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Remote Machine Learning Finance Jobs in North Carolina

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

FP&A Analyst

Charlotte, NC · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... This role is a good fit for someone early in their finance career who is detail-oriented, works ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0239248 Location: Fayetteville,NC,US Share job via: Share Data ... Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ...

The firm's core areas of practice include corporate, financial markets and funds, restructuring ... or remote (distance learning) training. * Coordinate with office administrators, human resources ...

Finance Manager - Lowes

Charlotte, NC · Remote

$77K - $124K/yr

Finance Manager - Lowes - Hybrid/Remote Towson, MD, USA New Britain, CT, USA Charlotte, NC, USA ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

Required experience • 5+ years of experience of building AI and/or machine learning models for ... As always, however, we are also open to providing sensible remote options to talent outside of the ...

Required experience 5+ years of experience of building AI and/or machine learning models for ... As always, however, we are also open to providing sensible remote options to talent outside of the ...

Showing results 21-40

Remote Machine Learning Finance information

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What are the most commonly searched types of Machine Learning Finance jobs in North Carolina?

The most popular types of Machine Learning Finance jobs in North Carolina are:

What are popular job titles related to Remote Machine Learning Finance jobs in North Carolina?

For Remote Machine Learning Finance jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Finance jobs in North Carolina look for?

The top searched job categories for Remote Machine Learning Finance jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Machine Learning Finance jobs?

Cities in North Carolina with the most Remote Machine Learning Finance job openings:

Medical Microbiology Consultant - Remote

micro1 AI

High Point, NC • Remote

$70 - $90/hr

Part-time

This job post has expired today. 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.