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 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.

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 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.

An AI data labeling and annotation company is looking for experienced Salesforce Administrators to contribute to an innovative project aimed at training a machine learning model to use Salesforce. The role involves leveraging Salesforce expertise, Python, and SQL to design workflows, extract data, and optimize processes for model training. This is a unique opportunity to work at the intersection of AI and CRM systems in a cutting-edge environment. Key responsibilities: - Collaborate with data scientists and engineers to design workflows and processes for training a machine learning model to use Salesforce. - Extract, manipulate, and integrate data using Python and SQL to support model training. - Optimize Salesforce configurations and functionalities to align with AI-driven objectives. - Provide insights and recommendations for improving the model’s interaction with Salesforce. - Document processes and ensure compliance with industry standards.

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 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 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.

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.

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 Head Of Electronic Development to take over the technical and disciplinary leadership of a hardware and software development team. The goal of the project is to ensure the quality of technical work products, plan and carry out strategic pre-development, and optimize existing processes and systems. The role includes working in agile project management, cost estimation 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 estimation and proposal preparation - Team and capacity planning - Professional development of team members - Responsibility for the quality of formal and technical work products - Cost calculation and pricing of products, especially PCBA - Planning and execution of strategic pre-development - Communication with customers and suppliers - Optimization of existing processes and systems

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.

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 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

For an AI lab we are looking for a Rust Developer to train an AI model (Large Language Model (LLM)). You help AI to 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 (at least 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

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 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 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.