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.

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

- 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)

- You develop modern, high-performance web frontends with React, TypeScript, HTML, and CSS - You implement responsive designs with a focus on accessibility and performance - You plan and execute unit and integration tests (for example with Playwright) - Troubleshooting in development, testing, or live environments

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

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.

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

For replacing the consent layers previously provided by third-party CMPs on the web for our international brands, these layers need to be reimplemented so they can be operated and served in-house. This requires solid knowledge of TypeScript, Vue.js, and traditional web presentation technologies (HTML and CSS). The goal is to deliver executable code that implements all requirements and includes automated tests that prove correct functionality. What exactly is the scope of the engagement: The focus of the service is on developing elements for decision-making on the approach and on implementing measures along the resulting project path. This specifically includes the following service packages: - Code implementation - Implementation of executable tests that must pass on delivery, test coverage >= 80% - Creation of code documentation - Creation of brand-specific cmp-config files. - Creation of a project (including asset management requirements) as a copy of the consent management platform. - Removal of netID references. - Creation of brand-specific settings and files for custom purposes/providers. - Adding new brand-specific CSS themes (variable values, logos, etc.). - Inclusion of the required official IAB GVL translations (ES, FR) in the weekly synchronization with the GVL. - Implementation of I18n and preparation of brand-specific data sources - Implementation of PMC 2.0 backend usage modules - Implementation of the playout logic - Implementation of the layer initialization process (mode=default and mode=resurface) - CDN upload and release process - Project documentation Project implementation: - The desired result should be written in TypeScript and Vue.js, built with Vite, tested with Vitest.

We are the agentic data management platform for production and logistics, where AI Agents powered by a domain specific semantic layer clean, prepare and format data, so that ad-hoc business requests that usually take weeks are answered in seconds, enabling fast data-driven decision making. To further shape and scale this product, we are looking for a (senior) freelance Data & Semantic Layer Architect with a strong focus on conceptual and architectural work (not hands-on implementation in this first phase), who will: - design the overall product and solution architecture (semantic layer, data platform, knowledge base, multi-agent workflows, APIs) - define a feature list and solution roadmap for the first product versions - specify an MVP / prototype for the validation phase (scope, tech stack, integrations, risks) - create a high-level effort estimate and team setup (roles, skills, build-vs-buy) - design the core semantic layer (domains, KPIs, metrics logic, data catalog, business rules).

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

- 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.

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.

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.

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.

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.

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.

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

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.

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 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

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

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

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.

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.

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 in the energy and energy services sector is looking for an experienced IT project manager for a ServiceNow project. - The goal of the project is to lead and successfully implement an enterprise ServiceNow project focusing on ITSM and Customer Service Management (CSM). - The role includes planning, controlling, and ensuring a stable project flow in close collaboration with internal and external stakeholders. - Operational & strategic service management of the ServiceNow platform - Process ownership for ITSM and CSM (B2B & B2C) - Process design, governance & continuous optimization - Managing external providers and vendors - Monitoring, KPI analysis & deriving improvements - Ensuring stable platform operations

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.

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.

A company is looking for experienced project managers and account managers who can execute international campaigns on a hands-on basis. The role requires close collaboration with various markets and stakeholders to ensure campaigns are run effectively and on schedule. The position is ideal for candidates with extensive agency experience, especially in executing traditional campaigns. Experience at renowned agencies like Media Monks or similar is an advantage. Main responsibilities: - Planning, executing, and monitoring international campaigns - Close collaboration with international markets and stakeholders - Ensuring adherence to timelines and budgets - Coordinating teams and resources - Reporting and analyzing campaign results

- Independent marketing of our brand portfolio through innovative licensing, brand and lifestyle collaborations to create unique brand experiences - Responsibility for defined industries within the sales team, including strategic development, identification and outreach of target customers as well as ongoing market and trend analyses - Building new partnerships by acquiring new licensing partners and supporting and developing existing licensees - Planning, managing and controlling the budget for the industries you’re responsible for with a strategic focus - Participation in relevant industry fairs to pick up trends and acquire potential partners - Adapting marketing materials and proposals to tailor them to individual customer needs - Acting as an interface & first point of contact for external sales partners, including assessing and coordinating sales potential - Promoting effective collaboration between sales and brand management - Maintaining and utilizing the CRM system as well as potential overviews