Role Description We are looking for skilled professionals to contribute as S2 Annotators, responsible for producing and validating high-quality Computer-Use Agent (CUA) trajectories for developer-adjacent workflows. This includes tasks such as file operations, light scripting, API interactions, and browser automation. This role requires a strong understanding of technical workflows, attention to detail, and the ability to translate natural language instructions into precise, step-by-step executable actions that can be used to train advanced AI systems. What does day-to-day look like: - Create detailed, step-by-step positive CUA trajectories for technical tasks (e.g., file manipulation, scripting, API calls, browser-based workflows) - Break down natural language instructions into clear, verifiable actions - Validate and review trajectories for correctness, completeness, and reproducibility - Work within Linux desktop environments to execute and document workflows - Use scripting (Python/Bash) to simulate or validate task execution where required - Interact with tools and environments involving APIs, terminals, and browser automation - Collaborate with internal teams to refine task quality and annotation guidelines - Ensure consistency, accuracy, and high-quality standards across all annotations Qualifications - 2–5 years of experience in software development, technical support, or similar technical roles - Strong familiarity with Linux environments and command-line operations - Proficiency in at least one scripting language: Python or Bash - Ability to decompose complex instructions into structured, step-by-step workflows - Strong attention to detail in documenting technical processes - Exposure to LLM-based tools, AI systems, or agentic workflows - Basic understanding of APIs, file systems, and developer tooling - Familiarity with OpenClaw or similar environments/tools Requirements - Prior experience in data annotation, RLHF, or SFT labeling workflows (nice to have) - Exposure to CI/CD pipelines, REST APIs, or terminal-based automation (nice to have) - Experience working with browser automation tools or developer productivity tools (nice to have) - Background in evaluating or improving AI-generated outputs (nice to have) Benefits - Engagement type: Contractor assignment/freelancer (no medical/paid leave) - Duration: 5 weeks Evaluation Process - Resume screening - Take home assessment (60 mins)

• Design and develop ML models for high impact engineering solutions • Build, train, and optimize machine learning and deep learning models to solve complex problems • Data collection and preprocessing • Feature engineering • Model evaluation and monitoring • Deployment and integration • Research and innovation • Documentation and reporting • Uphold ethical standards and ensure compliance with regulations

• Develop, test and maintain Java backend applications • Write clean, efficient, and well-documented code • Design and implement data models and database schemas • Collaborate with the frontend team to integrate the backend with the user interface • Perform code reviews and ensure code quality standards are met • Troubleshoot and debug applications • Work with the DevOps team to deploy and manage applications in production • Continuously learn and stay up-to-date with new technologies and industry trends

• Als AI Engineer (m/w/d) hast du die Chance, an wegweisenden Projekten zu arbeiten und intelligente Systeme zu entwickeln, die die Art und Weise, wie wir arbeiten und leben, revolutionieren. • Nutze deine Expertise im Machine Learning, um den Fortschritt in unserer Branche aktiv voranzutreiben und werde Teil von RLVNT!