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Machine Learning Data Linguist Jobs in O Fallon, MO

Senior Data Scientist

Saint Louis, MO · On-site

$90 - $120/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Showing results 1-20

Machine Learning Data Linguist information

See O Fallon, MO salary details

$48.6K

$68.6K

$89.3K

How much do machine learning data linguist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for machine learning data linguist in O Fallon, MO is $68,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $73,900.00 per year, depending on experience, location, and employer.

What is a machine learning data linguist?

A Machine Learning Data Linguist is a specialist who works at the intersection of linguistics and artificial intelligence. They are responsible for annotating, curating, and analyzing language data to train and improve machine learning models, especially those focused on natural language processing (NLP). Their work often includes tasks like labeling text, refining speech recognition data, and ensuring that language models understand context, grammar, and cultural nuances. This role is essential in developing accurate and inclusive AI systems that interact with human language.

How does a machine learning data linguist typically collaborate with engineers and data scientists on projects?

A Machine Learning Data Linguist works closely with engineers and data scientists by providing linguistic insights and ensuring that language data is accurately annotated and interpreted. They often participate in cross-functional meetings to define project goals, clarify annotation guidelines, and review model outputs for linguistic quality. This collaboration helps bridge the gap between technical development and language-specific nuances, leading to more effective and culturally accurate machine learning models. Effective communication and a strong understanding of both linguistic theory and technical requirements are vital in this collaborative environment.

What are the key skills and qualifications needed to thrive as a machine learning data linguist, and why are they important?

To thrive as a Machine Learning Data Linguist, you need expertise in linguistics, data annotation, and a strong understanding of language structures, often supported by a degree in linguistics or computational linguistics. Familiarity with annotation tools, data labeling platforms, and programming languages like Python is typically required. Strong attention to detail, analytical thinking, and clear communication are essential soft skills for accurately interpreting and conveying linguistic phenomena. These skills ensure high-quality language data, which is critical for developing effective and unbiased machine learning models.

What job categories do people searching Machine Learning Data Linguist jobs in O Fallon, MO look for?

The top searched job categories for Machine Learning Data Linguist jobs in O Fallon, MO are:

What cities near O Fallon, MO are hiring for Machine Learning Data Linguist jobs?

Cities near O Fallon, MO with the most Machine Learning Data Linguist job openings:

Infographic showing various Machine Learning Data Linguist job openings in O Fallon, MO as of June 2026, with employment types broken down into 56% Full Time, 33% Contract, and 11% Nights. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $68,639 per year, or $33 per hour.

Machine Learning Engineer 727

(EDO) Entertainment Data Oracle, Inc.

Saint Louis, MO • On-site

$120 - $170/hr

Other

Medical, Life, Retirement, PTO

Posted 18 days ago


Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.

This is a hands‑on engineering position focused on moving models from research into reliable production systems.

Responsibilities
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned
Key Technologies
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • MLflow
  • Docker/Podman
  • ECS
  • Lambda
  • SageMaker
Required Qualifications
  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3 (Junior), 3–7 (Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non‑technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking
Desired Qualifications
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity with secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts
What’s in It for You?

Flexible work environment

A team mentality – work with friendly, like‑minded professionals

Work with innovative, cutting edge technologies

Enjoy extremely competitive compensation and benefits

A work‑life balance you can count on

Opportunities to grow and advance your career on our dime

The Benefits You Get with Freedom

Amazing benefits including matching 401k, fully paid medical, and more

Generous paid time off – including paid site closure days

Competitive salary offerings

Paid training and tuition reimbursement

Fully paid life and disability

Company sponsored events (game nights, holiday party, summer party, happy hours)

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status.

Phone: 410-290-9035

Equal Opportunity Employer, including disabled and veterans.

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