A company is looking for a Technical Lead to oversee AI training projects. The role involves acting as a team lead and reviewer, ensuring technical quality across both frontend and backend development. The ideal candidate will contribute to the project's success by reviewing and approving tasks, mentoring junior developers, managing technical debt, and ensuring coherence between backend and frontend systems. The goal is to keep the project aligned with product objectives while maintaining high technical standards. Key responsibilities: - Act as team lead and reviewer for technical quality across frontend and backend. - Decompose features into tasks and guide junior developers. - Review and approve tasks to ensure alignment with product goals. - Mentor junior developers and foster their growth. - Manage technical debt and ensure coherence between backend and frontend systems. - Collaborate on system design, architecture, and code reviews.

A company is building a platform that integrates movement, breath, and meditation into one place, aiming to contribute to a more mindful world. To support this mission, they are seeking a Senior Backend Engineer to help build and scale their microservices architecture, ensuring systems are robust, maintainable, and future-proof. The role involves working on backend services in Go, creating efficient gRPC APIs for service-to-service communication, managing builds, testing, and deployments using Bazel, and running services on Google Cloud Platform (GCP) with a focus on scalability and reliability. The engineer will contribute to a modular microservices architecture that supports a growing product.

A company is looking for an experienced Head Of Electronic Development to lead a hardware and software development team, both technically and disciplinarily. The goal of the project is to ensure the quality of technical deliverables, plan and carry out strategic research and development, and optimize existing processes and systems. The role includes participating in agile project management, cost assessment and proposal preparation, as well as team and capacity planning. The candidate will be responsible for the professional development of team members and will communicate closely with customers and suppliers. Main tasks: - Technical and disciplinary leadership of a HW+SW development team - Participation in agile project management, cost assessment, and proposal preparation - Team and capacity planning - Professional development of team members - Responsibility for the quality of formal and technical deliverables - Cost calculation and pricing of products, especially PCBA - Planning and execution of strategic research and development - Communication with customers and suppliers - Optimization of existing processes and systems

The overall goal is to implement the “Omni-Channel Optimization with AI” project within the given timeframe, resources, and requirements. In this context, the enhancement of the NV Agent Assist, the development of AI use cases, and their implementation will be supported. - Consulting on the enhancement of the NonVoice Assist (agent-facing AI product in the Assist and Automation division) - Analyzing and defining required data streams to generate additional information for the AI assistant - Analyzing integration options and evaluating the commercial effects - Designing use cases along the transaction flows that include the new information/data and implementing or embedding them into existing (service) subprocesses - Designing the integration of the use cases into the existing IT infrastructure and extending their applications by linking along the flows and processes - Documenting solution approaches and analyses using Confluence - Defining the use cases in JIRA, optionally in Excel, to be uploaded to JIRA - Creating commercial presentations in the form of a management deck

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.

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 Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - 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.

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.

A company is looking for an experienced SAP IS-U consultant specializing in market communication and regulatory processes in the energy sector. The project goal is to optimize and transform market processes and support the implementation of new regulatory requirements. The consultant will play a key role in planning and conducting workshops, analyzing processes, and supporting the go-live process. They will also assist with quality assurance and test management. Key responsibilities: - Planning, leading, and moderating workshops as well as creating fit and gap analyses - Developing and documenting new market processes and adapting existing workflows - Implementing master data and processes in the area of market communication - Supporting the client with test management and quality assurance - Reviewing and improving regulatory workflows and market roles - Supporting the go-live process and assisting with system rollout - Independently handling topics such as market communication setup, regulatory processes, configuration of market roles (e.g., DSO, suppliers), processes for deregulated markets, compliance, and market message processing including outbound/inbound communication

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 a Rust developer to train an AI model (Large Language Model - LLM). You help AI make sense of the world. As a consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (a minimum of a few hours per week) and those interested in full-time opportunities. - Code generation and code review - Prompt evaluation and complex data annotation - Training and evaluation of large language models - Benchmarking and agent-based code execution in sandboxed environments - Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) - Adapting guidelines for new domains and use cases - Following project-specific rubrics and requirements - Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects

A company is seeking a Prototyping Specialist to create prototype garments based on provided techpacks. The prototypes will be used for exhibitions, testing, and high-visibility events. The role requires 100% onsite presence in Herzogenaurach and involves working closely with internal and external stakeholders to ensure the highest quality standards. - Develop prototype garments according to techpacks and production tolerances. - Ensure prototypes meet quality standards for exhibitions, tests, and events. - Collaborate with internal teams to validate final samples. - Provide updates on the status of prototypes and offer professional consultancy on workmanship and processes. - Support the delivery of garments for innovation exhibitions, creative direction photo shoots, and public appearances.

A company is looking for an experienced Data Engineer to build a central data hub for existing customer data. The project aims to consolidate the distributed data landscape of existing customer data and create a unified structure that enables data-driven initiatives. - Building a central data hub for existing customer data - Consolidating and standardizing data from different billing systems - Implementing semi-manual processes for data loading in the initial phase - Preparing and implementing full automation and system integration - Ensuring data quality and consistency - Supporting data-driven analyses and campaigns

We are looking for an 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.

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: - Develop and optimize Python scripts for automation and AI tasks. - Handle and analyze large datasets efficiently. - Improve and refine AI-generated content for accuracy and quality. - Format and troubleshoot technical workflows to ensure smooth operations. - Collaborate with cross-functional teams to enhance AI tools and processes.

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.

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.

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.

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 Kotlin 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

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