Validation engineer • everett wa
Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th... Show more
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Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th... Show more
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Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th... Show more
Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th... Show more
Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th... Show more
Plan and implement test systems as needed for new product introductions.Support, maintain, and improve test systems throughout the factory.Drive internal and external quality improvements using roo... Show more
The average salary range is between $ 85,008 and $ 146,340 year , with the average salary hovering around $ 104,994 year .
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
