An AI lab is looking for a freelance chemistry expert 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.

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 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.

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.

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.

For an AI lab we are looking for AI Agent Evaluation Analyst 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 - 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 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.

An AI lab is looking for a freelance biology experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in biology (all areas) 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 biology 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.

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

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.

A company is looking for a freelance Civil engineering experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in civil engineering contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights. Key responsibilities: - Evaluate AI models for civil engineering applications. - Analyze model outputs and provide feedback for improvement. - Collaborate with the development team to ensure alignment with industry standards. - Document findings and recommendations for model optimization. - Conduct tests to validate model performance and reliability.

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

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 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

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

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 German-speaking dentists 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: - Collaborate with the AI lab to provide domain-specific knowledge in dentistry. - Participate in online training sessions to enhance the AI model's understanding. - Review and validate AI-generated content for accuracy and relevance. - Offer insights and feedback to improve the model's performance. - Engage in flexible project-based work, adapting to unique project requirements.

Freelance – Accounting Specialist (m/f/d) – Conversion from Oracle to SAP For one of our clients, we are looking for an experienced professional in financial accounting (m/f/d). The project involves converting the ERP system from Oracle to SAP Tasks: - Support the ERP transition from Oracle to SAP - Analyze and document existing financial processes (accounts payable, accounts receivable) - Ensure legal compliance and closing capability in the new system

Consolidation of system landscapes. In this context, building a unified roles and permissions concept for the S4 HANA systems and the Solution Managers, for a shared system landscape. Tasks: - Development, testing and deployment, as well as maintenance of the self-developed IT Tiny Tools throughout their entire lifecycle - Development, testing, deployment and management of databases (MS SQL, Oracle, MySQL) and SQL scripts - Implementation of automation for various processes within other IT systems (S4, ESM, BIS, ATSINN) - Software development and implementation of business requirements in Delphi, C# and tools like RPA Blue Prism and Chromium - Planning, coordination, process analysis and implementation of new requirements in the energy sector (e.g. market communication, GPKE, GeLiGas, MsbG, MessEG, EnWG, etc.) advising business units on extending and adapting new functions and features in the IT Tools area (e.g. qualification procedures, feasibility analysis, sampling) - Coordination of setting up new tasks within the Tiny Tools – Windows services, sFTP access, cloud processing, scheduling - Development of new use cases in the Tiny Tools area and new process mappings - Implementation of individual authorization functions in LDAP/domains - Modeling of new business objects using modeling tools - Handling errors and incidents (analysis, resolution, patch creation) in the IT Solution Tiny Tools - Fixing defects, incidents and tasks in SIGMA and liaising with business units (documentation, communication) - Extending configuration files with new properties (JSON) and configuration sets - Implementing enhancements to the import/export interfaces of the various Tiny Tools and their APEX web services - Coordination and execution of development

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.

For a challenging SAP S/4HANA project, we're looking for an experienced SAP developer (m/f/d) specializing in central contracts in the MM module, who will be responsible for the functional and technical implementation following the SAP Clean Core strategy. Your tasks - Development and implementation of features to map central contracts in the MM module based on SAP S/4HANA - Implementation of enhancements and applications strictly following clean core principles - Development of Fiori apps with Fiori Elements and developer adaptations in the Business Application Studio (BAS) - Creation and extension of CDS views including annotations - Development of modern ABAP solutions based on the RAP model - Use of key user extensibility tools - Support in analyzing and resolving existing MM customizing issues (central contracts) in close cooperation with the business department - Collaboration with business, IT, and if needed, external partners

We are looking for an experienced Senior Firmware/Edge Expert to support a one-time migration project for integrating EdgeX (HX) into existing firmware. The current firmware, based on C++ and FreeRTOS, is no longer compliant with modern security regulations such as NIS2 and EU requirements. As a result, the migration will first involve porting the existing business logic to Linux and then moving towards a containerized architecture using EdgeX as the framework for edge devices. The goal is to create a universal, configurable platform with shared core modules and product-specific components layered on top, supporting multiple products in the future. Your Responsibilities - Firmware Migration: Port existing business logic from C++/FreeRTOS to Linux to ensure identical behavior on customer devices. - Driver and Hardware Abstraction: Implement missing drivers and hardware abstraction to ensure smooth operation. - System Architecture & Service Communication: Focus on EdgeX integration with a clear separation between hardware layer (drivers, readers, devices) and application/business logic (isolated services). - Optimization & Enhancement: While the primary focus is on migration, optimization and feature enhancements will follow after successful integration. - Collaboration & Knowledge Transfer: Work independently and ensure a clear transfer of knowledge to internal engineers. - Work Model: Fully remote - Language: English (strong communication skills required) - Start Date: ASAP (Realistically January/February 2026) - Duration: Estimated up to 6 months, with potential for earlier completion in 3–4 months - Key Value: Knowledge transfer to internal engineers and ensuring smooth integration

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.

A company is looking for an experienced EHS Specialist to support their Body in White (BIW) operations. Body in White refers to the stage in car manufacturing where the vehicle's sheet metal components are welded together to form the body shell, prior to painting and the installation of the engine, chassis, or interior trim. The goal of the project is to ensure compliance with environmental, health, and safety regulations during this critical manufacturing phase while optimizing processes and maintaining high safety standards. The role involves collaborating with production and engineering teams to identify risks, implement safety measures, and foster a culture of safety within the organization. Key responsibilities: - Conduct risk assessments and ensure compliance with EHS regulations specific to BIW operations. - Develop and implement safety protocols and procedures tailored to BIW processes. - Monitor and report on EHS performance metrics within the BIW stage. - Provide training and guidance to employees on EHS best practices in automotive manufacturing. - Investigate incidents and implement corrective actions to prevent recurrence. - Collaborate with cross-functional teams to improve safety standards and processes in BIW.

A company is looking for an experienced EHS Specialist to ensure safety and environmental standards in a state-of-the-art production facility. The goal of the project is to ensure compliance with legal regulations, minimize risks, and create a safe working environment. In this role, you will work closely with Facility Management and other departments to develop, implement, and monitor safety and environmental programs. Main tasks: - Develop and implement EHS programs and policies. - Conduct risk analyses and safety inspections. - Train employees on safety and environmental regulations. - Monitor compliance with legal and internal regulations. - Collaborate with authorities and external partners. - Prepare reports and documentation on EHS topics.

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

A company is looking for support in 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, to evaluate, implement, and further develop survey methods, and to enable consistent measurement of customer satisfaction across all channels. Improvement potentials should be identified and implemented. The role includes advising, developing, and implementing measures to collect and improve customer satisfaction in digital channels. Main tasks: - Advising on survey methods for measuring 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 the implemented measures to collect data and ensure they meet the required criteria. - Consolidating and listing existing and missing customer survey methods/quality KPIs in all responsible digital channels. - Advising on the creation of decision proposals and implementing the necessary measures. - Identifying improvement potentials and developing a standard process for transparency and implementation.

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).

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.