Mechanical Engineering Paid Consultant - Applications Engineering, Customer Troubleshooting & Technical Proposals

LinkedIn; United States; Remote; USD 114.000 - 162.000; Teilzeit

Zusammenfassung

LinkedIn seeks experienced Mechanical Applications and Solutions Engineers for a one-time, project-based interview on a contract basis. You will discuss real-world workflows across feasibility analysis, solution scoping, troubleshooting, and technical sales support, drawing on practical, in-production experience.

The engagement is remote, paid at $100/hr (prorated for the 45-minute task). Candidates should demonstrate detailed, step-by-step explanations of how they work.

Qualifikationen

• 5+ years in mechanical applications engineering and customer solution development
• Experience evaluating feasibility, sizing, and solution fit
• Experience in troubleshooting field issues and guiding to resolution
• Experience estimating costs and preparing technical proposals or bids

Aufgaben

• Explain how you evaluate feasibility, sizing, and solution fit.
• Describe troubleshooting field issues and technical resolutions.
• Translate customer problems into actionable design or product feedback.
• Estimate costs, scope solutions, and prepare proposals or bids.
• Walk through application intake, feasibility analysis, solution scoping, troubleshooting, design feedback, estimating, proposal development, and technical sales support.

Kenntnisse

Mechanical engineering experience

Customer solution development

Workflow explanations

Cross-functional collaboration

Tools

CRM systems

CAD

PLM

Estimating tools

Spreadsheets

Simulation tools

Proposal platforms

Jobbeschreibung

We are seeking experienced Mechanical Applications and Solutions Engineers (Applications Engineers, Sales Engineers, or Customer Solutions Engineers) to provide expert insight as part of a project for our AI Marketplace. No preparation required - just your real-world experience.

This is a one-time, paid, project-based interview engaged on a contract basis - not a full-time role.

Location: U.S.-based experts only

Engagement: One-time, project-based interview

Work Type: Remote

Estimated rate: $100/hr (prorated for the 45-minute task)

What You'll Do

You'll complete a ~45-minute recorded AI-led video interview where you explain how you actually do your work in practice.

This interview will focus on:

• How you evaluate customer applications for feasibility, sizing, and solution fit
• How you troubleshoot field issues and guide customers to a technical resolution
• How you translate customer problems into actionable design or product feedback
• How you estimate costs, scope solutions, and prepare technical proposals or bids

You will be asked to explain workflows specifically within: application intake, feasibility analysis, solution scoping, troubleshooting, design feedback, estimating, proposal development, and technical sales support.

You should only apply if you can confidently walk through these areas step-by-step based on your own experience and respond to AI-led interview questions with depth, clarity, and real-world examples.

What We're Looking For

• 5+ years in mechanical applications engineering and customer solution development
• Direct, hands-on experience in application intake, feasibility analysis, solution scoping, troubleshooting, design feedback, estimating, proposal development, and technical sales support
• Experience making or influencing decisions related to technical feasibility, configuration and sizing, troubleshooting path, design-change priority, cost assumptions, proposal risk, and solution fit
• Familiarity with tools such as: CRM and case-management systems, CAD or product configurators, PLM systems, estimating tools, spreadsheets, simulation tools, and proposal platforms
• Strong ability to clearly explain workflows, decisions, and reasoning
• Experience owning or directly executing these workflows in a real production environment
• Experience working in a relevant cross-functional environment

About the Interview

The interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries.

This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose.

Once you complete the interview, we'll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement.

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