# Mechanical Engineer, AI Expert (Full-Time, US)

> Weekday AI · United States (Remote) · Full-time · Posted 2026-11-12

**Workplace:** remote

**Department:** AI Training

## Description

**This role is for one of our clients**

**Compensation: $60-$90 per hour**

**Location:** Remote (United States)  
**Employment Type:** Full-Time, W-2  
**Work Commitment:** 40 hours per week  
**Initial Engagement:** 2–3 months, with a strong possibility of extension

## Job Overview

We are seeking experienced Mechanical Engineers with strong, hands-on industry expertise to contribute to the development and evaluation of next-generation AI models. This opportunity is designed for practicing engineering professionals who have independently owned real-world designs, analyses, and mechanical systems and can apply sound engineering judgment to complex technical challenges.

In this role, you will work directly with research and program management teams at a leading AI lab to improve how advanced AI models understand, reason about, and solve practical mechanical engineering problems. Your expertise will help shape high-quality training datasets, develop technical benchmarks, create reference solutions, and establish evaluation standards that measure the accuracy and reliability of AI-generated engineering outputs.

This is a full-time, fully remote W-2 employment opportunity within the United States. You will be provided with client-issued accounts and equipment and will collaborate with the client's internal research teams using their tools and workflows.

## Requirements

## Key Responsibilities

-   **Technical Review and Quality Assurance:** Evaluate mechanical engineering tasks and AI-generated solutions, identifying incorrect assumptions, missing constraints, unit and tolerance errors, unsafe design decisions, and technically unsound recommendations.
-   **Instruction Specifications and Reference Solutions:** Develop clear technical instructions, create detailed reference solutions, and design engineering tasks that reflect real-world industry practices and problem-solving requirements.
-   **Benchmark and Evaluation Development:** Build challenging engineering tasks and evaluation datasets across mechanical design, thermal and fluid systems, structural and stress analysis, manufacturing engineering, and control systems.
-   **Engineering Validation:** Assess whether AI-generated solutions meet practical engineering requirements, design constraints, safety considerations, and applicable industry standards.
-   **Technical Feedback:** Provide precise, structured written feedback to improve the accuracy, consistency, and practical relevance of AI model outputs.
-   **Research Collaboration and Calibration:** Work closely with AI researchers and subject-matter experts from adjacent disciplines to establish consistent evaluation standards and translate practical engineering judgment into measurable criteria.

## Required Qualifications

-   Bachelor's degree or higher in Mechanical Engineering or a closely related engineering discipline.
-   Minimum of 5 years of hands-on professional mechanical engineering experience in an industry environment.
-   Relevant experience in one or more of the following areas:

-   Mechanical product design and development.
-   Thermal engineering and fluid systems.
-   HVAC and industrial systems.
-   Structural engineering and stress analysis.
-   Manufacturing and production engineering.
-   Automotive and aerospace engineering.
-   Energy systems.
-   Robotics and medical devices.

-   Demonstrated ownership of real-world engineering projects, such as component or system design, FEA or CFD analysis, preparation and release of engineering drawings and specifications, design reviews, product testing, validation, and production.
-   Proficiency with commonly used engineering tools and software, including SolidWorks, CATIA, Siemens NX, Creo, AutoCAD, ANSYS, Abaqus, or MATLAB.
-   Familiarity with relevant engineering codes and standards, including ASME, ASTM, ISO, and Geometric Dimensioning and Tolerancing (GD&T) as per ASME Y14.5.
-   Clear career progression toward senior or lead engineering responsibilities.
-   Practical experience using large language models (LLMs) in a professional environment, along with the ability to distinguish technically sound AI-generated responses from plausible but incorrect solutions.
-   Excellent written communication skills and the ability to provide clear, detailed, and well-structured technical feedback.
-   Ability to commit reliably to 40 hours per week for the initial engagement period.

## Preferred Qualifications

-   Professional Engineer (PE) license.
-   Experience leading mechanical engineering projects or managing design, analysis, testing, and validation activities.
-   Experience working with multidisciplinary engineering and research teams.
-   Familiarity with AI model evaluation, technical benchmark development, or engineering assessment frameworks.

## Employment Details

-   **Work Arrangement:** Fully remote within the United States.
-   **Employment Type:** Full-time, W-2 employment.
-   **Work Schedule:** 40 hours per week.
-   **Initial Duration:** 2–3 months.
-   **Extension:** Strong possibility of extension based on performance and project requirements.
-   **Equipment and Access:** Client-issued accounts and equipment will be provided.
-   **Work Environment:** Direct collaboration with the client's research and program management teams, using internal tools and established workflows.
-   **Engagement Structure:** This is a structured, role-based employment opportunity rather than a freelance or project-based engagement.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/2803A1EA3C/apply)

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