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.

- 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.

- 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

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).

We are looking for temporary support in a highly regulated environment for an ITSM Specialist (m/f/d) – Business Impact Analysis & BCM. We are seeking experienced ITSM specialists with solid knowledge in conducting and evaluating Business Impact Analyses (BIA) according to current standards (e.g. BSI 200-4). The focus is on independently conducting BIAs for time-critical business processes as well as further developing business continuity structures. Tasks - Conducting structured interviews with process owners - Analyzing and evaluating critical process dependencies - Creating management reports, heatmaps, and recommendations for action - Further developing the BIA/BCM documentation in Confluence and ServiceNow

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.

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 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

A Private Equity–backed German B2B SaaS company is seeking an experienced Interim Chief Transformation Officer (CTO / CTrO) to lead the merger and integration of two B2B SaaS companies, each with approximately 50–100 employees. The companies operate from locations in the Rhine-Ruhr area, Munich, and Hamburg. The objective of this mandate is to design and execute a holistic post-merger transformation, covering strategic direction, product portfolio, target operating model, and scalable processes to enable sustainable and efficient growth. Mandate Objective End-to-end ownership of the post-merger transformation, with a strong focus on value creation, operational excellence, and scalability. Key Responsibilities - Design and execute a comprehensive transformation and post-merger integration (PMI) strategy, including robust business cases - Identify, assess, and prioritize value creation and optimization opportunities across organization, processes, governance, and technology - Streamline and consolidate the product portfolio, including active steering of product and customer migrations - Harmonize and further develop product, sales, and go-to-market organizations (e.g. role models, interfaces, incentives, governance) - Define and implement the future target operating model (organizational structure, decision frameworks, responsibilities) - Act as a key sparring partner to the Private Equity investor, management teams, and other senior stakeholders - Lead, align, and motivate cross-functional teams through a complex change and integration journey - Establish clear governance, KPIs, and reporting structure

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 product manager, ideally with a background in the hospitality sector. The goal of this project is to develop innovative product solutions and optimize existing processes to enhance the customer experience and strengthen the company’s market position. The product manager will play a key role in defining and executing product strategies and will work closely with internal teams and external stakeholders. Travel expenses will not be covered, so the candidate should preferably be based in Berlin or willing to cover costs themselves. - Lead and oversee the entire project lifecycle in Cloud POS - Develop and implement project plans, schedules, and budgets - Coordinate between different teams and stakeholders - Ensure compliance with project goals and requirements - Identify and manage risks and issues - Report to management and other relevant parties

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

- 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)

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 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 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.

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 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.

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

- 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

- 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

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

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.

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.

- You are the main point of contact for our business clients, supporting them by phone and advising them on their individual needs. - With negotiation skills, you secure strong deals and make sure our products reach our B2B clients in the best way. - From creating offers to billing, you keep track of everything and actively drive your sales figures forward. - You seize opportunities, follow up on your deals consistently, and achieve measurable results. - Through smart acquisition and strategic networking, you continuously expand your client portfolio and strengthen long-term relationships.

For an industrial company we are looking for an experienced SAP FI/CO Senior Consultant (m/f/d) with a strong focus on SAP R/3 (ECC) and proven experience in S/4HANA transition projects. The goal of the project is the functional and system-side analysis of the existing R/3 processes in the Finance and Controlling area and support in preparing and implementing the migration to S/4HANA. Responsibilities - Analysis of existing FI/CO processes in SAP R/3 (general ledger, accounts receivable/payable, asset accounting, CO objects, CO PA, etc.) - Conducting a gap analysis between SAP ECC and S/4HANA - Assessing the impact of new S/4 features (Universal Journal, Business Partner, new asset accounting etc.) - Identifying optimization potentials & recommendations for process standardization - Creating a preparation and migration plan (Delivery: end of January) - Running a remote workshop with the business units - Advising on FI/CO best practices in industrial environments - Preparing professional concept and documentation materials

- 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 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.