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Machine Learning Data Linguist Jobs in Georgia (NOW HIRING)

DigiFlight, Inc.

Data Scientist

Augusta, GA · On-site

Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

Digiflight

Data Scientist

Augusta, GA · On-site

Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

Athena Technology Group, Inc. (ATG)

The selected candidate will develop and deploy machine learning models, process large-scale structured and unstructured data, and provide actionable insights to support mission-critical operations.

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

As of Sep 9, 2026, the average yearly pay for machine learning data linguist in Georgia is $61,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $66,700.00 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 are popular job titles related to Machine Learning Data Linguist jobs in Georgia?

For Machine Learning Data Linguist jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Data Linguist jobs in Georgia look for?

The top searched job categories for Machine Learning Data Linguist jobs in Georgia are:

What cities in Georgia are hiring for Machine Learning Data Linguist jobs?

Cities in Georgia with the most Machine Learning Data Linguist job openings:

Machine Learning Data Linguist jobs near you
Infographic showing various Machine Learning Data Linguist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,954 per year, or $29.8 per hour.

Data Scientist

Augusta, GA • On-site

DigiFlight, Inc.
IT Services • 51 - 200 employees
Learn more about DigiFlight, Inc.external

Other

Medical, Dental, Vision, Life, PTO

Posted 22 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Scientist

Augusta, GA, Augusta, GA, US

3 days ago Requisition ID: 2842

Data Scientist Level 2- TS/SCI Fullscope Poly

Augusta, GA

Join an outstanding team that offers exciting job opportunities with the goal of providing the absolute best support to our customers. Here at DigiFlight we embrace integrity, innovative solutions, put our customers first and offer a highly competitive benefits package!

Description: Employ some combination (2 or more) of the following skill areas:

I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)

3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Education: Bachelor's Degree with 3 years of relevant experience. Associate's degree with 5 years of relevant experience. Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count.

Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Relevant Experience: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

Our People

DigiFlight attracts the most highly skilled workforce to protect some of our nation’s most sensitive systems. Before joining the company, many DigiFlight professionals served our country in a civilian and/or military capacity. Our diverse team provides innovative solutions as they support critical clients in tackling tough challenges. Most importantly, our team is passionate about their work and making a difference.

Our corporate culture promotes a healthy work/life balance.

DigiFlight’s competitive benefits package allows employees to manage their personal and professional portfolios through a variety of features and programs. Our benefits include:

  • Health, Dental, Vision, and Flexible Spending Account
  • Paid Time Off (PTO)
  • 11 paid holidays
  • Tuition Education Assistance
  • Professional Development
  • Life insurance and short- and long-term disability insurance
  • Employee Referral Program
  • Marketing Incentive Plans

DFI offers a highly competitive, family-oriented benefits package.

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