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 Faktor 10 developer with expertise in IPS and IPM. The project involves developing and optimizing software solutions in the insurance domain, focusing on high performance and reliability. The role requires solid knowledge of Faktor 10 and its applications in the insurance sector. Main tasks: - Develop and optimize applications with Faktor 10, especially in IPS and IPM. - Collaborate with cross-functional teams to ensure seamless integration and functionality. - Analyze and resolve complex technical issues. - Provide technical guidance and mentoring to junior developers. - Ensure compliance with industry standards and best practices.

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-performing 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) - Troubleshoot 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 E engineer who specializes in the design and construction of electric motors. The goal of the project is to qualify an insulation system, analyze operating points, and optimize electric motors. Additional expertise in frequency converters (FC) is required to oversee tests and support the tuning of the KBK. - Qualification of an insulation system according to 60034-18-41 - Analysis of electric operating points with field weakening and efficiency - Optimization of electric motor laminations in terms of cost and torque density - Supervision of frequency converter tests for KBK tuning

A company is looking for support in the digital transformation of investment controlling. The role is part of a SCRUM team in the finance department. The focus is on developing and optimizing TM1 Planning Analytics as the core system, including building interfaces, data processing in the model, and providing data for reporting purposes.

A transformation and modernization project at the HKW Tiefstack site in Hamburg is looking for support. The aim of the project is to advance the energy and heat infrastructure into a future-ready and flexible system. Plant engineering, hydraulics, energy supply, and control systems play a central role. The project is in the implementation phase. The current responsible person will leave the project in about two months, so there is an immediate need to take over and ensure a smooth handover.

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 a data-driven environment - Shaping 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 fast, and one of our goals is to make them able to handle specialized questions and develop complex reasoning skills. If you join the platform as an AI Tutor in Biology, you’ll have the chance to collaborate on these projects. Although every project is unique, you might typically: - Generate prompts that challenge the AI. - Define clear scoring criteria to judge the accuracy of the AI’s answers. - Correct the model’s responses based on your domain knowledge.

A company is looking for an experienced Java IT Architect for a project at a development bank with a duration of five months. The project's goal is to develop and optimize the IT architecture of operational and administrative systems and to analyze and implement business requirements into the bank's IT architecture. - Development of the IT architecture for operational and administrative systems. - Conducting impact analyses of business requirements on the IT architecture. - Monitoring and analyzing portfolio changes and preparing them for management decisions. - Creating IT concepts and performing migration tasks. - Using and evaluating AI plugins to support software development. - Ensuring security aspects in software development (secure coding, authentication, encryption). - Documenting the architecture and interfaces.

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 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 implements all requirements and includes automated tests that verify correct functionality. What exactly is the scope of the assignment: The main focus is on developing elements for decision templates on the approach and on implementing measures throughout the project as designed. This specifically includes the following service packages: - Implement code - Implement executable tests that must pass on delivery, test coverage >= 80% - Create documentation for the code - Create brand-specific cmp-config files - Create a project (including asset management requirements) as a copy of the Consent Management Platform - Remove netID references - Create brand-specific settings and files for custom purposes/vendors - Add new brand-specific CSS themes (variable values, logos, etc.) - Include the required official IAB GVL translations (ES, FR) in the weekly sync with GVL - Implement I18n and prepare brand-specific data sources - Implement PMC2.0 backend usage modules - Implement the playout logic - Implement the layer initialization process (mode=default and mode=resurface) - CDN upload and release process - Project documentation Project execution: - The deliverable 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

A company from the automotive and robotics industry is looking for an experienced Construction & Contractor Safety Specialist (SiGeKo) to ensure safety on construction sites and in collaboration with contractors. The project goal is to implement safety standards, minimize risks, and ensure compliance with legal regulations. In this role, you will be responsible for safety coordination on construction sites and work closely with internal and external stakeholders. - Monitor and coordinate safety measures on construction sites. - Ensure compliance with safety regulations and standards. - Conduct safety inspections and audits. - Advise and train employees and contractors on safety issues. - Create and maintain safety documentation. - Collaborate with authorities and other relevant organizations.

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 EHS Specialist to support cell manufacturing processes. The goal of the project is to ensure compliance with environmental, health, and safety regulations and to foster 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: - Develop, implement, and maintain EHS policies and procedures specifically tailored to cell manufacturing. - Conduct regular risk assessments and audits to ensure regulatory compliance. - Train and guide employees on EHS best practices. - Investigate incidents and implement corrective actions to prevent recurrence. - Collaborate with internal teams to promote a culture of safety and sustainability. - Monitor and report 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

A company is looking for an experienced FSC Chain of Custody (CoC) Auditor to ensure compliance with FSC CoC standards. The project involves conducting audits, reviewing supply chain processes, and supporting clients in maintaining their FSC certifications. The role requires solid knowledge of FSC CoC requirements and the ability to provide actionable recommendations to clients.

An organization is seeking an experienced post-merger integration consultant with a strong focus on technology and commercial aspects. The goal of the project is to ensure a successful integration after a merger or acquisition by addressing technical and business challenges. The role requires someone with proven leadership experience at larger technology companies, capable of taking on strategic and operational tasks. Key Responsibilities: - Leading and coordinating post-merger integration processes - Analyzing and optimizing technical and commercial structures - Developing and implementing integration strategies - Collaborating with internal and external stakeholders - Ensuring adherence to timelines and budgets

A company is looking for an experienced Product Owner to develop an Android app within a large organization. The focus is on leading and coordinating the development process, and a solid understanding of hardware is a plus. Main responsibilities: - Lead the development of an Android app in a corporate environment - Work closely with development teams and stakeholders - Ensure project goals and deadlines are met - Translate business requirements into technical specifications - Prioritize and maintain the product backlog