Remote Engineer

About the role

This role offers an experienced Engineer or Applied Science professional the chance to apply real-world technical expertise to train and improve advanced AI systems. You will review AI-generated responses to complex science and engineering prompts, identify reasoning and calculation errors, design realistic technical problems from your own experience, and write expert-level solutions to serve as training data. The position is fully remote, project-based, and focused on rigorous technical analysis, precise written communication, and independent, self-directed work over a 12-week engagement.

Responsibilities

• 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.

Essential Skills

• 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.

Additional Skills & Qualifications

• 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.

Work Environment

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.

Pay

The pay range for this position is $125.00 per hour. Individual compensation offered within this range will depend on qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Benefits

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)