We are offering a project-based opportunity for independent contributors who are curious about artificial intelligence and excited to learn how advanced AI models are built, evaluated, and improved. These opportunities may be suitable for people who are early in their academic journey, exploring potential specialties, or simply eager to engage on real-world AI development work on a flexible project-by-project basis. In this project, you will interact directly with AI systems, review model outputs, follow clear task guidelines, and contribute to the creation of high-quality training data. You may work on activities such as evaluating responses, identifying inconsistencies, providing feedback, or helping structure information so that models learn more effectively. All tasks are well-defined, and you will receive task guidance and examples to help you succeed. You should be comfortable working independently, paying close attention to detail, and communicating clearly about what you observe. A thoughtful, reflective approach—explaining your reasoning and noting uncertainties—is highly valued, as it helps improve both the models and the training process. This project is well-suited for individuals who enjoy problem-solving, learning through practice, and contributing to innovative technology. This project offers a unique opportunity to gain practical exposure to AI development without needing a technical background. During your engagement you may pick up transferable skills in critical thinking, evaluation, and structured communication while contributing to systems that are shaping the future of technology across many industries. If you’re excited to learn and interested in being part of the process that helps AI systems improve and evolve, this project provides a supportive entry point into the world of AI training and development. We offer an earnings range of $18 per hour, with the exact fees determined after verifying your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As an independent contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Contract Type: Freelance / Contract Workplace type: Remote Seniority level: Entry Level

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