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Remote Machine Learning Jobs in Royal Oak, MI (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

DBSL, Digital (U.S.A. Remote with 50% Travel)

Detroit, MI · On-site +1

$115K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position will be fully remote . In this role, you will have the opportunity to: * Apply DBS ... Experience leveraging Artificial Intelligence, machine learning, advanced analytics, automation ...

AI Product Specialist

Birmingham, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

AI Engineer

Birmingham, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Senior Consultant - AI Strategist (remote)

Detroit, MI · On-site +1

$113K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong understanding of key AI concepts and technologies (e.g., LLMs, GenAI, machine learning, automation) * Experience translating technical capabilities into business-relevant strategies and ...

Senior Consultant - AI Strategist (remote)

Detroit, MI · On-site +1

$113K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong understanding of key AI concepts and technologies (e.g., LLMs, GenAI, machine learning, automation) * Experience translating technical capabilities into business-relevant strategies and ...

Analytics Scientist

Dearborn, MI · On-site +1

$130K - $169K/yr

  • Medical

  • Dental

  • Life

  • PTO

... Machine Learning Model Development to support business decisions in credit risk analysis. We are offering a salary of $130,880.52 - $169,537.56/yr. You may not check every box, or your experience may ...

Showing results 21-40

Remote Machine Learning information

See Royal Oak, MI salary details

$23.8K

$39.8K

$82.2K

How much do remote machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote machine learning in Royal Oak, MI is $39,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.

What are popular job titles related to Remote Machine Learning jobs in Royal Oak, MI?

For Remote Machine Learning jobs in Royal Oak, MI, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Royal Oak, MI look for?

The top searched job categories for Remote Machine Learning jobs in Royal Oak, MI are:

What cities near Royal Oak, MI are hiring for Remote Machine Learning jobs?

Cities near Royal Oak, MI with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Royal Oak, MI as of August 2026, with employment types broken down into 15% Internship, 43% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $39,789 per year, or $19.1 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Warren, MI • Remote

$70 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. 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:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.