For a challenging SAP S/4HANA project, we're looking for an experienced SAP developer (m/f/d) specializing in central contracts in the MM module, who will be responsible for the functional and technical implementation following the SAP Clean Core strategy. Your tasks - Development and implementation of features to map central contracts in the MM module based on SAP S/4HANA - Implementation of enhancements and applications strictly following clean core principles - Development of Fiori apps with Fiori Elements and developer adaptations in the Business Application Studio (BAS) - Creation and extension of CDS views including annotations - Development of modern ABAP solutions based on the RAP model - Use of key user extensibility tools - Support in analyzing and resolving existing MM customizing issues (central contracts) in close cooperation with the business department - Collaboration with business, IT, and if needed, external partners

We are looking for a consultant (m/f/d) to drive the further development of supply chain processes after the SAP S/4HANA go-live. You will shape processes and establish standards. Tasks: - Analyze, optimize, and digitize processes along the supply chain (goods receipt, intralogistics, warehouse processes, shipping) - Support stabilization and further development of the SAP S/4HANA and EWM system landscape after go-live - Act as SAP EWM power user/key user and main interface between logistics, IT, and external consultants - Record system issues, assess them, and develop solutions - Develop process strategies and design a best-practice process landscape in logistics - Create concepts for process improvement - Train key users and staff on all relevant SAP logistics topics - Support tests, change requests, and system adjustments - Lead projects independently – from planning to successful implementation and follow-up

An established company is looking for an experienced ERP Transformation Manager to take full responsibility for planning and steering a comprehensive ERP transformation program. The project's goal is harmonizing processes, implementing a new ERP system, and meeting IFRS requirements. The ERP Transformation Manager will analyze, redesign, and standardize the commercial core processes in civil and rail construction. This includes translating IFRS requirements into system structures and posting logic, closely coordinating with Finance, Controlling, Project Management, and IT departments. The role includes managing the ERP rollout, including fit-gap analysis, process design, test management, and migration. In addition, a unified reporting and KPI framework for group financial statements and project management will be established. The manager will act as the central interface between operational units, Finance, management, and the group, and will set up a sustainable change and training concept for users. - Planning and steering the ERP transformation program (IFRS transition, process harmonization, ERP rollout) - Analyzing, redesigning, and standardizing commercial core processes - Translating IFRS requirements into system structures and posting logic - Managing the ERP rollout, including fit-gap analysis, process design, test management, and migration - Building a unified reporting and KPI framework - Stakeholder management and ensuring smooth communication - Leading interdisciplinary project teams and managing external consultants and implementation partners - Establishing a sustainable change and training concept - Ensuring measurable process improvements after the ERP system goes live

Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. Although every project is unique, you might typically: - Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Physics, while also developing references and examples of tasks. - Experts Acquisition: Assess the qualification tests of experts, ensuring their competency. - Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines. - Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.

Freelance – Accounting Specialist (m/f/d) – Conversion from Oracle to SAP For one of our clients, we are looking for an experienced professional in financial accounting (m/f/d). The project involves converting the ERP system from Oracle to SAP Tasks: - Support the ERP transition from Oracle to SAP - Analyze and document existing financial processes (accounts payable, accounts receivable) - Ensure legal compliance and closing capability in the new system

For an AI lab we are looking for Mechanical Engineer with python experience to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Mechanical Engineering, while also developing references and examples of tasks. - Experts Acquisition: Assess the qualification tests of experts, ensuring their competency. - Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines. - Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.

To strengthen data-driven cross & upsell as well as retention campaigns, Customer Interaction runs a platform where campaign processes including a profiler are developed, orchestrated and monitored. For this, support is needed in the following areas: Analysis & Consulting - Business and technical analysis of existing campaign processes - Consulting on data flows, selections and profiling strategies PL/SQL Development - Implementation and optimization of data selection, transformation and aggregation flows in Oracle PL/SQL - Mapping of specified business logic for customer segmentation Testing & Quality Assurance - Planning and execution of unit, integration and regression tests - Documentation of test cases and results Operations & Monitoring - Monitoring of running jobs and workflows (performance, error handling) - Tuning of SQL queries and batch processes Communication Outputs - Integration and provisioning of delivery channels email, SMS, outbound call and mail - Implementation of data-driven personalization and targeting

A company is looking for an experienced Commissioning & Qualification (C&Q) Engineer to qualify and commission production equipment according to GMP standards. The goal of the project is to ensure the technical and organizational prerequisites for GMP-compliant qualification of the production equipment. - Independent execution of commissioning and qualification activities, especially in IOQ - Operation of PCS7 systems - Working with single-use equipment - Carrying out commissioning and qualification activities for production equipment - Ensuring all technical and organizational prerequisites for C&Q - GMP-compliant qualification of the related production equipment

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Chemistry, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Correct the model’s responses based on your domain-specific knowledge.

Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. Although every project is unique, you might typically: - Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Physics, while also developing references and examples of tasks. - Experts Acquisition: Assess the qualification tests of experts, ensuring their competency. - Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines. - Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.

An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows. This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time. Key responsibilities: - Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross-referencing authoritative sources. - Perform web scraping and data extraction by navigating complex website structures and multi-level pages (regions → companies → detailed pages). Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well-formatted CSV files. - Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required. - Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. - - Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality. - Apply strong problem-solving and task execution skills to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision. - Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.

A company is seeking support for the project to evaluate, implement and further develop quality surveys in digital channels. The goal of the project is to increase customer satisfaction in digital channels, evaluate, implement and enhance survey methods to enable consistent collection of customer satisfaction across all channels. Improvement potentials should be identified and implemented. The role includes consulting, developing and implementing measures to collect and improve customer satisfaction in digital channels. Main tasks: - Consulting on survey methods for gathering customer experience and quality in digital channels, market standards, benchmarks and future orientation. - Developing a future model for quality in digital channels, relevant KPIs and survey methods as well as standard processes. - Implementing the decided measures including interface management and coordination with technology partners and social partners. - Testing implemented measures to collect data and ensure all required criteria are met. - Consolidating and listing existing and missing customer survey methods/quality KPIs across all responsible digital channels. - Advising on the preparation of decision templates and implementing the necessary measures. - Identifying improvement potentials and developing a standard process for transparency and implementation.

- Product and web development in a data-driven environment - Contribute to software architecture for new data products - Collaboration in interdisciplinary teams (including data scientists and business developers)

For an AI lab we are looking for Statistics Expert with python experience to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Correct the model’s responses based on your domain-specific knowledge.

For an AI lab we are looking for Machine learning experts to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Design original computational STEM problems that simulate real scientific workflows - Create problems that require Python programming to solve - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches - Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn) - Document problem statements clearly and provide verified correct answers

For an AI lab we are looking for phycists with python experience to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a phycist, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Design original computational physic problems that simulate real research workflows. - Create problems requiring Python programming to solve (using numpy, scipy, sympy). - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). - Develop problems requiring non-trivial reasoning chains. - Base problems on real research challenges or practical applications from physical practice. - Verify solutions using Python with standard libraries. - Document problem statements clearly and provide verified correct answers.

For an AI lab we are looking for mathematicians with python experience to train an AI model (Large Language Model - LLM). As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. Although every project is unique, you might typically: - Design original computational mathematics problems that simulate real mathematical research workflows. - Create problems requiring Python programming to solve (using numpy, scipy, sympy). - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis. - Base problems on real research challenges or practical applications from mathematical practice. - Verify solutions using Python with standard mathematical libraries. - Document problem statements clearly and provide verified correct answers. Support in: - Number Theory: Prime factorization, Diophantine equations, modular arithmetic, cryptographic computations. - Combinatorics: Enumerations, partitions, generating functions, combinatorial optimization. - Graph Theory: Network analysis, path finding, graph coloring, spanning trees. - Numerical Analysis: Root finding, numerical integration, differential equations, matrix computations. - Discrete Mathematics: Recurrence relations, algorithmic complexity, discrete optimization. - Algebra: Polynomial computations, group theory calculations, matrix decompositions.

For an AI lab we are looking for AI Agent Evaluation Analyst to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities - Reviewing evaluation tasks and scenarios for logic, completeness, and realism. - Identifying inconsistencies, missing assumptions, or unclear decision points. - Helping define clear expected behaviors (gold standards) for AI agents. - Annotating cause-effect relationships, reasoning paths, and plausible alternatives. - Thinking through complex systems and policies as a human would to ensure agents are tested properly. - Working closely with QA, writers, or developers to suggest refinements or edge case coverage.

- A company is looking for an experienced business analyst to support the transformation from SAP ECC to S/4HANA Utilities. - The project aims to analyze, document, and optimize output and archiving processes, as well as create functional designs and specifications. - The analyst will work closely with product owners, IT, and business units to align on feasibility, effort, and prioritization of requirements.

For an AI lab we are looking for cybersecurity consultants to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities - Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks. - Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents. - Develop and implement automation scripts, custom tools, environments and test harnesses. - Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model. - Advise on cybersecurity best practices and policy implications.

- Implementation of category management (turned, milled, drawing parts; sheets, electronic components) - ERP migration from Sage B7 > D365 Finance+Operations (SCM) - Risk management - Operational on-time procurement and strategic planning of direct materials and services in assigned categories - Conducting negotiations and promoting strategic partnerships - Supplier evaluation and qualification of key suppliers - Risk management within the supply chain and categories - Invoice processing - Complaint handling in collaboration with quality management - Close cooperation with the specialist departments to ensure quality and material availability

- Responsibility for coordinating and managing the entire production process of magazine publications - Planning and monitoring issue structure, deadlines, advertisements, and workflows - Close collaboration with editorial, publishing management, marketing, IT, sales, printers, and service providers - Quality assurance of layouts, copy, and print approvals - Cost calculation and organization of supplementary products (e.g., inserts, posters, expansions) - Active role in strategic projects, conferences, and the launch of new formats

For an AI lab we are looking for German-speaking dentists to train an AI model (Large Language Model - LLM). As a consultant, you may be invited to take part in online projects to train the model in your area of expertise. This flexible role works for both experts who want part-time work (at least a few hours a week) and those interested in full-time roles. Although every project is unique, you might typically: - Collaborate with the AI lab to share your domain knowledge in dentistry. - Join online training sessions to improve the AI model's understanding. - Review and validate AI-generated content for accuracy and relevance. - Offer insights and feedback to boost the model's performance. - Take on flexible project-based tasks, adapting to each project's needs.

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Biology, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Correct the model’s responses based on your domain-specific knowledge.

A company is looking for support for a project focused on optimizing the buy and leave journey to improve customer acquisition and retention. The goal is to increase efficiency in the value chain, speed up time to market, and reduce the total cost of ownership (TCO). The Adobe Experience Manager (AEM) platform plays a central role, especially for implementing new features like compositions, templates, and micro-frontends. Main tasks: - - Definition and design of requirements in the Adobe Experience Manager CMS area, including setting the development order of compositions, components, templates, and micro-frontends. - Supporting documentation and feedback loops with tools like Jira and Confluence. - Project-related consulting of development teams and requirement owners during the development phase. - Analysis of the existing Adobe Experience Manager CMS infrastructure and deriving recommendations to optimize content and site structure, AEM interfaces, and performance. - Creating documentation on using the provided compositions & components and sharing this information with internal teams. - Professional consulting of business and technology departments as well as external partners as part of the change program. - Advising on technical requirements, including content structure, site structure, micro-frontends, product data modeling, compositions & components, templates, headless CMS, and AEM interfaces. - Support on special topics like accessibility, CIAM, multilingual, personalization, and campaigning.

A company is looking for professional advice as part of a comprehensive SOx project to implement adjusted and new SOx processes and controls (Business and IT) in the areas of Legacy, Finance, and Technology. The goal is to optimize the SOx control landscape and implement new standards. - Identify project-specific optimization opportunities, especially related to control or risk gaps, involving the relevant departments. - Implement changed or new SOx controls and advise the relevant departments. - Define the end-to-end process for the project, taking requirements into account. - Create and advise on solution concepts as well as plan and guide necessary implementation steps. - Identify and implement potential automated controls and provide automation advice. - Analyze and implement a standard UAT process in collaboration with the relevant departments. - Expand quality measures, especially IPE compliance, and implement new standards within the SOx control landscape. - Advise on project-related requirements and carry out project tracking. - Prepare project-related information for decision makers. - Conduct SOx training for the relevant departments.

A company is looking for a freelance Civil engineering experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in civil engineering contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights. Key responsibilities: - Evaluate AI models for civil engineering applications. - Analyze model outputs and provide feedback for improvement. - Collaborate with the development team to ensure alignment with industry standards. - Document findings and recommendations for model optimization. - Conduct tests to validate model performance and reliability.

We are looking for an experienced Senior Firmware/Edge Expert to support a one-time migration project for integrating EdgeX (HX) into existing firmware. The current firmware, based on C++ and FreeRTOS, is no longer compliant with modern security regulations such as NIS2 and EU requirements. As a result, the migration will first involve porting the existing business logic to Linux and then moving towards a containerized architecture using EdgeX as the framework for edge devices. The goal is to create a universal, configurable platform with shared core modules and product-specific components layered on top, supporting multiple products in the future. Your Responsibilities - Firmware Migration: Port existing business logic from C++/FreeRTOS to Linux to ensure identical behavior on customer devices. - Driver and Hardware Abstraction: Implement missing drivers and hardware abstraction to ensure smooth operation. - System Architecture & Service Communication: Focus on EdgeX integration with a clear separation between hardware layer (drivers, readers, devices) and application/business logic (isolated services). - Optimization & Enhancement: While the primary focus is on migration, optimization and feature enhancements will follow after successful integration. - Collaboration & Knowledge Transfer: Work independently and ensure a clear transfer of knowledge to internal engineers. - Work Model: Fully remote - Language: English (strong communication skills required) - Start Date: ASAP (Realistically January/February 2026) - Duration: Estimated up to 6 months, with potential for earlier completion in 3–4 months - Key Value: Knowledge transfer to internal engineers and ensuring smooth integration

For an AI lab we are looking for a Ruby Developer to train an AI model (Large Language Model - LLM). You help AI make sense of the world. As a consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (at least a few hours per week) and those interested in full-time opportunities. - Code generation and code review - Prompt evaluation and complex data annotation - Training and evaluation of large language models - Benchmarking and agent-based code execution in sandboxed environments - Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) - Adapting guidelines for new domains and use cases - Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects

We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights. What You'll Do - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers