
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $60 - $90 / hour
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑🔧 Mechanical Engineer
👻 Ghost score 20%
Where this job comes from
Posted on Weekday (YC W21)'s careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
• Evaluate mechanical engineering tasks and AI-generated solutions for incorrect assumptions, missing constraints, unit and tolerance errors, unsafe design decisions, and technically unsound recommendations • Develop technical instructions and detailed reference solutions • Design engineering tasks reflecting real-world industry practices and problem-solving requirements • Build engineering benchmarks and evaluation datasets across mechanical design, thermal and fluid systems, structural and stress analysis, manufacturing engineering, and control systems • Validate AI-generated solutions against engineering requirements, design constraints, safety considerations, and applicable industry standards • Provide structured written feedback to improve AI model accuracy, consistency, and practical relevance • Collaborate with AI researchers and adjacent subject-matter experts to establish evaluation standards • Translate practical engineering judgment into measurable evaluation criteria
• 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: 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, including component or system design, FEA or CFD analysis, engineering drawings and specifications, design reviews, product testing, validation, and production • Proficiency with SolidWorks, CATIA, Siemens NX, Creo, AutoCAD, ANSYS, Abaqus, or MATLAB • Familiarity with ASME, ASTM, ISO, and GD&T according to ASME Y14.5 • Clear career progression toward senior or lead engineering responsibilities • Practical professional experience using large language models (LLMs) • Ability to distinguish technically sound AI-generated responses from plausible but incorrect solutions • Excellent written communication skills and ability to provide clear, detailed, well-structured technical feedback • Ability to commit reliably to 40 hours per week for the initial engagement period
• Client-issued accounts and equipment provided • Strong possibility of extension based on performance and project requirements • Full-time W-2 employment
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