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Remote Machine Learning Quant Jobs in Georgia (NOW HIRING)

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products. This role involves ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

... machine learning algorithms High proficiency in the use of statistical packages Proficiency in ... quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization ...

Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems ... Experience working with remote and global teams * Results driven with a positive can-do attitude ...

Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems ... Experience working with remote and global teams * Results driven with a positive can-do attitude ...

S. locations in a remote capacity. Reports to: Chief Technology Officer As the VP of Data Strategy ... AI & Machine Learning * Build and scale the organization's AI/ML capabilities, including ...

Showing results 21-40

Remote Machine Learning Quant information

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

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Machine Learning Quant jobs in Georgia?

The most popular types of Machine Learning Quant jobs in Georgia are:

What cities in Georgia are hiring for Remote Machine Learning Quant jobs?

Cities in Georgia with the most Remote Machine Learning Quant job openings:

Infographic showing various Remote Machine Learning Quant job openings in Georgia as of August 2026, with employment types broken down into 5% Internship, 59% Full Time, 13% Part Time, and 23% Contract. Highlights an 100% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Athens, GA • Remote

$70 - $90/hr

Part-time

Posted 21 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.