Machine learning engineer • cedar rapids ia
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
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Role Overview** - Mercor is seeking senior data science and analytics professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise data and analytics contexts.The work... Show more
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MMR Project Engineer - based in Cedar Rapids, IA Location:.Cedar Rapids, IA Pay: $50/hour Per Diem: $900/week Work Schedule: 6/10s Company Culture:   At MMR, our most valuable assets are not o... Show more
Systems Engineer</u></b></p> <p><b>PLEASE NOTE:</b><br /> ***Ideally looking for a <b>SYSTEMS Engineer</b> (<b><u>NOT</u><... Show more
Job Description Require Education: High School or equivalent Preferred Education: Bachelor's degree in engineering, Quality Assurance, or a related field.Required Experience: Experience supporting ... Show more
United States of America

.US-IA-CEDAR RAPIDS-106 ~ 400 Collins Rd NE ~ BLDG 106

.Person, or Immigration Status Requirements:.Active and existing security clearance required on day... Show more
About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac... Show more
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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
The average salary range is between $ 131,250 and $ 240,706 year , with the average salary hovering around $ 198,100 year .
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Job Title: Mechanical Engineer
Job Type: Contractor
Location: Remote
Rate: 20$-50$ per task
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
• Analyze technical documents and extract key information relevant to your domain expertise
• Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios
• Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis
• Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness
• Apply advanced subject matter knowledge to evaluate and solve complex engineering problems
• Work independently, managing your time to deliver high-quality outputs with minimal supervision
• Contribute to the continuous improvement of data quality and project processes
Required Skills and Qualifications:
• 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia)
• Strong reading comprehension skills, with proven ability to analyze and interpret technical documents
• Exceptional English communication skills, both written and verbal
• Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets
• Ability to work independently and efficiently, with excellent self-management
• High attention to detail and commitment to data accuracy
• Experience interfacing with technical documentation and performing analytical tasks
Preferred Qualifications:
• Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology
• Previous experience contributing to interdisciplinary or research-driven projects
• Familiarity with data-driven analysis or training data preparation
