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.

- Product and web development in the data-driven field - Shaping the software architecture for new data products - Collaborating in interdisciplinary teams (including data scientists and business developers)

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).

- Vision & Strategy: You shape the roadmap for the POS system of the future and ensure that we not only meet but anticipate our customers' needs. - Multi-Platform Excellence: You oversee the development of our app landscape with a focus on Android. You understand the challenges of different form factors (from the compact card terminal to the large stationary tablet). - Delivery Management: You lead your cross-functional development team with clarity and enthusiasm. You facilitate ceremonies, remove blockers, and celebrate releases. - Requirements Engineering: You translate complex business logic into precise technical requirements and user stories that leave no questions for developers.

For an AI lab, we are looking for a Java 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 (minimum a few hours/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

- 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) - You troubleshoot issues in development, test or live environments

For an AI lab we are looking for Ruby Developer 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. - 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’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.

For replacing the consent layers that have so far been delivered by third-party CMPs on the web for our international brands, these layers will be newly implemented so they can be maintained and deployed in-house. This requires solid knowledge of TypeScript, Vue.js and classic web technologies (HTML and CSS). The goal is to deliver executable code that meets all requirements and includes automated tests proving correct functionality. What exactly is the scope of work: The main focus is on developing elements to decide on the approach and implementing measures along the resulting project path. This specifically includes the following service packages: - Implementation of code - Implementation of executable tests that must pass before delivery, test coverage >= 80% - Creation of documentation for the code - 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/vendors. - Addition of new brand-specific CSS themes (variable values, logos etc.). - Inclusion of the required official IAB GVL translations (ES, FR) in the weekly synchronization with GVL - Implementation of I18n and preparation of brand-specific data sources - Implementation of PMC2.0 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, tests with Vitest.

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.

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.

To strengthen data-driven cross & upsell as well as retention campaigns, Customer Interaction operates a platform where campaign processes including a profiler are developed, orchestrated, and monitored. For this, support is needed in the following areas: Analysis & Consulting - Functional and technical analysis of existing campaign processes - Advice on data flows, selections, and profiling strategies PL/SQL Development - Implementation and optimization of data selection, transformation, and aggregation pipelines 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

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 currently looking for a senior data architect (m/f/d) with experience in international industrial data platform and cloud projects for one of our top customers. Objectives - Achieve high customer satisfaction through reliable delivery, clear communication, and measurable outcomes. - Serve as the link among business, product, engineering, security, compliance, legal, and operations; facilitate informed trade-offs. - Establish and evolve long-term architecture with a balance of security, privacy, performance, cost, resilience, and interoperability. - Enable data-driven decision-making by optimizing data systems for structure, integration, and compliance. Responsibilities - Design and implement data models for efficient storage, retrieval, and analysis at enterprise and application levels. - Organize data at macro level (domains, canonical models, sharing policies) and micro level (logical/physical models); provide golden-source logical models and business rules for data quality. - Identify and document requirements decisive for long-term architecture; develop and document technology, structure, and implementation decisions based on best practices. - Verify day-to-day compliance with architectural decisions; establish quality assurance measures (design reviews, automated checks, guardrails). - Monitor data quality and integrity; ensure compliance with GDPR and security standards; explain decisions and strategies; coach teams. Key tasks and activities - Architecture design and stewardship: own end-to-end architecture considering scalability, performance, reliability, and cost; shape and steer the data landscape beyond implementation. - Data modeling: create conceptual, logical, and physical models; apply Data Vault 2.0, dimensional modeling (Kimball star schemas), and 3NF as appropriate. - Technology selection: evaluate and select data technologies, ETL/ELT tools, and cloud services within the existing IT landscape; develop concepts and technology proposals. - Governance and quality: define standards for data quality, metadata, lineage, and access; embed guardrails in data pipelines; ensure GDPR compliance. - Stakeholder management: act as the technical link between data engineers, data scientists, and business stakeholders; evaluate and communicate architectures and trade-offs. - Documentation: produce durable architecture documentation, including data flow diagrams, interface descriptions, domain maps, and decision logs.

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 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 Business Analyst to support the transformation from SAP ECC to S/4HANA Utilities. - The project goal is to analyze, document, and optimize output and archiving processes, as well as to create business designs and specifications. - The analyst will work closely with product owners, IT and business units to align on feasibility, effort and requirement prioritization.

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.

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.

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 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

An AI lab is looking for a freelance chemistry experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in chemistry contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights. 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: - Evaluate AI models for chemistry 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.

For an AI lab we are looking for mathematicians with Python experience 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 field of expertise. This flexible role suits both experts seeking part-time engagement (minimum a 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 in the energy and energy services industry 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 with a focus on ITSM and Customer Service Management (CSM). - The role involves planning, steering and ensuring a stable project process 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 - Management of external providers and vendors - Monitoring, KPI analysis & deriving improvements - Ensuring a stable platform operation

A company in the automotive supplier industry is looking for an experienced Infor AS Consultant to support the team in further developing and optimizing ERP functionalities. The project's goal is to ensure long-term system stability and functionality and continuously optimize ERP processes. The Consultant will work closely with the business units to implement system requirements, taking on an advisory and supportive role. The assignment is ideally 50% remote and 50% on-site near Schweinfurt, with at least one on-site visit required each month. - Designing, developing and optimizing ERP functionalities, taking into account legal and organizational requirements - Analyzing and resolving system disruptions and identifying root causes - Supporting business units through customizing and implementing ERP solutions - Providing second-level support for technical inquiries - Developing, administering and enhancing interfaces and maintaining existing integrations - Conducting and evaluating statistical analyses to monitor system functionality - Performing tests and handing over new processes to internal stakeholders - Providing ongoing support and assistance in optimizing active ERP processes

For a client project we are looking for a SAP IBP Stream Lead/ Senior Consultant (f/m/d) Tasks: - SAP IBP Consulting (Configuration, Tests, Go-live) - To lead SAP IBP Response & Supply workshops for functional solutions - Provide Service of hands-on Stream Lead for Response & Supply Implementation, as well as Demand Implementation