- You take on the technical leadership of our SE team leads for low-voltage batteries, low-voltage converters, access systems, and central control units - You represent all components of the module to our product lines - You set goals for the module and derive corresponding targets for the SE teams - You are responsible for goal management in the module for features, costs, weight, quality, and deadlines - You are responsible for target management in change, problem, and quality management, as well as the module’s budget - You report to our project management and our product lines

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 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.

Your tasks: - You take on the technical leadership of an SE team for the central control unit components - You represent the components to our module management and agree on targets together - You are responsible for achieving targets for characteristics, costs, weight, quality, and deadlines for the components - You manage change, problem, and quality management for the respective components - You are in charge of technical approvals and the documentation of our components - You steer supplier target fulfillment - You handle reporting to our subproject and module management

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 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 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

At our client, changes in operations support and related work in the cloud native environment are on the agenda. - Development of the delivery pipeline - Development of the applications catalog for ODC - Development of the ITSM/CMDB integration

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

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.

- 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 carry out unit and integration tests (for example with Playwright) - You fix bugs in development, test or live environments

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.

A company is looking for an experienced electrical engineer specialized in the design and construction of electric motors. The project's goal is to qualify an insulation system, analyze operating points, and optimize electric motors. In addition, expertise in frequency converters (FU) is required to supervise tests and support the tuning of the KBK. - Qualifying an insulation system according to 60034-18-41 - Analyzing electrical operating points with field weakening and efficiency - Optimizing electric motor laminations in terms of cost and torque density - Supervising frequency converter tests to tune the KBK

An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows. This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time. Key responsibilities: - Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross-referencing authoritative sources. - Perform web scraping and data extraction by navigating complex website structures and multi-level pages (regions → companies → detailed pages). Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well-formatted CSV files. - Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required. - Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. - - Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality. - Apply strong problem-solving and task execution skills to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision. - Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.

- Product and web development in the data-driven area - Co-design of the software architecture for new data products - Collaboration in interdisciplinary teams (including data scientists and business developers)

For an AI lab we are looking for Java 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 - 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

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.

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.

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.

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

To replace the consent layers on the web that were previously provided by third-party CMPs for our international brands, these layers need to be reimplemented so they can be managed and delivered in-house. This requires solid knowledge of TypeScript, Vue.js, and traditional web technologies (HTML and CSS). The goal is to deliver runnable code that implements all requirements and includes automated tests that prove correct functionality. What exactly is the scope of the assignment: The main focus is on developing elements to support decision-making on the approach and implementing measures along the project path that results. This specifically includes the following work packages: - Implementation of code - Implementation of executable tests that must pass for 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/vendors - Addition of new brand-specific CSS themes (variable values, logos, etc.) - Inclusion of required official IAB GVL translations (ES, FR) in weekly GVL sync - Implementation of I18n and preparation of brand-specific data sources - Implementation of PMC2.0 backend usage modules - Implementation of 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’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

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.

A company in the automotive and robotics industry is looking for an experienced Construction & Contractor Safety Specialist (SiGeKo) to ensure safety on construction sites and when working with contractors. The goal of the project is to implement safety standards, minimize risks and ensure compliance with legal requirements. In this role, you will take responsibility for safety coordination on construction sites and work closely with internal and external stakeholders. - Monitoring and coordinating safety measures on construction sites. - Ensuring compliance with safety regulations and standards. - Conducting safety inspections and audits. - Advising and training employees and contractors on safety matters. - Creating and maintaining safety documentation. - Collaborating with authorities and other relevant organizations.

A company in the automotive and robotics industry is seeking an experienced EHS Specialist to support cell manufacturing processes. The goal of the project is to ensure compliance with environmental, health, and safety regulations and to promote a safety culture within the manufacturing environment. The role requires close collaboration with cross-functional teams to implement and maintain EHS standards, conduct risk assessments, and drive continuous improvement initiatives. Key responsibilities: - Developing, implementing and maintaining EHS policies and procedures tailored specifically to cell manufacturing. - Conducting regular risk assessments and audits to ensure regulatory compliance. - Training and guiding employees on EHS best practices. - Investigating incidents and implementing corrective actions to prevent recurrence. - Collaborating with internal teams to promote a safety and sustainability culture. - Monitoring and reporting on EHS performance metrics.

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

Your tasks: - Cost analyses of technical products and components based on hardware teardowns as part of benchmark projects - Cost evaluations of technical concepts and solutions to determine target costs in early development phases - Identification and assessment of cost reduction potentials in close collaboration with interdisciplinary project teams - Further development of existing methods and tools for cost calculation and active know-how building - Documentation, presentation and discussion of results within the team and with clients

The company is in a phase with increased need for highly specialized expertise in group taxation. Internal tax processes are to be reviewed, further developed, and realigned in selected areas. There are also requirements to optimize existing structures, review the Tax Compliance Management System, and prepare for upcoming audits and strategic decisions. The goal of the project is to analyze, develop, and align the company's tax-relevant structures, processes, and control mechanisms with legal requirements and strategic corporate objectives. The results should enable the company to make tax processes more efficient and transparent and ensure a solid foundation for future tax decisions and audits. Services - Analysis of the company's existing tax processes and structures, including evaluation of potential optimization areas. - Development of professional recommendations for tax strategies and alignment of relevant tax procedures within the company. - Creation of concepts to enhance the Tax Compliance Management System, including identification of suitable control mechanisms and documentation requirements. - Preparation of technical decision-making materials for management on tax-related issues, especially complex corporate decisions with tax implications. - Production of an objective assessment to prepare for planned or ongoing tax audits, and coordination of approaches with external advisory partners. - Technical review of tax calculations and materials, such as tax returns or financial statement components.

A company in the automotive supplier industry is looking for support in the field of cyber security. The goal of the project is to close gaps as part of the ISO 27001 certification. The IT Project Manager will play a central role in steering and monitoring the gap closure measures. - Steering and monitoring gap closure measures. - Consistently tracking tasks, deadlines, and responsibilities. - Coordinating between IT, specialist departments, information security, and, if necessary, external service providers. - Ensuring that measures are implemented in an ISO-27001-compliant, auditable, and documented way. - Transparent status reports to program management and stakeholders. - Support in audit preparation (evidence, measure status, maturity level).

A medical technology company is looking for an experienced Cyber Security Consultant to act as an independent advisor at the intersection of software architecture, DevOps and regulatory affairs. The goal of the project is to develop and secure innovative digital health products (Software as a Medical Device / Connected Devices). This position includes purely specialist consulting, technical assessments and delivery of validated security artifacts, without operational management decisions. The focus is on translating regulatory requirements (FDA, MDR, EU CRA, NIS2) into technical solutions and objectively assessing security risks. - Holistic Threat Modeling: Conduct STRIDE-based analyses for APIs, cloud-native services, AI components and CI/CD pipelines, and maintain formal threat model reports. - Security Architecture & Design: Create technical data flow diagrams (DFD) and security architecture review reports to document security decisions in cloud and container environments. - DevSecOps & Supply Chain Security: Advise on hardening CI/CD pipelines, implementing "security-by-default" and managing SBOM artifacts (third-party risk). - Penetration Testing Support: Define the scope for pen tests and fuzzing, and technically validate the results and CVSS scores. - Vulnerability Management: Assess vulnerabilities (vulnerability impact assessments) and develop remediation plans. - Audit Preparation: Compile technical evidence and documentation for regulatory submissions (FDA, MDR, MDS2).