Weekday, Inc. Logo

Weekday, Inc.

Mechanical Engineering Expert

Reposted 14 Days Ago
Remote
Hiring Remotely in United States
65-90 Hourly
Junior
Remote
Hiring Remotely in United States
65-90 Hourly
Junior
Evaluate and review AI-generated mechanical engineering content for technical accuracy and real-world applicability; provide expert answers and feedback; recommend standards and references; share design, manufacturing, and testing insights; identify errors and collaborate with subject-matter experts to improve AI model quality. Part-time, remote, contractor (~10 hrs/week).
The summary above was generated by AI

This role is for one of our clients

Compensation: $65-$90 per hour

We're building a select group of experienced mechanical engineers to help improve how advanced AI systems understand, evaluate, and reason about mechanical engineering concepts. In this role, you'll apply your industry expertise to review AI-generated content, answer technical questions, and provide valuable insights that improve the accuracy, reliability, and practical usefulness of AI systems across mechanical engineering applications.

This is a flexible, fully remote, part-time opportunity requiring approximately 10 hours per week, with the potential for continued collaboration based on project needs and performance.


RequirementsKey Responsibilities
  • Review and evaluate AI-generated content related to mechanical engineering for technical accuracy, completeness, and real-world applicability.
  • Provide clear, well-supported answers and expert feedback based on your professional engineering experience.
  • Recommend authoritative technical references, engineering standards, and industry resources relevant to your area of expertise.
  • Share insights into real-world mechanical engineering workflows, design practices, manufacturing processes, testing methodologies, and engineering standards.
  • Collaborate with multidisciplinary subject matter experts to improve AI model quality and consistency across technical domains.
  • Identify inaccuracies, ambiguities, and opportunities to enhance AI-generated engineering responses.
Requirements
  • Bachelor's or Master's degree in Mechanical Engineering.
  • Active Professional Engineer (PE) license in the United States.
  • 2+ years of professional mechanical engineering experience, preferably across multiple disciplines such as thermodynamics, HVAC systems, mechanical design, product development, manufacturing, or industrial engineering.
  • Strong familiarity with industry standards and engineering codes, including ASME and other relevant mechanical engineering regulations.
  • Hands-on experience with engineering and simulation software such as SolidWorks, ANSYS, AutoCAD, Creo, CATIA, or similar design and analysis tools.
  • Experience preparing technical specifications, engineering reports, design documentation, or training materials is preferred.
  • Comfortable using modern AI tools such as ChatGPT or similar platforms.
  • Based in the United States.
  • Professional-level English communication skills.
  • Able to consistently commit approximately 10 hours per week.
Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Project duration may be extended, shortened, or concluded based on business needs and performance.
  • Weekly payments are made through Stripe or Wise based on completed work.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.
Equal Opportunity

We are committed to fostering an inclusive environment and consider all qualified applicants without regard to legally protected characteristics. Reasonable accommodations are available throughout the application and engagement process upon request.

Similar Jobs

10 Hours Ago
Remote
United States
70-80 Hourly
Senior level
70-80 Hourly
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
Develop enterprise mechanical engineering evaluation tasks for AI systems in Fortune 500 product design and manufacturing contexts. Create complex design, analysis, manufacturing, reliability, certification, and regulatory scenarios; produce reference designs, engineering analyses, technical narratives, and judgment-focused rubrics. Work across CAD, FEA/CFD, thermal and fluid systems, structural analysis, DFM/DFA, Six Sigma, GD&T, and enterprise PLM tools under ASME and ISO standards.
Top Skills: AnsysAsmeAsme Y14.5CatiaCfdDfssFaaFdaFeaGd&TIsoIso GpsMatlabPtc WindchillSiemens TeamcenterSimulinkSix SigmaSolidworksStripeWise
A Minute Ago
Easy Apply
Remote
United States
Easy Apply
148K-222K Annually
Expert/Leader
148K-222K Annually
Expert/Leader
Fintech • Social Impact • Financial Services
Leads OppFi’s lifecycle and brand marketing strategy across acquisition, retention, repayment, servicing, and collections. Owns omnichannel communications through Braze, lifecycle KPIs, brand standards, creative direction, customer insights, and go-to-market strategy. Manages and mentors lifecycle marketing, design, and marketing technology teams while partnering cross-functionally with Product, Data, Engineering, Operations, Legal, Finance, and executives. Drives experimentation, optimization, customer experience, and responsible marketing within a regulated FinTech environment.
Top Skills: BrazeFigmaJIRAMonday.Com
55 Minutes Ago
Remote or Hybrid
New York City, NY, USA
265K-332K Annually
Senior level
265K-332K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead the Ranking & Relevance team of software and machine-learning engineers. Own retrieval, ranking, recommendation, and personalization systems that match patients with therapists. Drive the transition from filter-based matching to outcome-aware machine learning, establish shared marketplace objectives, improve experimentation and model monitoring, and build evaluation and drift-detection capabilities. Hire and develop engineers, set technical standards, and partner with product, data science, payer, and provider engineering teams in a sensitive healthcare domain.
Top Skills: Ai Coding ToolsFeature PipelinesInformation RetrievalLearning-To-RankMachine LearningOnline ExperimentationPersonalization SystemsRecommendation Systems

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account