Handshake AI
Handshake AIVerified listing
Remote

Mechanical Engineering Expert - Remote Fellowship

Up to 75/hr
Remote
Posted September 17, 2026
Part-Time
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Listing checked September 18, 2026 · pay as published by Handshake AI

Overview

Handshake AI recruits mechanical engineering undergraduates into its AI research community. Fellows help large language models handle mechanical engineering topics by writing domain prompts and reviewing model output. The fellowship runs remote and asynchronous, so you set your hours and carry no minimum commitment. Projects appear year-round, but placement depends on domain availability.

What You'll Do8

  • 1Write domain prompts that test how well a large language model handles mechanical engineering topics.
  • 2Review LLM responses for technical accuracy, reasoning quality, and clear explanations.
  • 3Point out where model answers miss core engineering principles or use flawed assumptions.
  • 4Research mechanical engineering subjects that interest you, with AI tools available as support.
  • 5Build reference explanations that show how an expert would approach a problem.
  • 6Partner with AI labs on project tasks that run on your own schedule.
  • 7Track project expectations and deliver work without a fixed weekly hour requirement.
  • 8Pick up new AI and engineering skills as projects change.

Requirements8

  • 1Current undergraduate enrolled in a mechanical engineering program.
  • 2Solid command of core mechanical engineering concepts and at least one subdomain.
  • 3Ability to explain technical ideas in precise, readable language.
  • 4Comfort with remote, asynchronous project work and independent scheduling.
  • 5Confidence that your expertise can outperform current AI systems on domain questions.
  • 6Skill at judging whether an AI answer is accurate, incomplete, or misleading.
  • 7Interest in large language model development and AI research.
  • 8Capacity to research unfamiliar topics and turn findings into useful evaluation material.

Who Should Apply

The ideal candidate is a current mechanical engineering undergraduate who can turn technical concepts into clear prompts and sharp critiques. You should enjoy independent research and feel ready to challenge an AI model when it gets engineering fundamentals wrong. The fellowship fits less well if you need a fixed schedule, since project availability changes and no minimum hours exist. Applicants often score low when they cannot confirm current undergraduate status in mechanical engineering or when their writing lacks technical depth. Treating the work as generic data labeling instead of expert evaluation also hurts your fit.

Salary Insight

The posting lists pay up to $75.00 per hour, with no minimum hour commitment attached to the fellowship. That rate sits at the high end for part-time, project-based AI training roles that call for a technical degree. Your total earnings will depend on how many projects you join and how many hours you choose to work.

Pay and demand for Mechanical Engineering roles

Aggregated

Typical pay

$75/hour

This role

up to $75/hr

Most Mechanical Engineering roles pay $55–$100 per hour. This role's pay falls inside that range.

Based on 543 similar roles that publish pay · 90 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
603
Listed in last 30 days
268
Remote
98%

Hiring most right now: micro1 (275) · Mercor (87) · SME Careers (60)

Most requested skills · share of roles

  • python
    18%
  • technical writing
    9%
  • llm evaluation
    8%
  • data annotation
    7%

Figures from Mechanical Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

Compare your resume against these roles

Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Compensation

Up to $75/hr

Required Skills

mechanical engineeringlarge language modelsprompt engineeringllm evaluationai trainingai researchtechnical writingdomain expertiseasynchronous workremote collaboration

Application Tip

List your current undergraduate mechanical engineering program, expected graduation date, and two subdomains you know well, such as thermodynamics, fluid mechanics, or robotics. Add a short sample where you evaluate an LLM answer and explain what it missed.

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