Toloka AIRemote — Stuttgart, Baden-Württemberg, Germany
Remote Contract
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Experience Level
Experience
Qualifications
Extensive knowledge of mathematical concepts relevant to AI and machine learning. Proven experience in developing training materials for AI algorithms. Strong analytical and problem-solving skills. Ability to work independently and manage multiple projects effectively. Excellent communication skills, both written and verbal.
About the job
Toloka AI seeks a Freelance Mathematics Expert for remote contract work based in Stuttgart, Baden-Württemberg, Germany. This role centers on applying advanced mathematical concepts to support ongoing AI training projects and improve algorithm performance.
Key responsibilities
Use mathematical methods to develop and refine AI algorithms
Contribute expertise to projects focused on advancing intelligent systems
Collaborate with a distributed team of AI professionals
Collaboration and work environment
This position offers the chance to work remotely with colleagues from varied backgrounds. Sharing mathematical expertise is central to shaping new AI technologies as part of a global team.
About Toloka AI
Toloka AI is at the forefront of AI development, focusing on creating innovative solutions that harness the power of machine learning. Our team is passionate about pushing technological boundaries and transforming industries through advanced AI applications. We believe in fostering a collaborative and inclusive work environment where creativity and innovation thrive.
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Please submit your CV in English and indicate your level of English proficiency. toloka-ai, through Mindrift, offers project-based roles for specialists interested in AI system development and evaluation. This freelance position focuses on mathematics and Python, and is not a permanent role. Role overview As a Mathematics & Python Specialist - Freelance AI Trainer, each project centers on developing and validating computational mathematics problems. Tasks vary by project and may include: Designing original computational mathematics problems that reflect real research workflows Creating problems requiring Python programming solutions, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive, taking days or weeks to solve manually Formulating challenges involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research scenarios or practical mathematical applications Verifying solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing validated answers Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, specialized libraries, Stata, or other programming languages is also valued At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to create problems simulating real mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1+ level) Project workflow The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation. Time commitment Projects may require around 10–20 hours of work per week during active phases. Actual workload depends on project needs and is not guaranteed. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Compensation varies by project scope, complexity, and expertise required. Other projects on the platform may offer different rates based on their specific requirements.
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Part-time|$45/hr - $45/hr|Remote|Remote — Stuttgart, Baden-Württemberg, Germany
We invite you to submit your CV in English, detailing your English proficiency level.Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities at top tech companies, emphasizing the assessment, evaluation, and enhancement of AI systems. Please note that this role is project-based and does not offer permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be required to:Devise innovative computational physics problems that replicate real-world physics research workflows;Generate problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days/weeks);Create problems involving substantial reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on authentic research challenges or practical scenarios from the field of physics;Validate solutions via Python using standard physics simulation libraries;Clearly document problem statements and provide verified solutions.Preferred QualificationsThis opportunity is ideal for individuals with a background in physics and Python programming, who are interested in part-time, non-permanent projects. The ideal candidate should 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 other domain-specific libraries considered equivalent;A minimum of 2 years of relevant professional experience: applicable experience includes applied research or teaching;Expertise in numerical simulation techniques;The ability to craft problems that reflect real physics research workflows;Creative problem-solving skills across various domains of physics;Strong written English skills (C1+).How to Get StartedInterested candidates should apply, pass the qualifications, join a project, complete the tasks, and receive payment.Project CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, subject to project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.CompensationContributors can earn up to $45 per hour, depending on their experience and contribution pace. Please note that compensation may vary across projects based on scope, complexity, and required expertise.
Part-time|$45/hr - $45/hr|Remote|Remote — Stuttgart, Baden-Württemberg, Germany
Please submit your CV in English and indicate your English proficiency level. Mindrift offers freelance, project-based work connecting specialists with AI projects for leading technology companies. Most assignments focus on testing, evaluating, and improving AI systems. These roles are not permanent positions but provide flexible, remote opportunities for professionals seeking part-time engagement. Role overview This freelance AI Trainer position centers on materials science and Python programming. Contributors join projects that bring a range of technical challenges, often requiring a blend of engineering knowledge and computational problem-solving skills. Design original materials engineering problems that mirror real-world workflows Create Python programming challenges for engineering calculations and simulations Develop problems that require computational effort, such as numerical methods or iterative solutions Build scenarios in system design, optimization, and analysis Base challenges on real research or practical engineering applications Validate solutions in Python using standard engineering libraries Document problems clearly and supply verified, correct answers Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with tools like MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata is a plus Minimum two years of professional experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Project workflow Application Qualification pass Project engagement Task completion Compensation Time commitment Active project phases typically require 10–20 hours per week. Actual workload varies based on project needs. Compensation Earnings can reach up to $45 per hour, depending on contribution and pace. Rates differ by project and reflect scope, complexity, and required expertise. Other Mindrift projects may offer different compensation structures. Location This is a remote contract role. Applicants based in Stuttgart, Baden-Württemberg, Germany are encouraged to apply, though the position is open to candidates in other locations as well.
Part-time|$50/hr - $50/hr|Remote|Remote — Stuttgart, Baden-Württemberg, Germany
We kindly request that you submit your CV in English, along with a clear indication of your English language proficiency.Mindrift connects talented specialists with project-based AI opportunities from leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewEach project presents its own unique challenges, and contributors may be expected to:Craft innovative computational engineering problems that replicate real-world engineering workflows;Develop problems that necessitate Python programming for solving engineering calculations and simulations;Ensure problems are computationally intensive and utilize numerical methods or iterative solutions;Create problems related to system design, optimization, and analysis;Base problems on genuine research challenges or practical applications within engineering;Validate solutions using Python and standard engineering libraries;Clearly document problem statements and provide verified correct answers.Desired QualificationsThis role is ideal for engineers with experience in Python who are open to part-time, non-permanent projects. Ideally, candidates will 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, domain-specific libraries, or any comparable programming language is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;Understanding of practical engineering limitations and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process WorksApply → Successfully pass qualification(s) → Engage in a project → Complete assigned tasks → Receive payment.Project Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and does not guarantee a specific workload, applicable only while the project is ongoing.CompensationContributors may earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skill set. Note that other projects on the platform may offer different earning potentials based on their specific requirements.
Part-time|$0/hr - $45/hr|Remote|Remote — Stuttgart, Baden-Württemberg, Germany
Please submit your CV in English and specify your English language proficiency. Mindrift offers project-based roles for professionals interested in supporting AI development at major technology companies. These freelance opportunities focus on testing, evaluating, and improving AI systems. Participation is temporary and does not constitute full-time employment. Role overview This freelance position centers on creating and validating computational chemistry problems that reflect real-world research tasks. Contributors design challenges that require Python programming, often using libraries such as NumPy, SciPy, or specialized chemistry packages. Problems should be computationally intensive, requiring more than manual calculation, and may involve areas like physical chemistry, quantum chemistry, or molecular modeling. Tasks also include documenting problem statements and providing accurate, verified solutions using established computational chemistry methods. Requirements Degree in Chemistry or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar tools is also welcome At least 2 years of professional experience in applied, research, or teaching roles Experience applying numerical methods in chemistry Understanding of computational chemistry concepts and practices Strong English writing skills at C1 level or higher Project workload Active project phases typically require around 10–20 hours per week. Actual workload may vary depending on the specific project and its requirements. This estimate applies only during active project periods and is not a guaranteed minimum or maximum. Compensation Earnings can reach up to $45 per hour, depending on expertise and pace. Compensation varies by project scope, complexity, and required qualifications. Other projects on the Mindrift platform may offer different rates based on their needs. Application process Submit your application Complete qualification steps Join a project Carry out assigned tasks Receive compensation
Apr 29, 2026
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