Integration of the system landscapes. In this process, building a unified roles and permissions concept for the S4 HANA systems and the Solution Managers for a shared system landscape. Tasks: - Development, testing, deployment, and management of custom-developed IT Tiny Tools throughout their entire lifecycle - Development, testing, deployment, and management of databases (MS SQL, Oracle, MySQL) and SQL scripts - Implementation of automation for various processes within other IT systems (S4, ESM, BIS, ATSINN) - Software development and implementation of business department requirements using Delphi, C#, as well as RPA tools like Blue Prism and Chromium - Planning, coordination, process analysis, and implementation of new energy industry requirements (e.g., market communication, GPKE, GeLiGas, MsbG, MessEG, EnWG, etc.) Consulting business departments on extending and adapting new functions and features in the IT tools area (e.g., qualification procedures, feasibility analysis, sampling) - Coordination of setting up new tasks within Tiny Tools – Windows Services, sFTP access, cloud processing, scheduling - Development of new use cases in the Tiny Tools area and new process mappings - Implementation of individual authorization functions in LDAP/domains - Modeling of new business objects using modeling tools - Handling errors and incidents (analysis, resolution, patch creation) in the IT Tiny Tools solution - Fixing programming errors (defects), incidents, and tasks in SIGMA and liaising with business departments (documentation, communication) - Extending configuration files with new properties (JSON) and configuration sets - Implementing extensions for import/export interfaces of various Tiny Tools and corresponding APEX web services - Coordination and execution of development

An insurance company in Nuremberg is looking for a Senior Factor 10 Developer with expertise in IPS and IPM. The project includes developing and optimizing software solutions in the insurance sector, focusing on high performance and reliability. The role requires solid knowledge of Factor 10 and its applications in the insurance industry. Key responsibilities: - Developing and optimizing applications with Factor 10, especially in IPS and IPM. - Collaborating with interdisciplinary teams to ensure seamless integration and functionality. - Analyzing and resolving complex technical issues. - Providing technical guidance and mentoring to junior developers. - Ensuring compliance with industry standards and best practices.

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

The Digital Analytics department uses Adobe Experience Cloud to deliver personalized user experiences. The goal is to increase conversion rates and improve the customer experience through targeted personalization and testing. The technical implementation is handled independently by specialized consultants. - A key part of the role is maintaining the existing implementation within the Adobe Experience Platform. This includes monitoring data and troubleshooting source connectors. - As part of preparing new features for use in the Adobe Experience Platform, requirements and data are first translated into Adobe's Experience Data Model. This involves creating Entity-Relationship Diagrams (ERDs) and adding context to relevant data. - Based on this, the necessary schemas are set up in the platform and data sets are prepared for further use. - Other tasks include designing and setting up new activation channels as well as additional data sources. - In addition, new business-relevant use cases are developed across different phases of the customer journey to drive business value. - Creating segments and performing error analysis using targeted SQL queries. - Advising on all newly introduced processing activities, ensuring compliance with applicable data protection regulations, managing internal approval processes, and documenting legal and technical specifics.

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.

- 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 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.

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

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.

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

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.

We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team. What you’ll be doing: - Developing and maintaining MCP-compatible evaluation servers - Implementing logic to check agent actions against scenario definitions - Creating or extending tools that writers and QAs use to test agents - Working closely with infrastructure engineers to ensure compatibility - Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects.

For an AI lab, we’re looking for a Java Developer to train an AI model (large language model - LLM). You’ll help AI make sense of the world. As a consultant, you may be invited to join online projects to train the model in your area of expertise. This flexible role suits both experts seeking part-time work (minimum 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 - Adapting guidelines for new domains and use cases - Following project-specific rubrics and requirements - Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects

A company is looking for an experienced Data Engineer to carry out a migration from Snowflake to ClickHouse. The focus is on using Apache Spark for data processing and on managing and optimizing Kubernetes environments. The goal is to build and operate a powerful and scalable data platform. - Executing the migration from Snowflake to ClickHouse - Developing and optimizing data pipelines with Apache Spark - Managing and optimizing Kubernetes clusters - Ensuring the performance and scalability of the data platform - Implementing solutions in Python - Optional: Working with Snowplow for data analytics

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.

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

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 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.

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

We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions. Although every project is unique, you might typically: - Designing structured test scenarios based on real-world tasks. - Defining the golden path and acceptable agent behavior. - Annotating task steps, expected outputs, and edge cases. - Working with devs to test your scenarios and improve clarity. - Reviewing agent outputs and adapting tests accordingly

We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases. You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit. What you’ll be doing: - 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 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.

- 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

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

A company is looking for an experienced Quality Compliance Auditor who will be responsible for ensuring compliance with GCP, GCLP and GVP standards. The project aims to conduct internal and external audits, prepare and support regulatory inspections, and identify compliance gaps and derive corrective actions. The role includes planning and conducting audits, assisting with regulatory inspections and ensuring compliance with ICH guidelines as well as EMA/FDA regulations. - Conducting internal and external audits (GCP, GCLP, GVP) - Preparing and supporting regulatory inspections (e.g. MHRA, FDA, EMA) - Identifying compliance gaps and deriving corrective actions

A company is looking for a Senior Regulatory Compliance Expert to support its team in getting ready for FDA inspections. The role includes conducting mock inspections, providing strategic advice on inspection readiness, and assisting with pre-approval and routine inspections. The ideal candidate has extensive expertise in compliance with legal requirements, especially FDA standards, and plays a key role in ensuring the company meets global compliance demands. - Conduct mock inspections according to FDA standards - Provide strategic advice on inspection readiness - Support pre-approval and routine inspections

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 seeking support for the "SOx way forward" project. The goal of the project is implementing and expanding IT General Controls (ITGC), Access Management, and Super User Monitoring in various IT systems. The task includes gathering, detailing, and managing the implementation of the necessary requirements. - Planning, coordinating, and gathering SOx-relevant requirements - Gathering, detailing, and documenting requirements and implementing them in the IT and network infrastructure - Independently managing the analysis and implementation of requirements - Reviewing the developed design specifications based on the requirements - Preparing, planning, and advising during the test phase

- Management of the e-invoicing Germany project (develop a detailed project plan, manage workstreams, tax input, align and coordinate stakeholders, project management) - Support in the international e-invoicing/reporting project (monitor legislation using a Big4 database, collect project reports, coordinate stakeholders) If needed, support in the preparation of monthly VAT returns

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