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About the Role

This role offers an opportunity for an experienced mechanical 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.

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.

Requirements

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 mechanical engineering, mechanical 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.
Current residence within the United States.

Skills

Mechanical Engineering
Mechanical Design
Experimental Design
Data Analysis
Technical Writing
Data Visualization
Predictive Modeling
Quality Engineering
AI
Machine Learning
Google Workspace

Location

New York, NY

Work Type

Contract
Remote

Experience Level

5+ years of applied science or engineering experience

Education Level

Advanced degree in a relevant engineering or scientific discipline is beneficial
Professional licensure such as Professional Engineer (PE) or similar certifications is a plus

Salary/Compensations

$125.00/hr

Benefits

Medical
Dental
Vision
Critical Illness
Accident
Hospital
401(k) Retirement Plan
Life Insurance
Short-term disability
Long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)

About the Company

Aston Carter provides world-class corporate talent solutions to thousands of clients across the globe.
Specialized in accounting, finance, human resources, talent acquisition, procurement, supply chain and select administrative professions, we extend the capabilities of industry-leading companies.
We draw on our deep recruiting expertise and expansive network to meet the evolving needs of our clients and talent community with agility and excellence.
With offices across the U.S., Canada, Asia Pacific and Europe, Aston Carter serves many of the Fortune 500.
We are proud to be a ClearlyRated Best of Staffing® Platinum Award winner for both client and talent service.

Equal Opportunity

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email astoncarteraccommodation@astoncarter.com for other accommodation options.
Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.