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Remote Machine Learning Quant Jobs in Kansas City, MO

Epiq

Senior Director of Product Development

Overland Park, KS · On-site +1

$230K - $241K/yr

Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows ... LI-Remote The Compensation range for this role is 230,000 to 270,000 USD annually and may be ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

Support AI and machine learning initiatives through data preparation and feature engineering ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

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All JobsMachine Learning Quant JobsRemote Machine Learning Quant JobsRemote Machine Learning Quant Jobs in Kansas City, MO

Remote Machine Learning Quant information

See Kansas City, MO salary details

$10.7K

$126.5K

$193.2K

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

As of Aug 10, 2026, the average yearly pay for remote machine learning quant in Kansas City, MO is $126,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $135,200.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Machine Learning Quant jobs in Kansas City, MO? For Remote Machine Learning Quant jobs in Kansas City, MO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in Kansas City, MO look for? The top searched job categories for Remote Machine Learning Quant jobs in Kansas City, MO are:
What cities near Kansas City, MO are hiring for Remote Machine Learning Quant jobs? Cities near Kansas City, MO with the most Remote Machine Learning Quant job openings:
Remote Machine Learning Quant jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Kansas City, KS • Remote

$70 - $90/hr

Part-time

Posted 12 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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