Which cities near Warren, MI have the most computer security job openings?

The cities near Warren, MI that boast the highest number of computer security jobs are: Ann Arbor Sterling Heights Akron Grand Rapids Toledo Cleveland Detroit Lansing Dearborn

Which cities near Warren, MI have the most job openings?

The 10 cities near Warren, MI that have the most job openings are: Ann Arbor Sterling Heights Akron Grand Rapids Toledo Cleveland Detroit Lansing Dearborn Livonia

What are the most popular job searches in Warren, MI?

The 10 most popular job searches in Warren, MI are: work from home amazon warehouse gm government data entry clerk online data entry customer care amazon flex

What are the highest-paying jobs in Warren, MI?

The highest-paying jobs are: clinical research ( from $ 80,000 to $ 245,000 year ) government ( from $ 65,000 to $ 220,000 year ) software development manager ( from $ 136,500 to $ 208,500 year ) clinical psychologist ( from $ 110,000 to $ 195,000 year ) electrician helper ( from $ 40,463 to $ 195,000 year ) software engineering manager ( from $ 157,163 to $ 194,850 year ) devops engineer ( from $ 100,880 to $ 193,800 year ) project management ( from $ 80,000 to $ 189,394 year ) business development director ( from $ 111,875 to $ 180,000 year ) environmental engineer ( from $ 60,577 to $ 178,315 year )

Which cities in the United States of America offer the highest salaries for computer security jobs?

The top 10 cities are: Lee's Summit, MO ( from $ 100,000 to $ 234,900 year ) Sioux Falls, SD ( from $ 135,000 to $ 216,200 year ) Saint Paul, MN ( from $ 100,000 to $ 203,040 year ) Springfield, MA ( from $ 125,550 to $ 202,500 year ) Springfield, MO ( from $ 125,550 to $ 202,500 year ) Sterling Heights, MI ( from $ 60,500 to $ 192,000 year ) Alexandria, VA ( from $ 118,079 to $ 184,415 year ) High Point, NC ( from $ 90,367 to $ 182,795 year ) Dallas, TX ( from $ 80,475 to $ 180,000 year ) Garland, TX ( from $ 120,000 to $ 180,000 year )

Computer security Jobs in Warren, MI

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Computer security • warren mi

Last updated: 12 hours ago

Remote Computer Science Expert (PhD)

Micro1Warren, Michigan, US

$80.00 hourly

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 Computer Science Expert (PhD)

Micro1Clawson, Michigan, US

$80.00 hourly

Remote

Full-time

Micro1Hazel Park, Michigan, US

$80.00 hourly

Remote

Full-time

Facility Security Officer

DCS CorporationSterling Heights, MI, US

Full-time

Support day-to-day activities involving industrial security and contract management.Essential Job Functions: Daily use of personnel clearance data systems – DISS/NBIS and E-qip and other security s... Show more

Remote Computer Science Expert (PhD)

Micro1Center Line, Michigan, US

$80.00 hourly

Remote

Micro1Warren, Michigan, US

12 hours ago

Salary

$80.00 hourly

Job type

Full-time

Remote

Job description

Computer Science Expert (PhD)$80 - $90/hourpay

Required Skills

Computer SciencePhDPythonData Science

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.

Role Title: Computer Science Expert (PhD)

Role Type: Contractor

Location: Remote

micro1 is engaging Computer Science Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. 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.

Scope of Work

Produce authoritative, accurate, and well-explained responses to advanced computer science queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
Review and evaluate computer science data, questions, and solutions to guarantee accuracy, completeness, and current best-practice alignment.
Develop comprehensive explanations and justifications across a wide array of computer science concepts, spanning foundational and specialized areas of the field.
Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
Create exemplary "golden responses" that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
Document context and rationale behind answers to assist model interpretability and future annotation efforts.
Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.

Preferred Qualifications

PhD in Computer Science or a closely related field with robust expertise in both foundational and advanced topics.
Proven ability to communicate intricate computer science concepts with precision in both written and verbal forms.
Experience in developing, reviewing, or publishing scientific, technical, or educational computer science materials (such as research articles, curricula, industry reports, or peer reviews).
Familiarity with multiple sub-disciplines within computer science (algorithms and theory, systems, artificial intelligence and machine learning, databases, computer networks, security, etc.) and the ability to adapt explanations for diverse audiences.
Exceptional attention to detail with a commitment to analytical accuracy and methodological rigor.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
Strong collaboration skills, particularly in remote or cross-functional environments.