Part-Time Mechanical Engineer

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $125 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧑‍🔧 Mechanical Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aston Carter

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1997

🎯 Recruiter

💼 Consulting

🤝 B2B

Recruitment • Consulting • B2B

Aston Carter is a global staffing and recruitment firm that provides contract and permanent talent solutions and consulting services to businesses. The company (an Allegis Group company) focuses on areas including accounting & finance, office & clerical, business transformation, sales & marketing, risk and KYC programs, and interim HR/staffing solutions. Aston Carter emphasizes candidate and client satisfaction, operates across four continents with more than 130 offices, and delivers staffing, contract staffing and specialised consulting services to enterprise clients.

📋 Description

• Review and evaluate AI-generated responses involving scientific reasoning, engineering analysis, calculations, experimental design, and technical explanations • Identify factual errors, flawed assumptions, statistical traps, measurement issues, and incomplete or inconsistent reasoning • Design realistic, challenging technical problems and scenarios based on professional mechanical engineering or applied science experience • Write clear, technically rigorous, expert-level solutions and explanations for AI training data • Grade AI-generated work against detailed evaluation criteria and rubrics • Flag errors and ambiguous or flawed reasoning and provide corrective feedback • Run assigned tasks through AI models, review outputs, and iteratively revise work based on expert feedback • Follow written instructions, documentation standards, formatting rules, and file-upload requirements • Maintain quality, accuracy, and productivity throughout the 12-week engagement • Complete long-form independent assignments requiring focused work • Work with test and measurement datasets, instrument outputs, and engineering design or simulation files • Use data analysis, data visualization, predictive modeling, and quality engineering practices where relevant

🎯 Requirements

• At least 5+ years of applied science or engineering experience in industry or advanced research, 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 • 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 analysis tools and software commonly used in your engineering or scientific field • Strong technical writing skills • 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 cloud-based file tools such as Google Workspace or similar platforms • Ability to manage browser profiles, install desktop applications, convert between Excel and Google Sheets, and create compressed zipped files • Ability to work independently 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 • Advanced degree in a relevant engineering or scientific discipline is beneficial, though practical expertise is emphasized over formal credentials • Professional licensure such as Professional Engineer (PE) or similar certifications is a plus • Experience in quality engineering • Familiarity with data visualization tools and techniques • Exposure to predictive modeling, simulations, or computational analysis methods • Experience in process analysis, testing, measurement, modeling, or simulation involving technical systems and data • Interest in AI, machine learning, or data-driven systems

🏖️ 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)