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

For replacing the previously displayed consent layers by third-party CMPs on the web for our international brands, these layers will be reimplemented so they can be maintained and deployed in-house. This requires solid knowledge of Typescript, Vue.js, and classic web rendering technologies (HTML and CSS). The goal is to deliver executable code that implements all requirements and includes automated tests proving correct functionality. What exactly is the scope of the assignment: The main focus is on developing elements for a decision-making template on the approach and on implementing measures along the designed project course. Concretely, this includes the following work packages: - Implementation of code - Implementation of executable tests, which must pass for delivery, with test coverage >= 80% - Creation of documentation for the code - 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. - Adding new brand-specific CSS themes (variable values, logos, etc.). - Inclusion of required official IAB GVL translations (ES, FR) in the weekly GVL synchronization. - 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, build via Vite, tests via Vitest.

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

An AI Lab is looking for an 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.

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.

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 SAP IS-U consultant with a focus on market communication and regulatory processes in the energy sector. The project aims to optimize and transform market processes while supporting 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 adjusting existing workflows - Implementing master data and processes in the area of market communication - Supporting the client with test management and quality assurance - Revising and improving regulatory processes and market roles - Supporting the go-live process and assisting with production rollout - Independently handling topics such as market communication setup, regulatory processes, configuration of market roles (e.g., DSO, suppliers), deregulated market processes, compliance, and market message processing and outbound/inbound communication

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 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.

For our client we are looking for a chinese speaking AI consultant: 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. Responsibilities: - Carefully review provided data (text, images, or videos). - Review tasks submitted by the developer team and ensure quality assurance/quality control. - Label or classify content based on project guidelines. - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

For an AI studio we are looking for a Spanish speaking data annotation specialist: Annotation is what helps AI make sense of the world. As a QA Annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities Responsibilities: - Carefully review provided data (text, images, or videos). - Review tasks submitted by the Annotators team and ensure quality assurance/quality control. - Label or classify content based on project guidelines. - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

For an AI studio we are looking for a Italian speaking data annotation specialist: Annotation is what helps AI make sense of the world. As a QA Annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities Responsibilities: - Carefully review provided data (text, images, or videos). - Review tasks submitted by the Annotators team and ensure quality assurance/quality control. - Label or classify content based on project guidelines. - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

For an AI lab we are looking for a Portugese speaking data annotation specialist: Annotation is what helps AI make sense of the world. As a QA Annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities Responsibilities: - Carefully review provided data (text, images, or videos). - Review tasks submitted by the Annotators team and ensure quality assurance/quality control. - Label or classify content based on project guidelines. - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

An AI Lab is seeking a legal expert to contribute to the training of their Large Language Model. The goal of the project is to enhance the model's understanding of legal concepts, terminology, and processes to ensure accurate and reliable outputs in legal contexts. The role involves working closely with the AI development team to provide legal expertise, curate relevant datasets, and validate the model's performance in legal scenarios. This is a remote, part-time role that can flex to your availability – from just a few hours per week up to full-time. Key responsibilities: - Collaborate with AI researchers to identify key legal concepts and areas for model training. - Provide expert insights into legal terminology and processes. - Curate and review legal datasets for training purposes. - Validate and test the model's outputs for accuracy and reliability in legal contexts. - Offer guidance on ethical and regulatory considerations in AI applications for legal use cases.

For our client we are looking for a Korean speaking AI consultant: 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. Responsibilities: - Carefully review provided data (text, images, or videos). - Review tasks submitted by the developer team and ensure quality assurance/quality control. - Label or classify content based on project guidelines. - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

For an AI lab we are looking for physicists 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 physicist, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Design original computational physics 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

For our client we are looking for a German-speaking AI consultant: As a consultant, you may be invited to take part in online projects to train the model in your area of expertise. This flexible role is open to both experts looking for part-time work (minimum a few hours per week) and those interested in full-time opportunities. Responsibilities: - Carefully review provided data (text, images, or videos). - Go through tasks submitted by the development team and handle quality assurance/quality control. - Label or classify content according to project guidelines. - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

For our client we are looking for a Japanese speaking AI consultant: 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. Responsibilities: - Carefully review provided data (text, images, or videos). - Review tasks submitted by the developer team and ensure quality assurance/quality control. - Label or classify content based on project guidelines. - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

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