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Machine Learning Data Linguist Jobs in Maryland (NOW HIRING)

GRVTY

Data Scientist 2

Annapolis Junction, MD

$115K - $145K/yr

We have varying levels of Data Scientist roles, depending on years of experience and education ... This role combines artificial intelligence and machine learning skills with a strong foundation in ...

Independent Software

$110 - $150/hr

Depending on the program, you may work with machine learning, artificial intelligence, predictive analytics, data visualization, workflow automation, or other advanced analytical techniques. This ...

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All JobsMachine Learning Data Linguist JobsMachine Learning Data Linguist Jobs in Maryland

Machine Learning Data Linguist information

See Maryland salary details

$50.5K

$71.2K

$92.7K

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

As of Aug 29, 2026, the average yearly pay for machine learning data linguist in Maryland is $71,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $76,700.00 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 Maryland?

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

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

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

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

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

Machine Learning Data Linguist jobs near you

NLP & AI Applied Machine Learning Engineer

AIToolboard

Bethesda, MD • On-site

$110 - $160/hr

Other

Posted 24 days ago

Job description

Jobs / NLP & AI Applied Machine Learning Engineer

NLP & AI Applied Machine Learning Engineer

Full-time

About the Role

DescriptionThe Government Health and Safety Solutions Operation is on the lookout for a talented Applied Machine Learning Engineer to join our team.This position requires being onsite in Bethesda, MD (with some remote opportunities).ResponsibilitiesDesign, develop, and maintain innovative AI/ML solutions that enhance NIH grant application intake, peer review processes, and analytical insights. Utilize NLP and machine learning techniques (including embeddings, classification, clustering, and similarity analysis) for tasks such as reviewer-application matching and document analysis. Construct, evaluate, and continually improve machine learning models leveraging both structured and unstructured data, including text and images. Design and implement efficient end-to-end ML pipelines encompassing data ingestion, preprocessing, feature generation, model execution, evaluation, and output delivery. Debug, test, and optimize ML pipelines to ensure reliable, consistent, and reproducible outcomes. Refine and enhance code for improved performance, scalability, and maintainability. Work with complex datasets, implementing data validation, quality checks, and preprocessing workflows. Conduct experiments to assess model performance, analyze findings, and adjust strategies based on quantitative and qualitative results. Collaborate with multidisciplinary teams to translate business needs into effective AI/ML solutions. Ensure transparency and reproducibility through meticulous documentation and structured workflows. Communicate technical methods, results, and limitations clearly to both technical and non-technical stakeholders. Keep abreast of advancements in applied AI/ML, particularly in NLP, embeddings, and generative AI, and assess their relevance to NIH projects.Required QualificationsMaster’s degree in data science, Computer Science, Computational Linguistics, or a related field (or equivalent experience). 3-5 years of relevant experience in applied machine learning, data science, or a related field. Strong programming skills in Python (preferred) and/or R. Proven experience delivering comprehensive ML solutions, including model development, evaluation, and pipeline implementation. Hands‑on experience developing and applying machine learning models. Familiarity with NLP techniques such as text classification and semantic similarity. Experience working in cloud or shared computing environments (e.g., Azure, Biowulf). Proficiency in building and maintaining data processing or ML pipelines. Experience cleaning, preprocessing, and engineering features from real‑world datasets. Ability to debug, test, and improve complex code and workflows. Knowledge of at least one modern ML framework (e.g., PyTorch, TensorFlow, scikit‑learn). Strong analytical capabilities and problem‑solving skills. Excellent communication skills for conveying technical concepts to diverse audiences.Preferred QualificationsExperience with transformer models or large language models in text analysis or document processing. Familiarity with reviewer matching, recommendation systems, or document similarity challenges. Knowledge of distributed data processing tools (e.g., Spark, Dask). Experience with experiment tracking and reproducible workflows (e.g., MLflow). Familiarity with NIH data systems or scientific research datasets. Experience with medical or scientific imaging and AI model evaluation. Understanding of evaluation metrics (e.g., accuracy, precision, recall) and model robustness.If you’re seeking a dynamic role where you can make an impact, we want to hear from you! At Leidos, we value innovation and strive to push boundaries in mission‑focused initiatives.

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