ZipRecruiter

Log In

1

Language Model Jobs in Laurel, MD (NOW HIRING)

kgs

Perplexity/AI Integration Lead

Washington, DC · On-site +1

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

kgs

Perplexity/AI Integration Lead

Washington, DC · On-site +1

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

Koniag, Inc.

Perplexity/AI Integration Lead

Washington, DC · On-site

$250K - $350K/yr

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

ECS

AI-Focused Red Team/Blue Team Operator

Washington, DC · On-site

$160K - $205K/yr

Fine-tuning and evaluation of security-tuned language models Core Technical Foundations * Secure use of AI coding assistants and code-review for AI-generated output Certifications / Training ...

Aston Carter

Controller

Baltimore, MD · On-site

$125/hr

Use AI and large language model tools at a user level to test, review, and iterate on accounting and finance outputs. Essential Skills * Approximately 7+ years of substantive accounting experience ...

previous pagenext page

Showing results 21-40

All JobsLanguage Model JobsLanguage Model Jobs in Laurel, MD

Language Model information

See Laurel, MD salary details

$10

$31

$66

How much do language model jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for language model in Laurel, MD is $31.10, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $38.85 per hour, depending on experience, location, and employer.

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are popular job titles related to Language Model jobs in Laurel, MD?

For Language Model jobs in Laurel, MD, the most frequently searched job titles are:

What cities near Laurel, MD are hiring for Language Model jobs?

Cities near Laurel, MD with the most Language Model job openings:

Language Model jobs near you
Infographic showing various Language Model job openings in Laurel, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,689 per year, or $31.1 per hour.

ME00571-Data Scientist 3

Momentum Engineering, Inc

Fort George G Meade, MD • On-site

$135 - $180/hr

Other

Medical, Dental, Vision, Life, PTO

Re-posted 6 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long‑term stability and expertise for our customers’ critical needs.

Job Summary
  • Seeking a Data Scientist to support the development of advanced artificial intelligence solutions focused on natural language processing (NLP) and large language model (LLM) integration within an agentic AI framework (e.g., LangGraph)
  • This role is responsible for designing, training, and validating machine learning models that extract knowledge from complex, unstructured, multilingual data sources without reliance on predefined ontologies
  • The position requires strong expertise in data preparation, model development, and ensuring compliance with enterprise data policies to deliver production‑ready AI capabilities
Primary Responsibilities
  • Design, develop, and train NLP and Named Entity Recognition (NER) models for integration with LLM‑based and agentic AI frameworks (e.g., LangGraph)
  • Perform supervised and unsupervised machine learning model development, training, and validation for automated knowledge extraction
  • Process and analyze unstructured natural language data across multiple languages, enabling scalable and adaptive data understanding without predefined ontologies
  • Develop pipelines to support data ingestion, preprocessing, and transformation for model training and inference
  • Ensure data quality, consistency, and readiness for integration into production AI systems
  • Apply data retrieval and enrichment techniques to support training datasets from diverse enterprise data sources
  • Evaluate model performance and refine algorithms to improve accuracy, scalability, and robustness
  • Collaborate with engineering and product teams to integrate models into operational systems
  • Ensure adherence to enterprise data governance, compliance, and security policies in all AI solutions
  • Document methodologies, model performance, and data processes to support transparency and reproducibility
Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience developing and training NLP/NER models and working with large language models (LLMs)
  • Strong background in machine learning, including supervised and unsupervised techniques
  • Experience working with unstructured and multilingual data
  • Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, or similar)
  • Experience with data preprocessing, feature engineering, and data pipeline development
  • Understanding of data quality management and data readiness for production systems
  • Familiarity with agentic AI frameworks (e.g., LangGraph) or similar orchestration frameworks
  • Strong analytical, problem‑solving, and communication skills
Desired Qualifications
  • No desired skills listed at this time

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

The pay range for this role is:

135,000 - 180,000 USD per year (Ft. Meade MD)

#J-18808-Ljbffr

Apply