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.

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

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 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 interim marketing professional to support its marketing department. The goal of the project is to develop and implement a local marketing strategy, establish partnerships within the industry, and engage with key opinion leaders (KOL). Additionally, the role involves the conception and execution of omnichannel campaigns to enhance brand visibility and drive engagement. Key responsibilities: - Develop and implement a local marketing strategy tailored to the industry. - Identify and establish partnerships within the industry. - Engage and collaborate with key opinion leaders (KOL) to strengthen brand presence. - Design and execute omnichannel campaigns to drive engagement and visibility. - Provide strategic insights and recommendations to the marketing team.

The service is requested within the scope of optimizing the performance management of the online business. The goal of the project is to advise on optimization potentials and implement the optimization measures resulting from the analysis. - Analysis of existing e-commerce performance (for the categories Postpaid/ Landline/ Digital Products/ Prepaid) and their drivers - Derivation and prioritization of optimization measures to increase conversion rates, revenue, and margin - Creation of an action plan for implementation including definition of success KPIs - Consulting on the planning and execution of online campaigns and promotions - Strategic and operational consulting on the development of customer journeys and digital sales processes - Preparation of decision papers, management reports, and an implementation roadmap

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.

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 Korean 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 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 an 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 (a 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 annotator 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.

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 looking for experienced project managers and account managers who can execute international campaigns on a hands-on basis. The role requires close collaboration with different markets and stakeholders to ensure campaigns are carried out effectively and on time. The position is ideal for candidates with extensive agency experience, especially in implementing traditional campaigns. Experience at renowned agencies like Media Monks or similar is a plus. Main responsibilities: - Planning, execution and monitoring of international campaigns - Close collaboration with international markets and stakeholders - Ensuring adherence to schedules and budgets - Coordination of teams and resources - Reporting and analysis of campaign results

A company is looking for an experienced software developer to build safety-critical systems for the defense sector. The goal is to design and deliver robust software solutions from concept through delivery. The focus is on applying modern technologies such as Java (Jakarta EE, Eclipse RCP, JavaFX, OSGi, JFoenix, EMF) and/or C++ (C++14/17) to develop high-performance applications for Windows and Linux (AlmaLinux/RHEL), including specialized hardware and embedded systems. The role includes the development and integration of various interfaces, such as for cryptography, mapping, or specialized hardware components. The candidate will work in agile processes and collaborate closely with colleagues, project teams, and customers. Quality assurance through automated tests and emulators in a CI/CD pipeline is a central part of the work. The projects are diverse and offer responsibilities in architecture, system integration, test automation, as well as specialized areas like GPU-based signal processing. Communication with internal and external stakeholders and close cooperation with project teams and customers are also part of the role. - Responsibility for the entire development cycle (requirements analysis, architecture & design, implementation, testing & validation) - Development of (hardware-near) applications

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.

Objective: Reorganize and migrate the existing Linux infrastructure and IAM platform into a hybrid target environment (on-prem + hyperscaler) Components: - Analysis & Target Architecture - Gather current Linux systems, workloads, and interfaces - Design a scalable and highly available target infrastructure (including network and storage concepts) - Define the target architecture considering scalability, security, and availability - Assessment of the Existing IAM Solution - Gather current IAM platform, workloads, and interfaces - Define the new target infrastructure (on-prem & cloud) - Integration of the Existing IAM Solution - Migrate and integrate the current IAM structure into the new target infrastructure (e.g. IDM, LDAP, Azure AD) - Architecture for centralized authentication & authorization across all target environments - SSO and MFA concepts including federation with hyperscalers (e.g. SAML, OIDC, SCIM) - Ensure auditability and compliance requirements (GDPR, ISO27001) - Migration Strategy - Define migration paths: lift & shift, replatforming - Define, plan, and orchestrate moves including downtime, fallback, and test plans - Automation & Standardization - Enhance IaC (e.g. Terraform, Ansible) - Build reusable system and security components - Hybrid/Multi-Cloud Architecture - Design and set up cloud connections (e.g. AWS, Azure, GCP) - Secure and federate cloud resources with the existing IAM - Introduce a consistent identity lifecycle - Handover & Documentation - Create operational, architecture, and security documentation - Conduct knowledge transfer workshops for operations and security

For an AI lab we are looking for a Portugese speaking freelance consultants to train an AI model (Large Language Model - LLM) in various domains: 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 Responsibilities: - Carefully review analyze provided data by AI in your domain of expertise. - Improve the model in your domain of expertise. - Review AI results and ensure quality assurance/quality control. - Label or classify content based on project guidelines.