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Machine Learning Data Linguist Jobs in Washington, DC

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Aitopics

Data Scientist

Mclean, VA · On-site

$140 - $209/hr

Apache Spark | Azure Machine Learning | Data Governance | Data Quality | Data Visualization * Causal Inference | Data Pipelines | Experimentation | Machine Learning | Model Monitoring * C# ...

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Machine Learning Data Linguist information

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$58.9K

$83.1K

$108.2K

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

As of Sep 4, 2026, the average yearly pay for machine learning data linguist in Washington, DC is $83,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $89,500.00 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 Washington, DC?

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

What job categories do people searching Machine Learning Data Linguist jobs in Washington, DC look for?

The top searched job categories for Machine Learning Data Linguist jobs in Washington, DC are:

Machine Learning Data Linguist jobs near you

Data Scientist - Level 2

Applied Network Solutions Inc.

Annapolis, MD • On-site

$100K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Key responsibilities

  • Design and execute machine learning models and applications, and document analytic results.

  • Create visualizations for client stakeholders based on analytic results.

  • Use programming languages such as Python or R to manipulate and analyze large data sets.

Job description

Who we are:
At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.
What we do:
Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation's toughest challenges and our ability to exceed expectations.
Why ANS:
At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let's ensure today is safe and tomorrow is smarter.
As a Data Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.
Requirements
Requirements:
  • Active TS/SCI clearance with Polygraph
  • A Bachelor's degree and 3 years of relevant experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Desired Qualifications:
  • Working knowledge of Big Data, dataflows, and ML/AI familiarity
  • Working knowledge of Jupyter notebooks
  • Working knowledge of Spark

Responsibilities include, but are not limited to:
  • Working knowledge of statistics, programing and predictive modeling
  • Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
  • Design and implement machine learning, data science and advanced analytical algorithms
  • Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

Benefits:
ANS offers excellent compensation along with a generous benefits package to include:
  • Family Medical, Dental (w/ adult orthodontia) and Vision coverage
  • Pet Discount Program
  • PTO (Paid Time Off)
  • Maternity/ Paternity Leave
  • Supplemental Military Leave Pay
  • 11 Paid Holidays
  • 401(k) plan with 6% Company Contribution
  • Generous Professional Development Program
  • 100% Employer paid Short- and Long-Term Disability
  • 100% Employer paid Life Insurance
  • Supplemental Whole Life Insurance
  • Lucrative Referral Bonus Program
  • Annual Allowance for ANS Swag
  • Potential for Paid Overtime
  • Flexible Work Schedules

Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.
As required by local law, Applied Network Solutions, Inc. provides reasonable salary ranges of compensation for work performed in applicable states. Ranges are not a guarantee of compensation and depend on a variety of factors, including but not limited to contractual requirements, work location, years of experience, skill set, and education. Overtime is not guaranteed for this position.
The anticipated pay range for this position is $100,000.00 - $165,000.00 USD.

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