Devops engineer • stamford ct
AI labs & Enterprises train foundational models and agents.We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to ... Show more
AI labs & Enterprises train foundational models and agents.We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to ... Show more
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The Aquarion Water Authority (AWA) is a locally governed, not-for-profit water authority providing water service to more than 735,000 people in 60 municipalities across Connecticut.Based in Bridgep... Show more
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The Middlesex Corporation is a nationally recognized and award-winning leader in the heavy civil construction industry.Since 1972, the family business founded by Robert W.Pereira has developed an e... Show more
Requirements</b></div> <ul> <li> <div><b>5+ years experience in Identity & Access Management, tenant-to-tenant migrations, and enterprise identity integratio... Show more
Delivery Management Engineer III- AI & Engineering.Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' suc... Show more
Job description: Description*NO CONSULTANTS OR CONTRACTORS NEED TO APPLY (Only FTE Employees)* *This is a hybrid role (3 days in the office/2 days remote).About your team:* Our Client is seeking a... Show more
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AI labs & Enterprises train foundational models and agents.We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to ... Show more
This is at least a 2 year assignment.Packaging engineer candidates for supporting Dial Professional: 5-10yrs packaging experience.Blow molding and injecting molding experience preferred.Hybrid (Up ... Show more
Deloitte is seeking a Lead Data Engineer– Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries.In this role, you will help team... Show more
The average salary range is between $ 136,500 and $ 190,000 year , with the average salary hovering around $ 156,000 year .
The average salary range is between $ 109,997 and $ 165,000 year , with the average salary hovering around $ 129,990 year .
mechanical engineering
technical document analysis
problem-solving
written and verbal communication
data analysis
attention to detail
self-management
interdisciplinary collaboration
technical content creation
data quality assurance
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
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
