The service is requested as part of the Brand Image Pool photoshoot project. The project includes: - The management of sub-tasks throughout the Brand Image Pool photoshoot project from January to June - Taking on Brand Guardianship tasks during the pool shooting project period - Concrete service description without reference to persons: - Independent definition, management and execution of the project. This ranges from project management to creating roadmaps and project presentations - Development of ideas and concepts for measures - Active management of project risks - Active management of project issues including professional advice on escalations - Preparation and follow-up of stakeholder and steering board meetings - Definition of project scope and overall project phases - Transparent and appropriate information to the client regarding scope, quality, timeline, budget and status

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

- A company from the energy and energy services sector is looking for an experienced IT Project Manager for a ServiceNow project. - The project's goal 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 - Management of external providers and service contractors - Monitoring, KPI analysis & deriving improvements - Ensuring stable platform operations

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

For our client company in the financial services sector, we are looking for a Partner Sales Manager (m/f/d). The client has commissioned us to steer a cross-departmental sales project to acquire new software distribution partners. The focus is on developing a partner sales strategy and integrating it into existing financial services solutions. Tasks: - Steering the cross-departmental sales project to acquire new distribution partners in integrated software solutions (ISV – Independent Software Vendor) - Supporting the acquisition of these strategically important partners - Developing a comprehensive software partner sales strategy and defining relevant KPIs - Managing the integrated sales together with the client's financial services solutions - Supporting the design and implementation of the software partner sales strategy - Collaborating in the development and implementation of new processes and shaping the organization

- Independently market our brand portfolio through innovative licensing, brand and lifestyle partnerships to create unique brand experiences - Responsibility for specific industries within the sales team, including strategic development, identifying and approaching target clients, and ongoing market and trend analysis - Building new partnerships by acquiring new license partners and managing and developing existing licensees - Planning, managing and monitoring the budget for the responsible industries with a strategic focus - Participating in relevant industry trade shows to spot trends and acquire potential partners - Adapting marketing materials and proposals to tailor them specifically to individual client needs - Acting as liaison & first point of contact for external sales partners, including evaluating and aligning sales potentials - Promoting effective collaboration between sales and brand management - Maintaining and using the CRM system as well as potential overviews

A health insurance company is urgently looking for an expert to build a call center. The goal of the project is to develop a comprehensive roadmap that covers all aspects of setting up the call center. The expert will work closely with internal stakeholders to analyze requirements and develop a structured approach. - Create a roadmap for setting up a call center - Identify and select suitable systems, tools, and technologies - Develop organizational and staffing structures - Define necessary processes - Plan realistic implementation phases

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. We are looking for support in the following areas: Analysis & Consulting - Technical and business analysis of existing campaign processes - Advising on data flows, selections, and profiling strategies PL/SQL Development - Implementing and optimizing data selection, transformation, and aggregation pipelines in Oracle PL/SQL - Mapping predefined business logic for customer segmentation Testing & Quality Assurance - Planning and executing unit, integration, and regression tests - Documenting test cases and results Operations & Monitoring - Monitoring running jobs and workflows (performance, error handling) - Tuning SQL queries and batch processes Communication Outputs - Connecting to and supplying channels like email, SMS, outbound calls, and postal mail - Implementing data-driven personalization and targeting

- You are the main point of contact for our corporate clients, support them by phone and advise them on their individual needs. - With negotiation skills you secure strong deals and ensure our products reach our B2B clients optimally. - From creating quotes to invoicing you keep track and drive your sales figures purposefully. - You seize opportunities, follow up on your deals consistently and achieve measurable results. - Through smart prospecting and strategic networking you continuously expand your client portfolio and strengthen long-term relationships.

- 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 to create functional designs and specifications. - The analyst will work closely with product owners, IT and business units to align on feasibility, effort and priority of requirements.

We are looking for a Freelance Agent Evaluation Analyst to take ownership of quality, structure, and insight across the project. This role goes far beyond task-checking - it’s about critical thinking, systems-level analysis, and ensuring clarity, reliability, and consistency at scale. You’ll work as both a hands-on evaluator and an analyst, collaborating with domain experts, delivery managers, and engineers. Beyond reviewing outputs, you’ll be expected to understand the “why” behind the work, identify logical gaps or inconsistencies, and propose meaningful improvements. This is a flexible, impact-driven role where you’ll have space to grow, contribute ideas, and help shape how evaluation and quality are scaled across the project. This role is especially well-suited for: Analysts, researchers, or consultants with strong structuring and reasoning skills Junior product managers or strategists curious about AI and evaluation work Smart problem-solvers (students or early-career professionals) who enjoy digging into logic, systems, and edge cases You do not need a coding background. What matters most is curiosity, intellectual rigor, and the ability to evaluate complex setups with precision. What you’ll be doing - Fully own the QA pipeline for agent evaluation tasks; - Review and validate tasks and golden paths created by scenario writers and experts; - Spot logical inconsistencies, vague requirements, hidden risks, and unrealistic assumptions; - Provide structured feedback and ensure quality alignment across contributors; Train, onboard, and mentor new QA team members; - Collaborate with domain experts, delivery managers, and engineers to improve test clarity and coverage; - Maintain and improve QA checklists, SOPs, and review guidelines; - Contribute to test planning, prioritization, and quality benchmarks; - Take initiative to suggest new approaches, tools, and processes that help scale validation and analysis.

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

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

- Identification and analysis of cyber risks arising from changes in the digital landscape and the growing capabilities of attackers. - Development and allocation of appropriate countermeasures and the creation of roadmaps for effectively addressing digital threats. - Translating security incidents and threats into concrete, business-relevant risks with appropriate countermeasures. - Continuously improving processes for managing the cyber risk lifecycle and increasing the maturity of the Cyber Risk Desk. - Preparing project reports on the status, impacts, and required actions related to identified risks. - Conducting risk analyses and management processes that comply with applicable regulatory standards (SOX, PCI, data protection). - Performing an initial risk assessment (likelihood, impact, risk level) including a precise description of risks, impacts, and the probability of occurrence. - Evaluating and detailing the residual risk remaining after potential implementation of the identified risk mitigation measures.

A company is looking for an experienced E engineer who specializes in the design and construction of electric motors. The project aims to qualify an insulation system, analyze operating points, and optimize electric motors. Additionally, expertise in frequency converters (FC) is needed to run tests and support the tuning of the motor control. - Qualify an insulation system according to 60034-18-41 - Analyze electrical operating points with field weakening and efficiency - Optimize electric motor laminations in terms of cost and torque density - Supervise frequency converter tests to support motor control tuning

We are seeking an analytical and technically-minded professional to: - Evaluate AI outputs and processes - Ensure quality, accuracy, and reliability - Identify logical errors, risks, and structural inconsistencies - Provide actionable insights and recommendations to the team Ideal candidates: - Consultants, auditors, analysts, data researchers, or business/technical analysts with strong reasoning skills - Professionals curious about AI, process improvement, and quality evaluation - Problem-solvers who enjoy analyzing complex systems, logic, and scenarios Key Responsibilities: - Lead evaluation of AI outputs and related processes - Review tasks against expected/ideal scenarios; identify gaps and risks - Provide structured, actionable recommendations to engineers, domain experts, and managers - Maintain and improve evaluation guidelines, checklists, SOPs - Suggest new approaches, tools, and processes to enhance AI evaluation

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.

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

The Digital Analytics department uses Adobe Experience Cloud to deliver personalized user experiences. The goal is to increase conversion rates and improve customer experience through targeted personalization and testing. The technical implementation is handled independently by specialized consultants. - A core part of the tasks includes maintaining the existing implementation within the Adobe Experience Platform. This particularly involves monitoring the 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 includes creating entity-relationship diagrams (ERDs) and contextualizing the relevant data. - Based on that, the corresponding schemas are created within the platform and datasets are prepared for further use. - Further activities include designing and setting up both new activation channels and additional data sources. - In addition, new business-relevant use cases are developed across the various phases of the customer journey to specifically increase business value. - Creating segments and performing error analyses using targeted SQL queries. - Consulting on all newly introduced processing activities, covering compliance with applicable data protection regulations, the required internal approval processes, as well as documenting legal and technical specifics.