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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Engineer - **Company:** Actalent - **Location:** Virginia Beach, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $260,000.0 - **Contract:** Temporary to permanent - **Skills:** Training Data, Microsoft Excel, Artificial Intelligence, Data Analysis, Software Applications, Cloud Computing, Software Documentation, Data Visualization, Machine Learning, Technical Data Management Systems, Data Analytics, Gsuite - **Published:** August 25, 2026 - **Apply:** https://dejobs.org/x/x/6B4BEBA756134ECFACFB5B316CBE41CF/job/ ## About the Role * Current residence within the United States. * At least 5+ years of applied science or engineering experience in industry or advanced research, such as mechanical, electrical, civil, materials, energy, chemical, environmental, physics, or similar fields, excluding undergraduate study. * Hands-on practitioner experience, currently or recently performing detailed individual-contributor work rather than working solely in a managerial capacity. * Strong background in engineering, design, or closely related engineering disciplines, with the ability to perform rigorous technical analysis and calculations. * Experience with experimental design, including planning, executing, and interpreting experiments or tests. * Proficiency in data analysis, including working with test and measurement data, instrument outputs, and other real-world technical datasets. * Comfort using the analysis tools and software commonly used in your engineering or scientific field. * Strong technical writing skills, with the ability to explain complex engineering and scientific concepts clearly, concisely, and accurately. * Ability to read and follow detailed written instructions carefully and consistently. * Receptiveness to feedback and willingness to revise work through multiple review cycles. * Baseline technology literacy, including comfort with cloud-based file tools such as Google Workspace or similar platforms. * Ability to manage browser profiles, download and install desktop applications, and handle everyday file operations such as converting between Excel and Google Sheets and creating compressed (zipped) files for sharing. * Ability to work independently and effectively in a remote, self-directed environment. * Availability to commit approximately 30-40 hours per week over the full 12-week engagement., * Advanced degree in a relevant engineering or scientific discipline is beneficial, though practical expertise is emphasized over formal credentials. * Experience in quality engineering, including developing or applying standards, criteria, or rubrics to assess technical work. * Familiarity with data visualization tools and techniques to interpret and present technical data clearly. * Exposure to predictive modeling, simulations, or other computational analysis methods used in engineering and applied science. * background in process analysis, testing, measurement, modeling, or simulation work that involves hands-on interaction with technical systems and data. * Interest in AI, machine learning, or data-driven systems, particularly in the context of improving technical accuracy and reliability. * Enthusiasm for applying engineering and scientific expertise in a non-traditional role focused on training and evaluating AI systems. ## Description This role offers an opportunity for an experienced Engineer or Applied Science professional to use their real-world technical expertise to train and improve advanced AI systems. You will review AI-generated responses to complex science and engineering prompts, identify errors in reasoning and calculations, design realistic technical problems from your own experience, and write clear, expert-level solutions that serve as training data. This is a fully remote, project-based position focused on rigorous technical analysis, precise written communication, and independent, self-directed work over a 12-week engagement., * Review and evaluate AI-generated responses involving scientific reasoning, engineering analysis, calculations, experimental design, and technical explanations for correctness, completeness, and rigor. * Identify factual errors, flawed assumptions, statistical traps, measurement issues, and incomplete or inconsistent reasoning in AI-generated content. * Design realistic, challenging technical problems and scenarios based on your professional mechanical engineering or broader applied science and engineering experience. * Write clear, technically rigorous, expert-level solutions and explanations that can be used as high-quality AI training examples. * Grade AI-generated work against detailed evaluation criteria and rubrics, assessing accuracy, clarity, and adherence to technical standards. * Flag errors, ambiguous statements, and flawed reasoning in model outputs and provide specific, constructive corrective feedback and guidance. * Run assigned tasks through AI models, review outputs, and iteratively revise work based on feedback from expert reviewers. * Follow detailed written instructions precisely, including documentation standards, formatting rules, and file-upload requirements. * Maintain consistent quality, accuracy, and productivity throughout the engagement, meeting throughput expectations over the 12-week period. * Complete long-form, independent assignments that may require several hours of focused, uninterrupted work. * Work with real-world technical data such as test and measurement datasets, instrument outputs, and engineering design or simulation files as needed for problem creation and solution development. * Use data analysis, data visualization, predictive modeling, and quality engineering practices where relevant to evaluate or construct technical examples., * The role is fully remote and offers a flexible schedule within the expectation of a 30-40 hour workweek over a 12-week engagement, with the potential to extend. * You will work in a self-directed environment, managing your own time and focusing on deep, independent technical assignments that may require several hours of concentrated effort. * Collaboration and communication occur through online tools, including cloud-based file platforms such as Google Workspace and other standard desktop applications. * There are no site visits, production schedules, direct reports, or routine stakeholder meetings; instead, the environment centers on thoughtful technical problem-solving, precise written work, and iterative feedback cycles. * The position emphasizes a professional, results-oriented remote culture that values careful analysis, consistent quality, and the ability to leverage real-world engineering and scientific experience in a new and intellectually challenging context. ## Related Videos - [Your next 10x engineer isn't in your city. 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