Which cities near Stamford, CT have the most devops engineer job openings?

The cities near Stamford, CT that boast the highest number of devops engineer jobs are: Elizabeth Bridgeport Paterson Yonkers Jersey City Newark New York Waterbury

Which cities near Stamford, CT have the most job openings?

The 10 cities near Stamford, CT that have the most job openings are: New Haven Elizabeth Bridgeport Paterson Yonkers Jersey City Newark New York Waterbury Norwalk

What are the most popular job searches in Stamford, CT?

The 10 most popular job searches in Stamford, CT are: amazon work from home psychiatric tech psychiatric technician online government data entry clerk virtual assistant data entry weekend

What are the highest-paying jobs in Stamford, CT?

The highest-paying jobs are: corporate strategy ( from $ 160,000 to $ 239,300 year ) solutions architect ( from $ 107,500 to $ 237,500 year ) programming ( from $ 146,419 to $ 229,550 year ) operations engineer ( from $ 113,588 to $ 225,000 year ) cloud architect ( from $ 177,500 to $ 221,500 year ) machine learning engineer ( from $ 94,672 to $ 216,300 year ) software architect ( from $ 130,000 to $ 215,000 year ) teaching ( from $ 55,000 to $ 214,500 year ) hospital ( from $ 69,250 to $ 211,000 year )

Which cities in the United States of America offer the highest salaries for devops engineer jobs?

The top 10 cities are: Billings, MT ( from $ 120,850 to $ 208,114 year ) Beaumont, TX ( from $ 141,375 to $ 205,592 year ) Chula Vista, CA ( from $ 135,000 to $ 195,000 year ) Warren, MI ( from $ 100,880 to $ 193,800 year ) Santa Ana, CA ( from $ 130,000 to $ 193,725 year ) Santa Maria, CA ( from $ 130,000 to $ 193,710 year ) Santa Clarita, CA ( from $ 130,000 to $ 193,643 year ) Santa Rosa, CA ( from $ 130,000 to $ 193,314 year ) Joliet, IL ( from $ 162,513 to $ 192,208 year ) Palm Bay, FL ( from $ 128,688 to $ 190,044 year )

Devops engineer Jobs in Stamford, CT

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Devops engineer • stamford ct

Last updated: 13 hours ago

Remote Mechanical Engineer

Micro1Riverside, Connecticut, US

Remote

Full-time

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

Remote Mechanical Engineer

Micro1Port Chester, New York, US

Remote

Full-time

Remote PhD Engineer (Electrical, Mechanical, Chemical)

Micro1Norwalk, Connecticut, US

$80.00 hourly

Remote

Full-time

PhD Engineer (Electrical, Mechanical, Chemical).Data Analysis & Interpretation.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter ... Show more

Remote PhD Engineer (Electrical, Mechanical, Chemical)

Micro1Port Chester, New York, US

$80.00 hourly

Remote

Full-time

Remote Frontend Software Engineer

Micro1Rye Brook, New York, US

Micro1Stamford, Connecticut, US

Remote

Full-time

Remote PhD Engineer (Electrical, Mechanical, Chemical)

Micro1Stamford, Connecticut, US

$80.00 hourly

Remote

Full-time

Remote Azure DevOps Engineer

Micro1Norwalk, Connecticut, US

$160,000.00 yearly

Remote

Full-time

Remote PhD Engineer (Electrical, Mechanical, Chemical)

Micro1Rye Brook, New York, US

$80.00 hourly

Remote

Full-time

Remote Mechanical Engineer

Micro1Riverside, Connecticut, US

30+ days ago

Job type

Full-time

Remote

Job description

Mechanical Engineer

Required Skills

mechanical engineeringtechnical document analysisproblem-solvingwritten and verbal communicationdata analysisattention to detailself-managementinterdisciplinary collaborationtechnical content creationdata quality assurance

About micro1

micro1 is the leading 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. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

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