The role is remote, open to candidates based in New York, United States, and does not offer permanent employment. Role overview The AI Trainer - Statistics & Python Specialist creates challenging computational statistics problems modeled on real-world mathematical research. Each problem should require advanced reasoning and substantial computation, often involving Python programming with libraries such as Numpy, SciPy, and Sympy. Problems must be complex enough that they cannot be solved manually in a reasonable timeframe. Scenarios should reflect genuine research challenges or practical applications in mathematics, including topics like number theory, combinatorics, graph theory, and numerical analysis. Each problem requires clear documentation, a verified solution, and validation using Python and standard mathematical libraries. Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued Minimum 2 years of relevant professional experience (applied, research, or teaching) Strong written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus Project process Apply by submitting a CV in English and stating English proficiency Complete qualification steps Join a project when matched Work on assigned tasks Receive compensation for completed work Time commitment Active project phases typically require about 10–20 hours per week. Workload may fluctuate and is not guaranteed outside of active project periods. Compensation Rates can reach up to $73 per hour, depending on expertise and task completion rate. Compensation varies by project, reflecting complexity and required skills.

Please submit your CV in English and indicate your English proficiency level. toloka-ai partners with Mindrift to offer freelance, project-based work focused on advancing AI systems for major technology companies. This contract role centers on testing, evaluating, and improving AI models. Engagement is on a per-project basis and does not constitute permanent employment. Role overview This position calls for an optical engineer with strong Python skills to create and validate computational physics problems. The work involves designing programming challenges that reflect real research scenarios, particularly in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Each problem should require significant computational effort, often taking days or weeks to solve by hand. Solutions are verified using Python and standard physics simulation libraries. Key responsibilities Design original computational physics problems based on real-world research workflows. Create programming challenges using Python, with libraries such as Numpy, SciPy, or Sympy. Ensure problems are computationally intensive and require advanced reasoning. Develop scenarios across multiple physics domains, drawing from authentic research or practical applications. Validate solutions in Python using standard simulation tools. Document clear problem statements and provide verified solutions. Requirements Background in optical engineering with experience in Python programming. Degree in Physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus. Minimum of 2 years' professional experience in applied research, teaching, or related fields. Experience with numerical simulation methods and physics modeling techniques. Ability to design problems that reflect real research workflows in physics. Creative problem-solving skills across various physics areas. Strong written English skills at C1 level or higher. Application process Candidates will need to pass required qualifications, join a project, complete assigned tasks, and will be compensated upon completion. Time commitment During active project phases, expect to commit approximately 10–20 hours per week. Workload may vary depending on project needs. Compensation Earn up to $76 per hour, based on expertise and contribution speed. Actual compensation depends on project scope, complexity, and required skills. Other projects on the platform may offer different earning rates. Location: Remote , New York, United States

Please submit your CV in English and specify your English proficiency level. This freelance, project-based contract with toloka-ai (via Mindrift) offers physicists the chance to shape and evaluate AI systems for leading technology companies. The work centers on testing, improving, and designing computational challenges that reflect real research in physics. This is not a permanent employment offer. Key Responsibilities Design computational physics problems that align with real research workflows. Create programming challenges requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and cannot be solved manually within a reasonable time. Craft advanced scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on genuine research issues or practical physics applications. Validate solutions using Python and standard simulation tools. Document each problem clearly and provide verified answers. Requirements 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, or SciPy is a plus. At least 2 years of applied research or teaching experience. Background in numerical simulation methods. Ability to design problems that mirror authentic research workflows in physics. Creative problem-solving skills across diverse physics topics. Knowledge of modeling and approximation techniques. Strong written English skills (C1 level or higher). Project Process Steps include: Application, Qualification Process, Project Participation, Task Completion, and Payment. Time Commitment Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary with project needs. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Compensation varies by project scope and complexity. Other projects on the platform may offer different earning levels based on requirements.

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for leading technology companies. This freelance, project-based role does not offer permanent employment. Role overview This freelance AI Trainer position is open to candidates based in New York or elsewhere in the United States. Projects focus on materials science and Python programming, with each assignment presenting new technical challenges. The work is fully remote. What you will do Design materials engineering problems that reflect real-world engineering workflows. Create tasks involving Python programming for calculations and simulations. Develop problems that require computationally intensive approaches, such as numerical methods or iterative solutions. Build scenarios related to system design, optimization, and analysis. Base problems on authentic research challenges or practical engineering applications. Validate solutions in Python, using established engineering libraries. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus. Minimum 2 years of professional experience (applied, research, or teaching). Strong understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. Project workflow Application → Qualification(s) → Project Engagement → Task Completion → Payment Time commitment Expect to dedicate roughly 10–20 hours per week during active project periods. Workload may vary depending on project needs and is not guaranteed. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Pay may differ by project, reflecting scope, complexity, and required skills.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All engagements are temporary and do not establish a permanent employment relationship. Role overview This freelance, remote position is available to candidates based in New York, United States. Each project introduces a new set of challenges related to computational physics and quantum research. Contributors may work on tasks such as: Designing original computational physics problems that reflect real research workflows Creating problems requiring Python programming solutions, often with Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and not solvable manually in a short time Developing scenarios involving mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on genuine research challenges or practical physics applications Validating solutions in Python using standard physics simulation libraries Documenting problem statements clearly and providing verified correct answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is valued At least 2 years of professional experience in applied, research, or teaching settings Background in numerical simulation methods Experience designing problems that mirror real research workflows Creative approach to problem design across multiple physics domains Understanding of modeling and approximation techniques in physics Strong written English at C1 level or higher Application process Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload varies according to project needs, and hours are not guaranteed outside of active assignments. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Rates differ by project based on scope, complexity, and required skills. Other projects on the platform may offer different pay levels depending on their requirements.

Mindrift offers project-based roles for specialists in mechanical engineering and Python, supporting AI training initiatives for major technology clients. This freelance position is remote, open to candidates based in New York, United States, and centers on designing and validating engineering problems for AI systems. Role overview This role focuses on developing original computational engineering challenges that mirror real-world scenarios. Assignments include: Creating engineering problems that simulate practical workflows and research topics Designing tasks that require Python programming for calculations, simulations, and numerical analysis Building computationally intensive problems using iterative methods or numerical solutions Developing challenges related to system design, optimization, and engineering analysis Validating solutions in Python with standard engineering libraries Documenting problem statements and providing accurate, verified answers Requirements Bachelor’s degree or higher in Mechanical Engineering or a related field Strong proficiency in Python for numerical validation; familiarity with tools such as MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also accepted At least 2 years of professional experience in applied, research, or teaching roles Solid understanding of engineering constraints and practical approximations Excellent written English skills at C1 level or above Professional certifications (CMME, SAS, CAP) and experience with international or applied projects are considered advantageous Project process Submit an application Confirm qualifications Join a project Complete assigned tasks Receive compensation Time commitment Project tasks generally require 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Rates for this freelance role reach up to $69 per hour, depending on contribution, project complexity, and expertise. Compensation may differ for other projects on the Mindrift platform. Application instructions Submit your CV in English and indicate your English proficiency level.

This freelance, project-based role at Mindrift focuses on shaping how AI systems address real-world supply chain and procurement challenges. Work is fully remote, with candidates based in New York, United States. Mindrift partners with technology companies to test, evaluate, and improve AI tools. As a Supply Chain Consultant - AI Trainer, the main responsibility is to use deep industry expertise to guide AI understanding of complex business scenarios. Role overview Consultants in this role develop realistic supply chain disruption scenarios drawn from manufacturing and procurement experience. Tasks include outlining possible responses, defining expected outcomes, and reviewing AI-generated recommendations for accuracy and business relevance. The work also involves assessing AI outputs within ERP systems such as Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba/SAP, and helping to create and validate structured data according to set guidelines. What you will do Create supply chain disruption scenarios based on real manufacturing and procurement issues, including supplier delays, quantity changes, logistics problems, and quality failures. Define expected results and propose mitigation strategies for each scenario. Review AI-generated recommendations, checking them against established business logic and supply chain best practices. Assess outputs for accuracy, completeness, and relevance, particularly in the context of ERP systems. Contribute to structured data creation and validation following detailed frameworks. Requirements At least 4 years of hands-on experience in procurement, supply chain, or purchasing, preferably in manufacturing. Strong grasp of procurement workflows, including purchase orders, vendor management, inventory, and production planning. Direct experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze disruption scenarios and mitigation strategies. Understanding of disruption types: delays, shortages, quality issues, and logistics challenges. Knowledge of Incoterms and transportation management. Familiarity with Bill of Materials (BOM) structures and production planning. Experience analyzing supplier performance metrics like OTIF, lead times, and quality scores. Analytical skills for evaluating AI outputs against business logic. Background in data validation, structured data entry, or annotation tasks. Excellent written English communication skills. How participation works Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks usually require about 10-20 hours per week. Actual workload may vary depending on project needs. Compensation Project participants can earn up to $60 per hour, depending on experience and project requirements.

toloka-ai is hiring a Freelance Junior Journalist to join its AI training projects. This remote role is based in New York, New York, and focuses on producing and selecting content that supports the development of AI systems. Key responsibilities Write and edit material used to train machine learning models Curate quality content that improves how AI systems understand and perform tasks Help refine AI technology through your writing contributions Location details This position is fully remote, with a base in New York, New York, United States.

Role overview Toloka AI seeks a Freelance English Writer to support the training of artificial intelligence systems. This remote role centers on crafting clear and accurate written content that helps AI models better understand the nuances of English. What you will do Produce written materials to guide AI systems in recognizing language patterns, tone, and context Work independently from any location within New York, United States Apply strong language skills alongside technology to enhance AI comprehension of English Location This is a remote position based in New York, United States.

Submit your CV in English and include your English proficiency level in the application. This freelance, project-based role with Mindrift connects electrical engineers and Python specialists to AI training projects for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems through the creation and validation of challenging engineering problems. Role overview Freelance Electrical Engineers & Python Specialists work on projects that require designing computational problems reflecting real-world engineering workflows. Tasks often include: Developing engineering problems that simulate practical scenarios Creating problems that involve Python programming for calculations and simulations Ensuring problems use numerical methods or iterative solutions and are computationally demanding Designing scenarios related to system design, optimization, or analysis Basing tasks on actual research challenges or applied engineering cases Validating solutions in Python using standard engineering libraries Documenting clear problem statements and verified solutions Requirements Degree in Electrical Engineering or a closely related field Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum of 2 years of experience in applied engineering, research, or teaching Understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are a plus Project commitment During active project periods, the expected commitment is approximately 10–20 hours per week. Actual hours may shift based on project needs. Compensation Contributors can earn up to $69 per hour, depending on expertise and project pace. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Location: Remote , New York, United States

Toloka AI is looking for a Freelance Legal Consultant with a strong background in US law. This contract role is fully remote, based in New York, NY. Role overview This position focuses on supporting AI training efforts by providing legal expertise specific to United States law. The work involves helping AI systems interpret and process legal information accurately. What you will do Use legal knowledge to enhance how AI understands US legal contexts Support the development of AI tools designed for legal technology applications Location Remote contract role based in New York, New York, United States.

Mindrift connects technical experts with AI-driven projects, focusing on the intersection of generative AI and specialized human knowledge. The company partners with technology leaders to deliver real-world solutions powered by collaborative intelligence. Role overview This part-time, remote contract position centers on advanced data extraction and processing for the Tendem project. As a Freelance Python Data Scraping Engineer (called "AI Pilot" at Mindrift), the role works within an AI-human hybrid system. Engineers collaborate with Tendem Agents, who handle routine tasks, while focusing on critical thinking and applying domain expertise to produce accurate, actionable data insights. What you will do Run end-to-end workflows to extract data from complex websites, delivering structured datasets with high accuracy. Use internal tools such as Apify and OpenRouter, as well as custom-built solutions, to collect, validate, and process data according to project needs. Adapt extraction methods for dynamic or JavaScript-rendered content and evolving site structures. Ensure data quality through validation checks, cross-source comparisons, formatting standards, and systematic verification before delivery. Optimize large-scale scraping with batching or parallelization, monitor for failures, and maintain resilience to minor layout changes. Requirements Minimum of 3 years of experience in data engineering, web scraping, automation, or a closely related technical field. Compensation Earn up to $32 per hour on this project, depending on experience and pace. Actual rates may vary by project scope, complexity, and required skills. Other projects on the Mindrift platform may offer different compensation based on their needs. How to apply Submit an application to this posting. After qualifying, join projects that fit your technical strengths and work on a flexible schedule. Tasks may include coding, automation, and refining AI outputs, all contributing to the advancement of AI and its real-world uses.

Toloka Annotators seeks a Freelance Data Annotator to assist with AI training projects. This contract role is remote and open to those located in New York, United States. The work centers on labeling and annotating data to support the improvement of machine learning models and AI algorithms. Key Responsibilities Review data sets and apply labels following detailed project instructions Annotate information to help develop AI systems Support the accuracy and performance of machine learning models used in various applications Location This position is fully remote but requires residency in New York, United States.

Please submit your resume in English and include your English proficiency level. Toloka Annotators brings together people from around the world to contribute to freelance online tasks that help improve artificial intelligence. The platform connects skilled individuals with generative AI projects from leading technology companies, aiming to advance AI by including diverse perspectives and experiences. Role overview As a Freelance AI Trainer – English Annotator, you will support AI systems by helping them better understand and interpret information. Projects can include rating AI-generated content, checking for factual accuracy, or comparing different responses. The type and frequency of tasks depend on current project availability. Main responsibilities Review and analyze datasets, which may include text, images, or videos. Label or categorize content according to detailed project guidelines. Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear. Project details This freelance position is project-based. Tasks are available only when projects are active, and invitations to participate depend on your profile and current project needs. Compensation Pay rates depend on project scope and required expertise. AI trainers can earn up to $23 per hour.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for professionals interested in advancing artificial intelligence. The platform partners with leading tech companies to test, evaluate, and improve AI systems. This is a freelance, project-based role and not a permanent position. Role overview The Freelance Legal Advisor (US Bar Admitted) - AI Trainer position focuses on strengthening AI legal reasoning and performance. Work is fully remote, with the role based in New York, NY, United States. What you will do Create legal prompts that test and challenge AI systems Review AI-generated legal outputs for accuracy, logical structure, and underlying assumptions Refine AI reasoning frameworks to ensure alignment with established legal principles and standards Apply structured scoring to evaluate multi-step legal problem-solving by AI Requirements Juris Doctor (J.D.), Master of Laws (LL.M.), or a US-recognized law degree Minimum of 2 years legal practice within the United States Strong written English skills at C1 or C2 level Reliable internet connection Who this role suits This role is well suited for legal consultants or attorneys with US law experience who want flexible, part-time project work. How to apply To join, candidates submit an application, complete required qualifications, join a project, finish assigned tasks, and receive compensation. Project commitment During active projects, contributors typically dedicate 10 to 20 hours per week. Actual time may vary based on project needs. Compensation Earnings can reach up to $75 per hour, depending on experience and pace. Compensation varies by project scope, complexity, and required expertise. Other opportunities on the platform may offer different rates depending on specific requirements.

About UsMirror Physics is an innovative AI company based in New York City, pioneering the next generation of scientific simulation technologies. Our mission is to create intelligent systems that grasp the fundamental principles of physics, thereby providing essential acceleration for advanced research and development across various technological fields. We are currently developing a leading-edge AI platform that predicts experimental outcomes in chemistry and materials science, seamlessly integrating physical simulation with high-throughput experimental verification. This endeavor aims to hasten discoveries in biotechnology, energy, manufacturing, and more. Supported by top-tier investors and scientific experts, we are seeking to expand our research team during this crucial period in the industry.The RoleAs the principal AI researcher focusing on physics model development, you will lead efforts in designing innovative architectures, training algorithms, and evaluation processes to transform vast amounts of physical simulation data into scalable, precise, and versatile predictive engines applicable in both scientific and industrial contexts.Key ResponsibilitiesCreate robust, scalable, and universally applicable atomistic models with high fidelity across various chemical domains.Compile diverse and multi-fidelity datasets into cohesive training corpora; innovate new objectives to enhance data efficiency.Produce groundbreaking datasets that encompass an unmatched variety of chemical systems, consistently computed at the highest theoretical levels suitable for general chemistries.Design diagnostic tools for model performance evaluation, failure mode assessment, and uncertainty quantification; propose new benchmarks to rigorously test predictive accuracy, physical consistency, and extrapolation capabilities.Develop downstream tools to improve model precision and processing speed, including model distillation and fine-tuning techniques.Collaborate with the AI-for-science community through research publications and contributions at leading conferences such as NeurIPS, ICML, and ICLR.Mentor junior researchers and work closely with applied science and engineering teams.