Toloka AI is seeking a freelance specialist with a background in biology and Python programming. This remote role focuses on creating and delivering training content for learners interested in artificial intelligence. Role overview The Biology and Python Specialist will design educational materials that bridge concepts in biology with practical Python skills. The goal is to help participants build a strong foundation for work in AI-related fields. What you will do Develop training programs that combine biology topics with Python programming techniques Deliver instructional content to support learners as they build AI skills Requirements Expertise in biology Strong proficiency in Python Ability to communicate technical concepts clearly This freelance position is open to candidates based in Austria and offers the flexibility to work remotely.

Toloka AI seeks a freelance Civil Engineer with advanced Python skills to assist in training AI models. This contract position is open to professionals based in Austria and offers the flexibility of remote work. Role overview This role combines civil engineering expertise with Python programming to support AI development. Projects require both technical proficiency and domain knowledge, allowing for meaningful contributions to AI training efforts. What you will do Use civil engineering background and Python coding to help train and improve AI systems Work on projects that benefit from both engineering and programming skills Location This is a remote role for candidates based in Austria.

We invite you to submit your CV in English, highlighting your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities in collaboration with leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement, not a permanent position.Opportunity OverviewEach project presents unique tasks; contributors may:Design innovative computational engineering problems that replicate real-world engineering workflows;Develop problems that necessitate Python programming for solving engineering computations and simulations;Ensure that problems are computationally demanding, requiring numerical methods or iterative solutions;Create scenarios involving system design, optimization, and analysis;Base challenges on genuine research issues or practical applications derived from engineering practice;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct solutions.Desired QualificationsThis role is an excellent match for engineers experienced in Python who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language may also be acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;An understanding of practical engineering constraints 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.Application ProcessSteps to join:ApplyPass qualification(s)Join a projectComplete tasksReceive paymentProject Time CommitmentFor this role, tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimated workload applicable only during project activity.CompensationContributors can earn up to $50 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please note that other projects on our platform may offer varying earning levels according to their demands.

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we bridge the gap between specialists and project-based AI opportunities offered by leading technology companies, with a focus on evaluating, testing, and enhancing AI systems. Please note, this role is project-based and does not involve permanent employment.Opportunity Highlights:Each project entails distinct tasks, and contributors may:Craft innovative computational data science problems that mirror real-world analytical workflows across sectors such as telecom, finance, government, e-commerce, and healthcare.Develop challenges requiring Python solutions utilizing libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensure that problems are computationally demanding and cannot be manually resolved within a reasonable timeframe (days/weeks).Formulate problems that necessitate complex reasoning chains in areas like data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Produce deterministic problems with reproducible outcomes, avoiding stochastic elements unless fixed random seeds are provided for exact replication.Base problems on actual business challenges, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Design comprehensive problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Integrate big data processing scenarios that require scalable computational techniques.Validate solutions utilizing Python alongside standard data science libraries and statistical approaches.Clearly document problem statements within realistic business contexts and provide verified correct answers.What We Are Looking For:This opportunity suits Data Science specialists with expertise in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:5+ years of hands-on data science experience demonstrating tangible business impact.A portfolio of completed projects and publications that showcase real-world problem-solving capabilities.Proficiency in Python programming for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels).Advanced skills in statistical analysis and machine learning, with a deep understanding of algorithms, methods, and their practical applications.Expertise in SQL and database operations for data manipulation and analysis.Experience with Generative AI technologies (LLMs, RAG, prompt engineering, vector databases).Familiarity with MLOps practices and model deployment workflows.Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain.Exceptional written English skills (C1+).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform connecting talented specialists with exciting project-based opportunities in artificial intelligence for leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in tasks such as:Designing original computational statistics problems that reflect real mathematical research workflows;Creating Python programming challenges utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes;Generating problems that require complex reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;Formulating challenges based on genuine research issues or practical applications in mathematics;Validating solutions using Python with standard mathematical libraries;Clearly documenting problem statements and providing verified correct solutions.QualificationsThis role is perfect for statistics professionals with experience in Python who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also valuable;Over 2 years of professional experience in applied work, research, or teaching;Strong written English skills (C1+ proficiency);Professional certifications such as CMME, SAS Certifications, or CAP and involvement in international or applied projects are advantageous.How It WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors may earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation varies based on project scope, complexity, and required skills. Please note that other projects on the platform may offer different pay rates based on their specific requirements.

Mindrift connects professionals with project-based AI training work for technology companies. This freelance role focuses on testing, evaluating, and improving AI systems through chemistry and Python expertise. Participation is on a project basis, not as a permanent employee. What you will do Create computational chemistry problems that reflect real research workflows Design tasks that require Python programming to solve, using tools like numpy, scipy, and chemical libraries Ensure problems are computationally intensive and not solvable manually in a reasonable time Develop scenarios involving complex reasoning in physical chemistry, quantum chemistry, or molecular modeling Base problems on genuine research challenges or practical chemistry applications Validate solutions in Python, applying standard computational chemistry methods Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable At least 2 years of relevant experience in application, research, or education Experience with numerical methods in chemistry Strong grasp of computational chemistry concepts and techniques Exceptional written English skills (C1+ level) Project workflow The process includes application, a qualification stage, project engagement, task completion, and compensation. Time commitment During active periods, tasks typically require about 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload. Compensation Contributors may earn up to $29 per hour, depending on expertise and pace. Actual compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates based on their requirements. Please submit your CV in English and include your English proficiency level.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not constitute permanent employment. Role overview This freelance, remote position is for a Material Scientist with Python expertise to help train AI systems. Work centers on developing and validating engineering challenges, with projects varying in scope and focus. Contributors may: Create original materials and engineering problems based on real-world workflows Design problems that involve Python programming for calculations and simulations Develop computationally intensive problems requiring numerical methods or iterative solutions Build challenges related to system design, optimization, and analysis Base problems on genuine research questions or practical engineering scenarios Validate solutions using Python and standard engineering libraries Document problem statements with clear, accurate answers Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or domain-specific libraries is also accepted At least 2 years of professional experience (applied, research, or teaching) Strong understanding of practical engineering constraints and approximations Excellent written English (C1 level or above) Project process Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment Active project phases usually require about 10–20 hours per week. Actual workload depends on project needs and is not guaranteed. Compensation Contributors may earn up to $45 per hour, depending on expertise and task completion speed. Pay rates vary by project according to complexity, scope, and required skills. Other projects on the platform may offer different compensation based on their requirements.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with innovative, project-based AI opportunities for leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems across various domains. Please note that participation in our projects is temporary and not a permanent employment opportunity.Opportunity OverviewWhile each project presents its own unique challenges, contributors can expect to:Design original computational physics problems that reflect authentic physics research workflows;Create challenges requiring advanced Python programming skills (including Numpy, SciPy, and Sympy) to find solutions;Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days or weeks);Develop scenarios necessitating intricate reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research hurdles or practical applications in the field of physics;Validate solutions utilizing Python with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis role is well-suited 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 a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and/or other programming languages considered equivalent;A minimum of 2 years of professional experience, encompassing applied physics, research, or teaching roles;Experience with numerical simulation methods;The capability to design problems that accurately mirror real physics research workflows;Creative problem-solving skills across various areas of physics;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1 level or above).Application ProcessApply → Pass qualifications → Join a project → Complete tasks and get compensated.Project Time CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is just an estimate and does not guarantee a specific workload.CompensationContributors can earn up to $45 per hour, depending on their level of expertise and contribution pace. Please note that compensation may vary across projects based on their complexity and requirements.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities at leading tech firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project presents distinct tasks, and contributors may be involved in:Creating original computational physics challenges that replicate real-world physics research processes;Formulating problems that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that tasks are computationally demanding and cannot be resolved manually within practical timeframes (days/weeks);Designing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Developing problems based on authentic research issues or practical applications in the field of physics;Validating solutions with Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is ideal for optical engineers experienced in Python who are open to part-time, non-permanent project work. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) 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 professional experience: applicable experience may include applied, research, or teaching roles;Experience with numerical simulation techniques;The ability to create problems that reflect genuine physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation strategies;Strong written English proficiency (C1+).Application ProcessSteps to participate: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active phases, project tasks are expected to require approximately 10–20 hours per week, depending on project specifics. This is an estimate and not a guaranteed workload for the project duration.CompensationContributors can earn up to $45 per hour, contingent on their expertise and contribution pace. Compensation rates may vary across different projects based on scope, complexity, and required skills. Please note that other projects on the platform may present different earning potentials based on their specific requirements.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform connecting skilled professionals with project-based AI opportunities in leading tech companies. We focus on testing, evaluating, and enhancing AI systems, providing contributors a chance to work on innovative projects without the commitment of permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in the following:Creating original materials that simulate real-world engineering workflows;Developing engineering problems that require Python programming for calculations and simulations;Ensuring the problems are computationally intensive, necessitating numerical methods or iterative solutions;Designing problems related to system design, optimization, and analysis;Grounding problems in actual research challenges or practical engineering applications;Validating solutions through Python using standard engineering libraries;Clearly documenting problem statements and providing verified solutions.QualificationsWe are seeking material scientists and engineers with Python experience who are interested in part-time, project-based roles. 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 other programming languages is acceptable;At least 2 years of professional experience, including applied, research, or teaching roles;A strong grasp of practical engineering constraints and approximations;Excellent written English skills (C1+ level).Application ProcessApply → Pass qualification(s) → Join a project → Complete assigned tasks → Receive compensation.Project CommitmentTasks for this project are estimated to require approximately 10-20 hours per week during active phases, depending on project demands. This estimate is not a guaranteed workload and applies only while the project is active.CompensationContributors can earn up to $45 per hour, depending on their level of expertise and contribution speed. Please note that compensation may vary across different projects based on scope, complexity, and required skills.

Mindrift connects skilled professionals with project-based opportunities to support leading tech companies in testing, evaluating, and improving AI systems. This freelance role with toloka-ai is remote and based in Austria. Participation is strictly project-based and does not constitute permanent employment. Role overview Freelance AI Trainers specializing in Mathematics and Python contribute to a range of projects. Work includes: Designing original computational mathematics problems that mirror real research workflows Developing challenges that require Python programming for solutions, using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally complex, requiring more than a reasonable amount of manual effort to solve Creating tasks that involve intricate reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on authentic research questions or practical scenarios from mathematical practice Validating solutions using Python and standard mathematical libraries Documenting problem statements clearly and providing verified 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, or similar tools is also acceptable At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems that reflect real mathematical research workflows Strong grasp of computational complexity theory Exceptional written English skills (C1 level or higher) Project commitment Expect to dedicate about 10–20 hours per week during active project periods. Actual workload may vary depending on project needs and is not fixed. Compensation Contributors may earn up to $45 per hour, depending on the nature and complexity of the project and individual contribution. Rates can vary across different projects on the platform. Application process Submit a CV in English, including your English proficiency level. The process includes qualification steps, joining a project, completing assigned tasks, and receiving payment upon completion.

This freelance Data Scientist (Python & SQL) role with toloka-ai is project-based and remote, open to candidates located in Austria. Mindrift connects experienced data science professionals with assignments that focus on evaluating and improving AI systems for major technology companies. Work is assigned per project and is not a permanent position. Key Responsibilities Design computational data science challenges that mirror real-world analytical scenarios in sectors such as telecommunications, finance, government, e-commerce, and healthcare. Develop problems requiring Python programming, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are sufficiently complex to prevent manual solutions within days or weeks. Create tasks involving advanced reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Produce deterministic and reproducible problems, using fixed seeds for any randomness. Base challenges on business cases such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing scenarios that require scalable solutions. Validate solutions using Python and standard statistical techniques. Document each problem with clear business context and provide verified, correct answers. Requirements At least five years of hands-on data science experience with measurable business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving skills. Advanced Python programming skills for data science, including Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong knowledge of statistical analysis and machine learning algorithms and applications. Expertise in SQL and database operations for data manipulation and analysis. Familiarity with Generative AI technologies such as LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Experience with frameworks like TensorFlow, PyTorch, or LangChain. Excellent written English (C1 level or higher). Application Process Submit your CV in English and indicate your English proficiency level. Complete the qualification process. Join a project upon acceptance. Work on assigned tasks. Receive payment after task completion. Please submit your CV in English and indicate your English proficiency level.

We invite you to submit your CV in English, including your English proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities from leading tech organizations. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based opportunity, not permanent employment.Key Responsibilities:Design innovative computational physics problems that emulate authentic physics research workflows.Develop challenges that require Python programming for resolution (utilizing Numpy, SciPy, Sympy).Ensure problems are computationally intensive, taking days or weeks to solve manually.Create problems that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics.Formulate problems based on real-world research challenges or practical applications in the field of physics.Validate solutions through Python using standard physics simulation libraries.Clearly document problem statements and provide verified correct answers.Qualifications:This role is ideal for physicists with Python experience who are looking for part-time, non-permanent projects. The preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a closely related field.Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is acceptable).A minimum of 2 years of professional experience in applied physics, research, or teaching.Experience with numerical simulation methods.Ability to craft problems that reflect genuine physics research workflows.Creative problem-solving skills across diverse areas of physics.Familiarity with physics modeling and approximation techniques.Strong written English skills (C1 or higher).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.Project Expectations:For this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent upon project demands. This estimate is not a guarantee of workload and only applies while the project is ongoing.Compensation:Contributors can earn up to $45 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Be aware that other projects on the platform may offer different pay scales based on their specific requirements.

We invite you to submit your CV in English, highlighting your proficiency in the language.At Mindrift, we specialize in linking talented professionals with exciting, project-based opportunities in AI for prestigious tech firms. Our primary focus is on the testing, evaluation, and enhancement of AI systems. Please note that all positions are project-based and not intended as permanent employment.Key Responsibilities:Develop innovative computational data science challenges that replicate real-world analytical tasks across various sectors, including telecom, finance, government, e-commerce, and healthcare.Formulate problems solvable through Python programming, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensure that the tasks are computationally demanding and cannot be solved manually in a reasonable timeframe.Design problems requiring complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Create deterministic problems with reproducible outcomes, avoiding stochastic elements or mandating fixed random seeds for consistency.Base challenges on actual business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Construct end-to-end problems that encompass the entire data science workflow from data ingestion to deployment considerations.Incorporate scenarios that necessitate scalable computational techniques for big data processing.Validate solutions using Python and standard data science libraries, employing statistical methods.Clearly document problem statements with realistic business contexts, providing verified correct answers.Candidate Profile:This opportunity is ideal for data science experts with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:5+ years of practical data science experience with demonstrable business impact.A portfolio of completed projects and publications that showcase their problem-solving capabilities.Proficient Python programming skills for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels).Expertise in statistical analysis and machine learning, with a deep understanding of algorithms and practical applications.Advanced SQL skills for data manipulation and analysis.Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).Familiarity with MLOps practices and workflows for model deployment.Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain.Strong written English skills (C1 or higher).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.

Please submit your CV in English and indicate your English proficiency level. toloka-ai, in partnership with Mindrift, connects professionals to project-based freelance roles focused on testing, evaluating, and improving AI systems for leading technology companies. All roles are freelance and project-based, not permanent employment. Role overview This Freelance Data Science Engineer position centers on designing and validating advanced computational problems for real-world analytics. Projects span sectors such as telecom, finance, government, e-commerce, and healthcare. The work is fully remote and open to candidates based in Austria. What you will do Design computational data science problems that reflect actual business workflows across multiple industries. Develop solutions in Python using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Create complex, algorithmic problems that require computational rather than manual solutions. Build data processing challenges involving statistical analysis, feature engineering, predictive modeling, and insight extraction. Ensure problems are deterministic and reproducible by avoiding randomness or using fixed seeds. Base challenges on real business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design problems that cover the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing cases that require scalable computation. Validate solutions in Python using standard libraries and statistical methods. Document each problem with clear business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving. Advanced Python programming skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and methodologies. Expertise in SQL and database operations for data manipulation and analysis. Familiarity with Generative AI, such as large language models, retrieval-augmented generation, prompt engineering, and vector databases. Knowledge of MLOps practices and model deployment workflows. Experience with frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills at C1 level or higher. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation

Mindrift is looking for a Freelance AI Workflow Engineer to join the Tendem project (https://tendem.ai/). This part-time, remote position is open to candidates based in Austria. The role centers on building automation systems powered by Large Language Models (LLMs), with a focus on seamless collaboration between AI and human contributors. Key Responsibilities Create and improve AI-driven workflows that blend automated processes with human judgment Act as an AI Pilot, working with Tendem Agents to oversee and enhance repetitive tasks Use structured thinking and prompt engineering to boost workflow efficiency and scalability Maintain quality assurance throughout the workflow development cycle Requirements Background in integrating LLMs into automation systems Experience with prompt design and quality assurance in AI projects Interest in part-time, remote work within Austria

Mindrift is on the lookout for talented Low-Code Automation Engineers (Make.com / n8n, JavaScript) to contribute to the Tendem project (https://tendem.ai/). In this pivotal role, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents to create effective automation workflows within our innovative hybrid AI + human framework.As a Low-Code Automation Engineer, your primary responsibilities will involve designing, constructing, and refining advanced automation processes that ensure seamless execution and scalability across various platforms. Your expertise in structured thinking and quality control will be essential to guarantee reliable workflows that integrate multiple systems efficiently.This part-time, fully remote position is perfect for professionals with practical experience in low-code automation technologies, workflow design, and JavaScript customization.

Join Mindrift as an AI Workflow Engineer for the innovative Tendem project (https://tendem.ai/). In this exciting role, you will harness the power of Large Language Models (LLMs) to create intelligent automation systems within a collaborative AI + human framework.As an AI Pilot, you will work alongside Tendem Agents to streamline repetitive tasks while applying your prompt engineering skills and structured thinking to ensure the delivery of robust and scalable AI-driven workflows.This part-time remote position is perfect for professionals experienced in LLM integrations, prompt design, and automation systems powered by AI.About MindriftAt Mindrift, we connect experts with cutting-edge AI initiatives from leading tech companies. Our goal is to unleash the potential of Generative AI by integrating real-world expertise from across the globe.Role OverviewAs a Freelance AI Workflow Engineer, your responsibilities will include designing, building, and optimizing workflows that utilize LLM APIs, creating scalable systems for content generation, communication, and automation.Key ResponsibilitiesDesign and assess workflows that integrate LLM APIs (such as OpenAI, Claude, and Gemini).Develop and enhance AI-powered automation systems for content generation and communication.Create and refine prompt frameworks to ensure consistent, high-quality outputs across workflows.Establish systems for personalized automated outreach (email, messaging, lead enrichment).Structure and preprocess data to maintain stable model behavior and reliable outputs.Analyze and optimize AI-driven pipelines for scalability, efficiency, and accuracy.CompensationContributors can earn up to $60 per hour, depending on experience and contribution pace. Please note that compensation varies across projects based on complexity and expertise required.

Mindrift connects skilled specialists with AI projects led by technology innovators. The team’s mission is to apply practical expertise from around the world to real-world Generative AI challenges. Role overview This freelance, part-time Integration Developer (API Specialist) position supports the Tendem project (https://tendem.ai/). The role is fully remote and open to candidates based in Austria. Internally known as an AI Pilot, this position centers on designing, building, and improving integrations between business systems. The goal: maintain consistent, reliable data flow across multiple platforms in a hybrid AI and human collaboration setting. What you will do Design and assess integrations between systems such as CRMs, advertising platforms, and email tools. Develop and refine workflows using APIs, webhooks, and both real-time and batch data pipelines. Connect and synchronize databases across platforms like Airtable, Google Sheets, and Notion. Ensure reliable, real-time data transfer and consistency across connected services. Troubleshoot and optimize data flow, addressing latency and failure management. Support integration of automated communication systems, including messaging, outreach, or telephony workflows. Who thrives here This role fits professionals with hands-on experience in APIs, webhooks, and building data pipelines across multiple systems. Those who enjoy part-time, remote work on innovative projects will find this position a good match. Compensation Contributors on the Tendem project can earn up to $60 per hour, depending on expertise and work pace. Compensation for other projects may vary based on specific requirements.