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 suits both experts seeking part-time work (minimum of a few hours per week) and those interested in full-time opportunities. Responsibilities: - Carefully review provided data (text, images, or videos). - Review tasks submitted by the development 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 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.

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.

The development and quality assurance of the data layer includes its complete provisioning through the respective web application. The data layer forms the central data foundation for analyzing user behavior and for personalized content during the website visit. To increase reliability and stability, automated tests should be used to significantly reduce manual regression tests. For this task, a Test Automation Engineer with a focus on Playwright (Elastic) is needed. - Development and implementation of automated end-to-end tests with the npm package @elastic/synthetics (Playwright) for data layer tests. - Analysis of existing test processes, identification and prioritization of automation potentials. - Creation, maintenance, and optimization of test scripts considering current best practices. - Integration of automated tests into existing CI/CD pipelines (e.g., Jenkins, GitHub Actions) to enable continuous test automation. - Documentation of test cases, test results, and test coverage in tools like Jira and Confluence. - Advising stakeholders on the selection and introduction of appropriate test strategies, test tools, and frameworks. - Conducting code reviews for test automation scripts to improve quality and maintainability. - Preparing decision templates and recommendations for action to further develop test automation. - Providing advice on error analysis and resolution within test automation. - Consulting on setting up reports and alerting with Elastic Observability. - Promoting traceability and reproducibility of test results.

- Independent troubleshooting and sustainable error resolution - Performing preventive maintenance tasks - Service and upkeep of machines and automated production systems with the latest technology - Documentation of work performed - Continuous optimization of our equipment and processes - Openness and appreciation for your suggestions and ideas

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.

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 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.

A company is looking for a freelance mechanical engineering experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in mechanical 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 mechanical 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.

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.

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.

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

For our client we are looking for a Chinese-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 accommodates both experts seeking part-time engagement (minimum a 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.

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.

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 replacing the Consent Layers currently provided by third-party CMPs on the web for our international brands, these layers need to be reimplemented so we can run and serve them 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 to verify correct function. What exactly is the scope of work: The focus is on preparing decision-making elements for the approach and implementing measures along the resulting project workflow. This specifically includes the following work packages: - Implementation of code - Implementation of executable tests that must pass with test coverage >= 80% before delivery - Creation of documentation for the code - Creation of brand-specific cmp-config files. - Setting up 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.). - Including the required official IAB GVL translations (ES, FR) in the weekly sync with GVL - Implementation of I18n and preparation of brand-specific data sources - Implementation of PMC2.0 backend usage modules - Implementation of the playout logic - Implementation of 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, and tested with Vitest.

To strengthen data-driven cross & upsell as well as retention campaigns, Customer Interaction runs a platform where campaign processes including a profiler are developed, orchestrated, and monitored. We are looking for support in the following areas: Analysis & Consulting - Functional and technical analysis of existing campaign processes - Advising on data flows, selections, and profiling strategies Development in PL/SQL - Implementing and optimizing data selection, transformation, and aggregation pipelines in Oracle PL/SQL - Mapping predefined business logic for customer segmentation Testing & Quality Assurance - Planning and executing unit, integration, and regression tests - Documenting test cases and results Operations & Monitoring - Monitoring running jobs and workflows (performance, error handling) - Tuning SQL queries and batch processes Communication Outputs - Connecting and supplying channels for email, SMS, outbound calls, and mail - Implementing data-driven personalization and targeting

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

The Digital Analytics department uses Adobe Experience Cloud to deliver personalized user experiences. The goal is to increase conversion rates and improve customer experience through targeted personalization and testing. The technical implementation is handled independently by specialized consultants. - A core part of the tasks includes maintaining the existing implementation within the Adobe Experience Platform. This particularly involves monitoring the data and troubleshooting source connectors. - As part of preparing new features for use in the Adobe Experience Platform, requirements and data are first translated into Adobe’s Experience Data Model. This includes creating entity-relationship diagrams (ERDs) and contextualizing the relevant data. - Based on that, the corresponding schemas are created within the platform and datasets are prepared for further use. - Further activities include designing and setting up both new activation channels and additional data sources. - In addition, new business-relevant use cases are developed across the various phases of the customer journey to specifically increase business value. - Creating segments and performing error analyses using targeted SQL queries. - Consulting on all newly introduced processing activities, covering compliance with applicable data protection regulations, the required internal approval processes, as well as documenting legal and technical specifics.

The Digital Analytics department uses the Adobe Experience Cloud to implement personalized user experiences. The goal is to increase conversion rates and improve the customer experience through targeted personalization and testing. The technical implementation is carried out independently by specialized consultants. - Design and technical implementation of personalized user experiences with Adobe Target - Implementation of A/B and multivariate tests, including quality assurance in live environments - Integration of Adobe Target into complex system landscapes, including Adobe Experience Platform and Adobe Experience Manager - Development of targeting logic based on segments, real-time data, and user behavior - Advice on new features and best practices within the Adobe Experience Cloud - Preparation of technical decision templates for the development of the personalization strategy - Documentation and handover of developed solutions in Confluence and similar tools - Preparation of technical materials for data protection, especially data flow diagrams - Advice on GDPR-compliant use of Adobe Target and related systems - Conducting workshops to introduce Adobe Target