Mechanical Engineer

Posted Yesterday
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2 Locations
Remote
20-50 Hourly
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Provide mechanical engineering domain expertise to create and review technical content used to train AI systems: review documents, develop and assess questions/solutions, give written and oral feedback, collaborate cross-functionally, resolve complex engineering problems, and improve data quality while working independently.
Summary Generated by Built In

This role is for one of our clients

$20 - $50/per task

Job Title: Mechanical Engineer

Job Type: Contractor

Location: Remote

In this position, you will utilize your expertise to assist in training the next generation of AI systems. Your contributions will influence how models acquire knowledge, reason, and operate by providing high-quality, real-world data. No previous AI experience is necessary—your domain expertise is what counts.


Requirements

Key Responsibilities:

• Review technical documents and identify essential information within your area of expertise

• Develop, assess, and enhance questions and solutions based on practical mechanical engineering situations

• Collaborate with cross-functional teams to ensure the precision and comprehensiveness of data and analyses

• Provide comprehensive written and oral feedback regarding document clarity, technical correctness, and overall effectiveness

• Utilize advanced subject matter expertise to assess and resolve complex engineering challenges

• Operate independently, effectively managing your time to produce high-quality results with limited supervision

• Participate in ongoing efforts to improve data quality and project workflows

Required Skills and Qualifications:

• 2-6 years of professional or academic experience in mechanical engineering or a related discipline (whether in a lab, industrial setting, or academia)

• Strong ability to comprehend, analyze, and interpret technical documents

• Excellent command of English communication skills, both written and spoken

• Proven track record of creating or evaluating technical content such as reports, research papers, or problem sets

• Capable of working independently and efficiently, demonstrating excellent self-management skills

• Meticulous attention to detail with a strong dedication to data accuracy

• Experience engaging with technical documentation and performing analytical activities

Preferred Qualifications:

• Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology

• Prior experience contributing to interdisciplinary or research-focused projects

• Knowledge of data-driven analysis or experience in preparing training datasets

Skills Required

  • 2-6 years of professional or academic experience in mechanical engineering or a related discipline
  • Strong ability to comprehend, analyze, and interpret technical documents
  • Excellent command of English communication skills, both written and spoken
  • Proven track record of creating or evaluating technical content such as reports, research papers, or problem sets
  • Capable of working independently and efficiently with strong self-management
  • Meticulous attention to detail and dedication to data accuracy
  • Experience engaging with technical documentation and performing analytical activities
  • Advanced degree (Master's or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology
  • Prior experience contributing to interdisciplinary or research-focused projects
  • Knowledge of data-driven analysis or experience in preparing training datasets
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The Company
0 Employees
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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