Logo for Anyone AI

Mechanical Engineering Expert

Role overview

Qualifications

  • Master’s or PhD in Mechanical Engineering or a closely related field
  • Strong research or industry experience involving mechanical systems, engineering analysis, simulation, or mathematical modeling
  • Strong quantitative and problem-solving skills
  • Excellent attention to detail and technical writing skills in English

Responsibilities

  • Design advanced mechanical engineering problems for frontier AI training and evaluation
  • Create deterministic problems with exactly one correct answer
  • Write complete, verified solutions and clearly document the reasoning process
  • Develop problems that test engineering analysis and multi-step reasoning, not just memorization

Key facts

Hard skills

Other skills

  • Problem Solving
  • Detail Oriented

About the company

Anyone AI logo

Anyone AI

E-Learning / EdTech

We invest in talent from Latam to bridge the talent gap in AI. Join our AI community: www.anyoneai.com We are AI / ML experts and second-time entrepreneurs, members of the founding team at Deep Vision AI (acquired in early 2020). We've worked with many Fortune 500 companies completing multiple projects in the early days of AI while leveraging remote talent from LatAm. We are VC-backed from day 1 by top global investors like GFC -Global Founders Capital- (investors in Facebook, LinkedIn, Slack, Canva, Trivago, etc), Canvas Ventures (early investor in Coursera), Latitud Fund (the largest community of angel investors for LatAm including investments in QuintoAndar, La Haus, Clara, Platzi, OnTop, Pomelo, etc), among other investors.

Company details

IndustryE-Learning / EdTech
Company size11 - 50

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Help shape the future of AI by designing challenging mechanical engineering problems that test and improve reasoning in cutting-edge models.

  • Location: Remote

  • Type: Contract / Part-time

  • Commitment: 20 hours per week

  • Compensation: Up to 40 USD / hr

  • Project duration: 2 months, with potential extension

  • Availability: Immediate start

About the role

We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.

We are looking for experts in Mechanical Engineering to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.

What you’ll do

  • Design advanced mechanical engineering problems for frontier AI training and evaluation

  • Create deterministic problems with exactly one correct answer

  • Write complete, verified solutions and clearly document the reasoning process

  • Develop problems that test engineering analysis and multi-step reasoning, not just memorization

  • Work across areas such as mechanics, thermodynamics, fluid mechanics, heat transfer, dynamics, and mechanical systems

  • Where relevant, use Python, MATLAB, CAD/CAE tools, or specialized engineering software to validate solutions

  • Ensure all outputs are technically precise, reproducible, and well-written in English

What we’re looking for

  • Master’s or PhD in Mechanical Engineering or a closely related field

  • Strong research or industry experience involving mechanical systems, engineering analysis, simulation, or mathematical modeling

  • Strong quantitative and problem-solving skills

  • Familiarity with numerical methods and computational engineering

  • Ability to design original, difficult problems that mirror real mechanical engineering workflows

  • Excellent attention to detail and technical writing skills in English

Nice to have

  • Experience with MATLAB, Python, ANSYS, Abaqus, SolidWorks, COMSOL, or similar tools

  • Background in finite element analysis, computational fluid dynamics, optimization, or simulation

  • Experience designing technical assessments, evaluating model reasoning, or developing engineering educational content

  

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Infrastructure Engineer Related jobs

Other jobs at Anyone AI

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.