Freelance Agent Evaluation Engineer

We invite you to submit your CV in English, including your level of English proficiency.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not…

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.

This freelance Optical Engineer role with Toloka AI (remote, based in Stuttgart, Baden-Württemberg, Germany) offers the chance to contribute expertise to project-based AI initiatives. Work is organized through Mindrift, connecting specialists with assignments that help advance AI systems for major technology clients. This is a project-based contract, not a permanent staff position. Role overview The focus is on applying optical engineering knowledge to AI projects. Assignments involve developing original problems and challenges that reflect real-world research in optics and physics. Tasks are designed to require computational rigor and advanced reasoning, rather than simple manual solutions. Key responsibilities Create optics problems modeled on authentic physics research processes Design challenges that demand advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Ensure each task emphasizes computational methods Base problems on real research questions or practical applications in optics and physics Write clear, precise problem statements and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to developing problems across multiple physics domains Understanding of physics modeling and approximation methods Strong written English skills (C1+ level) How to apply Submit an application Complete the required qualifications Join a project Carry out assigned tasks Receive compensation Please provide your CV in English and state your English proficiency level. Project details and time commitment Project work usually calls for 10–20 hours per week during active phases. Actual hours may shift based on project requirements. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Pay rates may vary with project complexity, scope, and skills needed. Other projects on the platform may offer different rates based on their specific needs.

Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in bridging the gap between skilled professionals and project-based opportunities in artificial intelligence for top technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not permanent employment.What You Will DoEach project offers distinct challenges, and contributors may:Design innovative computational engineering scenarios that replicate actual engineering workflows;Create challenges that necessitate Python programming to address engineering calculations and simulations;Ensure that tasks are computationally demanding, requiring numerical techniques or iterative methods;Develop problems centered around system design, optimization, and analysis;Base challenges on realistic research dilemmas or practical engineering applications;Validate solutions using Python along with standardized engineering libraries;Thoroughly document problem statements and provide verified correct solutions.What We SeekThis role is ideal for engineers with Python experience interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable;A minimum of 2 years of professional experience, whether applied, research, or teaching;An understanding of practical engineering limitations and approximations;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How It WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsThe estimated commitment for this project is around 10–20 hours per week during active phases, based on project demands. This is an estimate, not a guaranteed workload, and only applies while the project is in progress.CompensationContributors can earn up to $50 per hour, depending on their expertise and contribution pace. Compensation variations exist across projects based on their scope, complexity, and needed skills. Note that other projects on our platform may present different earning opportunities based on specific requirements.

Toloka AI is looking for a freelance AI Trainer who combines civil engineering expertise with strong Python programming skills. This role is remote, with a focus on projects based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using civil engineering knowledge alongside Python to help shape AI systems. The work involves both technical input and collaboration with others on the team. What you will do Use civil engineering experience and Python programming to contribute to AI system development Work with colleagues to enhance and fine-tune artificial intelligence projects Offer training and technical support for ongoing AI efforts Location This is a remote freelance role, connected to Stuttgart, Baden-Württemberg, Germany.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python programming. This remote role is based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using knowledge of biological sciences and Python to support the development and improvement of AI training programs. The work involves applying subject matter expertise to help shape AI solutions in the life sciences. What you will do Apply biology and programming skills to design and refine AI training materials Contribute to projects that advance AI applications in scientific fields Requirements Expertise in biology Proficiency in Python Interest in AI development

Mindrift is seeking talented Python Data Scraping Engineers to contribute to the Tendem project, enhancing our innovative hybrid AI and human system through specialized data scraping workflows.In the capacity of an AI Pilot, as we refer to this role at Mindrift, you will work collaboratively with Tendem Agents executing repetitive tasks, while you apply your critical thinking, domain expertise, and quality assurance skills to deliver precise and actionable data.This part-time remote position is ideally suited for technical experts with substantial experience in web scraping, data extraction, and processing.About UsThe Mindrift platform bridges specialists with AI projects from leading technology innovators. Our mission is to harness the power of Generative AI by leveraging expertise from specialists around the world.Role OverviewThis freelance role is part of the Tendem project. As a Python Data Scraping Engineer, you will be responsible for executing data scraping tasks with a focus on technical accuracy for web extraction and processing, employing various tools such as Apify and OpenRouter, along with your own innovative methods.Key ResponsibilitiesManage end-to-end data extraction processes across intricate websites, ensuring thorough coverage, accuracy, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) along with custom workflows to expedite data collection, validation, and task execution while adhering to defined specifications.Guarantee reliable data extraction from dynamic and interactive web sources, modifying strategies as necessary to accommodate JavaScript-rendered content and evolving site behavior.Maintain data quality standards through validation checks, cross-source consistency controls, adherence to formatting guidelines, and systematic verification prior to data delivery.Enhance scraping operations for large datasets through efficient batching or parallelization, monitor failures, and ensure stability in response to minor changes in site structure.CompensationContributors can earn up to $32 per hour, based on their experience and contribution speed. Note that compensation varies by project depending on its scope, complexity, and required expertise.How to ApplyTo get started, simply apply to this posting, qualify, and you will have the opportunity to work on projects that align with your technical skills, on your own schedule. From coding and automation to refining AI outputs, you will play a pivotal role in advancing AI capabilities and real-world applications.

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.

Please submit your CV in English and specify your English proficiency level. Mindrift, in partnership with toloka-ai, offers project-based freelance work for experienced data scientists. This role centers on testing, evaluating, and enhancing AI systems for leading technology companies. All assignments are project-based, not permanent employment. Key Responsibilities Design original data science challenges that reflect analytical work from sectors like telecom, finance, government, e-commerce, and healthcare. Create tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Develop problems that require significant computational effort, making manual solutions impractical. Formulate scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Ensure each challenge is deterministic and reproducible, using fixed random seeds when needed. Base tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end challenges covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include scenarios that require scalable computational methods for large datasets. Validate solutions in Python using standard data science libraries and statistical techniques. Write clear documentation for each problem, providing business context and verified solutions. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications showing real-world problem-solving. Advanced Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expertise in statistical analysis and machine learning, with strong knowledge of algorithms and methodologies. Proficient SQL skills for data analysis and manipulation. Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Strong written English skills at C1 level or higher. How to Get Started Apply Complete qualification(s) Join a project Finish assigned tasks Receive compensation Location: 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.

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.

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

We kindly request that you submit your CV in English and specify your English proficiency level.Mindrift fosters connections between specialists and project-based AI opportunities with leading tech firms, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is based on project work, not permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be involved in:Crafting original computational physics problems that reflect authentic physics research workflows;Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);Creating challenges that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research hurdles or practical applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Desired QualificationsThis position is ideal for physicists experienced in Python who are open to part-time, temporary projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or familiarity with any programming language is acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;Familiarity with numerical simulation techniques;The capability to design problems that replicate genuine physics research workflows;Creative problem-solving skills across various physics disciplines;An understanding of physics modeling and approximation methods;Strong command of written English (C1+).Process OverviewApply → Pass qualification criteria → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationOn this project, contributors may earn up to $45 per hour, contingent on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please be aware that other projects on the platform may offer different compensation levels based on their specific requirements.

Please submit your CV in English and indicate your English proficiency level.Mindrift is dedicated to connecting skilled professionals with project-based AI opportunities at leading technology firms, emphasizing the evaluation, testing, and enhancement of AI systems. Engagements are project-based and not permanent positions.About This OpportunityParticipants will engage in various project-specific tasks, which may include:Formulating innovative materials engineering problems that mirror actual engineering workflows;Crafting challenges that necessitate Python programming for solving engineering calculations and simulations;Designing problems that are computationally demanding, requiring numerical methods or iterative approaches;Creating tasks related to system design, optimization, and analysis;Grounding problems in genuine research challenges or practical engineering applications;Validating solutions through Python using standard engineering libraries;Clearly documenting problem statements and providing verified accurate answers.Ideal Candidate ProfileThis role is ideal for materials scientists and engineers with Python experience, seeking part-time, non-permanent project engagements. Preferred qualifications include: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 programming language is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching backgrounds;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).How It WorksApplication → Qualification Assessment → Project Participation → Task Completion → CompensationProject CommitmentTasks for this project are projected to take approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $45 per hour, depending on their contribution level and pace. Compensation varies across projects in accordance with their scope, complexity, and required expertise. Note that other projects on the platform may offer different earning potentials based on their specific requirements.

We invite you to submit your CV in English and indicate your proficiency level in English.At Mindrift, we facilitate connections between specialists and project-based AI opportunities for prominent tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is project-based and does not entail permanent employment.Opportunity OverviewEach project encompasses unique tasks, and contributors may be involved in the following activities:Crafting original computational statistics problems that emulate authentic mathematical research workflows;Formulating problems that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, Sympy);Designing computationally intensive problems that cannot be resolved manually within reasonable timeframes (days/weeks);Creating problems that require intricate reasoning chains in fields like number theory, combinatorics, graph theory, and numerical analysis;Basing problems on genuine research challenges or practical applications in mathematics;Validating solutions using Python and standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis role is ideally suited for statistics specialists with Python experience, seeking part-time, non-permanent projects. Preferred qualifications include:A degree in Statistics or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching experience;Strong written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are expected to require approximately 10–20 hours per week during active phases, varying based on project requirements. This estimate is not a guaranteed workload and only applies while the project is active.Compensation DetailsContributors can earn up to $50 per hour equivalent, based on their level of expertise and contribution pace. Compensation may vary across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their specific requirements.

We invite you to submit your CV in English, highlighting your proficiency in the language.Mindrift serves as a bridge connecting experts with project-specific AI roles for top-tier tech firms, concentrating on the evaluation, testing, and enhancement of AI systems. Note: This is a project-based opportunity and not a permanent position.Project OverviewEach project presents unique challenges, including:Designing innovative computational physics problems that replicate authentic physics research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);Creating problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research challenges or practical applications within the field of physics;Validating solutions using Python in conjunction with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideally suited for quantum researchers experienced in Python and open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Equivalent experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is acceptable;Over 2 years of relevant professional experience, including applied research or teaching;Expertise in numerical simulation methods;The capability to design problems that reflect real-world physics research workflows;Creativity in problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessApply → Pass qualifications → Engage in a project → Complete tasks → Receive paymentExpected CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project specifications. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $45 per hour, contingent upon their experience and contribution pace. Compensation may vary by project scope, complexity, and required expertise. Note that other projects may offer different compensation levels based on their specifications.

Please submit your CV in English and specify your level of English proficiency.At Mindrift, we connect legal professionals with exciting project-based opportunities in the realm of AI for top technology companies. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is on a project basis, not a permanent position.Role OverviewWhile each project presents unique challenges, contributors may engage in tasks such as:Creating prompts to challenge AI capabilities;Assessing the correctness, assumptions, and logic of AI-generated solutions;Refining AI reasoning to adhere to foundational principles and accepted standards;Utilizing structured scoring criteria to evaluate complex problem-solving processes.QualificationsThis role is ideally suited for legal consultants or attorneys with expertise in US law who are open to flexible, part-time, non-permanent projects. Preferred qualifications include:A degree in law (Bachelor's, J.D., LLM, FLLM) relevant to the US legal frameworkMinimum of 2 years of legal practice within US jurisdictionExcellent written English skills (C1/C2 level)Reliable internet connectionProject WorkflowProcess: Apply → Complete qualification(s) → Join a project → Carry out tasks → Receive paymentTime CommitmentDuring active phases, tasks are expected to require approximately 10–20 hours per week, contingent upon the project's demands. This estimate is not a guaranteed workload.CompensationContributors can earn up to $53 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and the specialized skills required.

Mindrift partners with technology leaders to connect specialists to AI projects worldwide. For the Tendem project (https://tendem.ai/), the focus is on building intelligent automation systems that combine Large Language Models (LLMs) with human expertise. The aim is to create scalable workflows that improve content generation, communication, and automation. Role overview This is a part-time, remote contract role as a Freelance AI Workflow Engineer (also known internally as "AI Pilot") for the Tendem project. The main focus is designing and refining LLM-powered workflows. Collaboration with Tendem Agents is central, with the goal of managing repetitive tasks and developing automation solutions. The work includes prompt engineering, workflow design, and quality control to ensure reliable results. Key responsibilities Design and evaluate workflows that use LLM APIs such as OpenAI, Claude, Gemini, or similar tools. Build and enhance AI automation systems for content generation, enrichment, and communication tasks. Develop and improve prompt frameworks to achieve consistent, high-quality outputs. Create systems for personalized automated outreach, including email and messaging flows, as well as lead enrichment. Structure and preprocess data to support stable model performance and trustworthy results. Analyze and optimize AI-driven pipelines for scalability, efficiency, and accuracy. Who this role suits This contract is well suited to those with hands-on experience in LLM integrations, prompt design, and automating AI systems. Structured thinking and a focus on quality are important. The position is remote and based in Stuttgart, Baden-Württemberg, Germany, but candidates can work from anywhere.

Mindrift partners with the Tendem project to combine AI technology and human expertise for building and optimizing automation workflows. This freelance role focuses on advancing automation by designing, refining, and supporting processes that reduce repetitive manual tasks. Role overview This is a remote, part-time freelance position based in Stuttgart, Baden-Württemberg, Germany. Mindrift calls this role an AI Pilot. The main focus is on developing and improving automation processes that increase efficiency, scalability, and reliability. Collaboration with Tendem Agents is central to the work, ensuring smooth integration between AI and human-driven systems. Key responsibilities Develop and refine automation workflows using Make.com and n8n Customize solutions with JavaScript to address project needs Work alongside human agents to identify and automate repetitive processes Support integration of AI and human-driven systems for seamless operations Requirements Experience with low-code automation platforms such as Make.com and n8n Strong JavaScript skills for workflow customization Background in workflow architecture and automation best practices Comfort working in a collaborative environment that blends AI and human input Position details Part-time, freelance contract Remote work based in Stuttgart, Baden-Württemberg, Germany

Please submit your CV in English and indicate your English proficiency level. toloka-ai, working with Mindrift, connects data science professionals to project-based contract work in AI. Assignments support technology companies as they develop, test, and evaluate AI systems. This is not a permanent employment role; work is structured around specific projects. Role overview Design computational data science problems that mirror analytics workflows in industries such as telecom, finance, government, e-commerce, and healthcare. Create problems requiring Python programming, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure challenges are computationally intensive, with solutions that would take significant manual effort. Develop scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Write deterministic problems with reproducible outcomes by avoiding randomness or using fixed seeds. Base challenges on real business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end data science tasks covering data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions in Python using standard data science libraries and statistical techniques. Document each problem clearly, provide realistic business context, and supply verified correct answers. Requirements Minimum 5 years of hands-on data science experience with demonstrated business impact. Portfolio of completed projects or publications showing practical problem-solving. Advanced Python programming for data science, including Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong background in statistical analysis and machine learning, with knowledge of key algorithms and applications. Solid SQL skills for data manipulation and analysis. Familiarity with GenAI tools and concepts (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English (C1+ level). Application process Apply Pass qualifications Join a project Complete tasks Receive compensation This freelance, remote position is open to candidates based in Stuttgart, Baden-Württemberg, Germany, as well as those working remotely.