Freelance AI Trainer - Material Scientist with Python Expertise

Mindrift is looking for a Freelance Python Data Scraping Engineer to join its remote team, supporting projects from Stuttgart, Baden-Württemberg, Germany. This part-time, freelance position centers on the Tendem project, where engineers contribute as "AI Pilots" to streamline and improve data workflows. Role overview This role focuses on extracting, processing, and validating data from complex and dynamic web sources. The engineer collaborates with Tendem Agents, applying analytical skills and domain expertise to ensure data is accurate and relevant. Work is fully remote and designed for professionals with a strong background in web scraping and data processing. What you will do Lead data extraction projects on complex websites, delivering structured datasets that meet quality standards. Use internal tools such as Apify and OpenRouter, along with custom workflows, to collect, verify, and process data according to project needs. Develop and refine scraping methods for dynamic and interactive sites, including those with JavaScript-rendered content or frequent changes. Maintain high data quality through validation checks, consistency controls, formatting compliance, and systematic verification. Optimize large-scale scraping using batching or parallel processing, and build resilience against minor site structure changes. Requirements Minimum 3 years of hands-on experience in data engineering, web scraping, and automation. Compensation Contributors can earn up to $32 per hour, depending on project complexity, performance, and expertise. Actual rates may vary between projects. How to apply Submit an application through the provided link. Qualified candidates are matched with projects that suit their technical strengths and can set their own schedules. Work includes programming, automation, and refining AI outputs, supporting the practical use of AI in real-world scenarios.

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

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.

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.

This freelance, project-based role with Mindrift connects electrical engineers and Python specialists to remote AI training projects. Projects are based in Stuttgart, Baden-Württemberg, Germany, but work is fully remote. Mindrift specializes in testing, evaluating, and improving AI systems for leading technology companies. Role overview Contributors design and validate computational engineering challenges that support AI training. Each project introduces new tasks. Typical responsibilities include: Creating computational engineering problems modeled on real-world workflows Developing challenges that require Python programming for calculations and simulations Ensuring problems are computationally intensive, using numerical methods or iterative solutions Focusing on system design, optimization, and analysis within problem sets Formulating challenges based on authentic research questions or practical engineering scenarios Validating solutions using Python and standard engineering libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Electrical Engineering or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued At least 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Strong written English skills (C1 level or above) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks usually require about 10 to 20 hours per week. Actual workload may vary by project and is not guaranteed. Compensation Contributors can earn up to $50 per hour, depending on expertise and pace. Rates may differ across projects based on scope, complexity, and required skills. Other projects on the platform may offer different rates according to their specific requirements. To apply, please submit your CV in English and specify your English proficiency level.

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

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 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

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based freelance roles focused on advancing AI systems for major tech companies. Projects involve testing, evaluating, and improving AI capabilities. This is a freelance, project-based position, not a permanent job. Role overview This freelance Physics Specialist position centers on designing and validating computational physics problems for AI projects. Assignments often involve: Creating physics problems that mirror real research workflows Developing challenges that require Python programming to solve, often using libraries like Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and not easily solved by hand Covering areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing tasks on real research issues or practical physics applications Validating solutions using Python and standard simulation libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or relevant libraries is a plus At least 2 years of professional experience, such as research or teaching Background in numerical simulation methods Ability to design problems reflecting real research workflows in physics Creative problem-solving across multiple physics domains Familiarity with modeling and approximation techniques Written English at C1 level or higher How projects work Apply Complete qualification steps Join a project Work on assigned tasks Receive compensation Time commitment During active project periods, tasks typically require 10–20 hours per week. Workload may fluctuate based on project needs, and there is no guaranteed minimum number of hours. Compensation Contributors may earn up to $45 per hour, depending on expertise and project complexity. Actual rates and earning potential can vary between assignments.

Please submit your CV in English and include your English proficiency level. Mindrift connects specialists with project-based AI work for major technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a contract position, not a permanent role. Role overview This Optical Engineer position focuses on developing and validating computational physics challenges to support AI research. The work involves designing original problems that reflect real research workflows in physics, especially those requiring Python programming to solve. Tasks may include: Creating computational physics problems based on real research questions or practical applications Writing problems that require Python solutions, using tools such as Numpy, SciPy, and Sympy Ensuring challenges are computationally intensive and not solvable by hand within a reasonable timeframe Developing complex problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics Validating solutions in Python with standard physics simulation libraries Documenting problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or other programming languages is also welcome At least 2 years of professional experience in applied, research, or teaching roles Background in numerical simulation methods Experience designing problems that reflect real physics research Creative problem-solving skills across physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills (C1 level or higher) Workflow Apply Complete qualification steps Join a project Carry out assigned tasks Receive payment Time commitment During active project phases, expect to spend about 10–20 hours per week. Workload may vary depending on project needs and timing. Compensation Earn up to $45 per hour, depending on expertise and pace. Rates for other projects on the platform may differ based on complexity and requirements. Location This is a remote role based in Stuttgart, Baden-Württemberg, Germany.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for leading technology companies. Projects focus on improving, evaluating, and testing AI systems. This is a non-permanent, project-based position. Role overview The Freelance AI Trainer (Research Physicist with Python Skills) role involves designing and validating computational physics problems for AI training projects. Each assignment brings a new set of challenges, often rooted in real research scenarios. Create computational physics problems that reflect actual research workflows Develop challenges requiring Python programming, using libraries such as Numpy, SciPy, and Sympy Ensure problems are complex enough to require computational solutions Cover topics in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base challenges on real research questions or practical physics applications Validate solutions in Python, using established physics simulation libraries Document problem statements clearly and provide verified answers Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus Minimum 2 years of professional experience (applied, research, or teaching) Familiarity with numerical simulation methods Ability to design problems that reflect authentic physics research Creative problem-solving skills across different physics domains Understanding of physics modeling and approximation techniques Excellent written English (C1+ level) Project process Submit an application Complete qualification steps Join a project Work on assigned tasks Receive payment Time commitment Expect to work approximately 10–20 hours per week during active project phases. Actual hours may vary depending on project needs, and no specific workload is guaranteed. Compensation Contributors may earn up to $45 per hour, depending on expertise and pace. Rates vary by project based on scope, complexity, and required qualifications. Other projects on the platform may offer different compensation levels. Location This remote role is open to candidates based in Stuttgart, Baden-Württemberg, Germany.

Please submit your CV in English and highlight your proficiency in the language. Mindrift connects specialists with project-based AI work for leading technology companies. Projects center on testing, evaluating, and improving AI systems. All work is freelance and organized on a per-project basis, not as permanent employment. Role overview This freelance position focuses on developing and evaluating challenging computational physics problems for AI training. Assignments vary and may include: Designing advanced problems that reflect real research workflows in physics Creating tasks that require Python programming, using libraries such as Numpy, SciPy, and SymPy Ensuring problems are computationally intensive and cannot be solved manually within days or weeks Developing scenarios involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Drawing on actual research challenges or practical applications in physics Verifying solutions using Python and standard simulation libraries Clearly documenting problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also valued At least 2 years of professional experience in applied research, teaching, or related areas Background in numerical simulation methods Ability to design problems that mirror authentic research workflows in physics Creative problem-solving across multiple physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or higher Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Projects typically require 10–20 hours per week during active phases. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $45 per hour, depending on expertise and speed. Rates vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation levels. Location This is a remote freelance role based in Stuttgart, Baden-Württemberg, Germany.

Toloka Annotators seeks a Freelance AI Trainer - Data Annotation Specialist for a remote contract based in Stuttgart, Baden-Württemberg, Germany. This role centers on providing accurate and consistent data annotation to help train and refine AI models. Key responsibilities Annotate diverse datasets to support the development of machine learning systems Maintain accuracy and consistency throughout all labeling tasks Contribute to the improvement of AI models by delivering high-quality data What we look for Genuine interest in AI technology and its uses Reliable, detail-oriented approach with a commitment to quality

Please submit your CV in English and indicate your English proficiency level. Mindrift connects experienced specialists with project-based AI work for technology companies. Assignments focus on testing, evaluating, and improving AI systems. This freelance, project-based position does not offer permanent employment. Role overview As a Freelance AI Evaluation Engineer, the primary focus is building a dataset to assess AI coding agents using real-world developer tasks. The work involves designing detailed tasks and evaluation methods in realistic simulated environments. Main responsibilities Create virtual companies from high-level plans, including codebases, infrastructure, and realistic context such as conversations, documentation, and tickets that reflect authentic development history. Develop and refine tasks for different stages of the virtual company. This includes writing prompts, setting evaluation criteria, and ensuring tasks are solvable and assessments are fair. Design assignments for isolated environments that mimic a developer's workstation, using a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a real web application codebase. Build tests that accept all valid solutions and reject incorrect ones, aiming for balanced strictness. Work with an AI agent to confirm that tests detect real issues, do not overlook errors, and validate correct solutions. Review code generated by agents, analyze why solutions succeed or fail, and invent edge cases and adversarial scenarios. Incorporate feedback from expert QA reviewers to improve your work and meet quality standards. Scope clarifications This position does not include data labeling. This position does not cover prompt engineering. Writing code from scratch is not required. The AI agent handles most coding; your focus is on guidance and evaluation. Much of the work involves collaborating directly with AI systems, as designing challenges for advanced models requires hands-on interaction with those models.

Role overview Toloka AI seeks a Freelance Machine Learning Engineer to contribute to remote projects connected to Stuttgart, Baden-Württemberg, Germany. The position centers on building and enhancing machine learning models used in advanced AI applications. What you will do Develop and improve machine learning models for various AI projects Apply technical knowledge to help design and implement new AI applications Location This contract position is fully remote. Candidates should be based in or near Stuttgart, Baden-Württemberg, Germany.

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

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.

At Zoi, we revolutionize manufacturing and retail through AI-driven strategies that yield tangible business outcomes. Our approach goes beyond mere consultation; we actively implement, operate, and scale solutions that transform AI integration into a competitive edge.We are excited to expand our teams across Europe, particularly in Stuttgart and Berlin, with opportunities for travel between these locations.ROLE OVERVIEWTake charge: You will conceptualize and lead complex data projects, including the design of enterprise-scale big data platforms.Collaboration is key: You will thrive in interdisciplinary teams, bringing diverse perspectives to the table.Delivering value: As a seasoned expert, you will craft tailored solutions that address client needs while providing guidance throughout the project lifecycle.Utilizing your expertise: Your proficiency in building code-driven data transformation and cleansing pipelines (e.g., Airflow, Spotify Luigi) will be invaluable.WHO YOU AREYou hold a degree in (business) mathematics, computer science, or a related field.You bring at least 5 years of relevant experience in data engineering, especially with databases and large datasets.Your strong command of programming languages such as Python or R is essential.Your solid understanding of cloud computing will propel our initiatives forward.You possess extensive experience in cloud data processing, including object storage, data warehouses, and serverless data pipelines.You have excellent communication skills, able to convey complex technical concepts to both technical and non-technical audiences.Your proficiency in written and spoken English is exceptional.If you enjoy working alongside brilliant minds, Zoi is the place for you. Join our community of tech enthusiasts and unlock your full potential as you contribute to the sustainable digital transformation of our enterprise clients.

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.