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Remote Machine Learning Finance Jobs in Mobile, AL

micro1 AI

AI Trainer - Microbiology Expert

Mobile, AL · Remote

$70 - $90/hr

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.

Johnson Controls

High Level Engineer - Controls

Mobile, AL · On-site +1

$82K - $107K/yr

This position is REMOTE and can be located anywhere within the US. How you will do it Under general ... Assists in technical or financial benchmarking as needed. Consults with sales and operations team ...

All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Mobile, AL

Remote Machine Learning Finance information

See Mobile, AL salary details

$24.8K

$91.9K

$134.5K

How much do remote machine learning finance jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote machine learning finance in Mobile, AL is $91,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $108,200.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Machine Learning Finance jobs in Mobile, AL?

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

What job categories do people searching Remote Machine Learning Finance jobs in Mobile, AL look for?

The top searched job categories for Remote Machine Learning Finance jobs in Mobile, AL are:

What cities near Mobile, AL are hiring for Remote Machine Learning Finance jobs?

Cities near Mobile, AL with the most Remote Machine Learning Finance job openings:

Remote Machine Learning Finance jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Mobile, AL • Remote

$70 - $90/hr

Part-time

Posted 23 days ago

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.

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