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Temporary Large Language Model Llm Jobs in Alabama

DESE Research, Inc.

Full Stack Developer

Huntsville, AL · On-site

$90 - $130/hr

This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using retrieval-augmented ...

DESE Research, Inc.

Full Stack Developer

Huntsville, AL · On-site

This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using retrieval-augmented ...

DESE Research, Inc.

Full Stack Developer

Huntsville, AL · On-site

This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using retrieval-augmented ...

DESE Research

Full Stack Developer

Huntsville, AL · On-site

This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using retrieval-augmented ...

Tactica Solutions

AI Integration Analyst

Huntsville, AL · On-site

$120K - $135K/yr

The ideal candidate will have a strong background in leveraging AI and large language models (LLM) to transform complex legacy processes into modern, automated, and secure agentic workflows for ...

New

Tactica Solutions

AI Integration Analyst

Huntsville, AL · On-site

$120 - $135/hr

The ideal candidate will have a strong background in leveraging AI and large language models (LLM) to transform complex legacy processes into modern, automated, and secure agentic workflows for ...

New

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Temporary Large Language Model Llm information

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What are the most commonly searched types of Large Language Model Llm jobs in Alabama?

The most popular types of Large Language Model Llm jobs in Alabama are:

What are popular job titles related to Temporary Large Language Model Llm jobs in Alabama?

For Temporary Large Language Model Llm jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Temporary Large Language Model Llm jobs in Alabama look for?

The top searched job categories for Temporary Large Language Model Llm jobs in Alabama are:

Temporary Large Language Model Llm jobs near you
Infographic showing various Temporary Large Language Model Llm job openings in Alabama as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

DATA SCIENTIST (CYBER/CLOUD)

Quantum Research International Inc

Huntsville, AL • On-site

Full-time

Re-posted 14 days ago

Key responsibilities

  • Support the formulation, design, and execution of data-driven projects focused on cybersecurity risk prioritization, vulnerability analysis, exposure trends, anomaly detection, and automated risk reporting.

  • Develop, fine-tune, and assist in deploying AI/ML models and LLM-based solutions for natural language understanding, summarization, and insight generation from unstructured data sources.

  • Help integrate model outputs into data pipelines, dashboards, and visualization tools to deliver insights for technical and non-technical stakeholders.

Job description





Job Description
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English (US)


Job Posting TitleDATA SCIENTIST (CYBER/CLOUD)
Job Description

Overview:

Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications.   Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally.  We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters.  In addition to our corporate office, we have physical locations in Aberdeen, MD; Colorado Springs, CO; Crestview, FL, Orlando, FL, and Tupelo, MS


Mission:

Quantum Research Int is seeking a motivated Mid-Level (or Junior) Data Scientist to support advanced AI/ML and large language model (LLM) initiatives within a cybersecurity and risk analysis platform. You will contribute to the development, deployment, and integration of predictive models and LLM-based solutions to process structured and unstructured data (including SBOMs, CVEs, vulnerability data, and critical program information), generate actionable insights, and support data-informed decision making in a high-stakes defense environment.     


Responsibilities: 

  • Support the formulation, design, and execution of data-driven projects focused on cybersecurity risk prioritization, vulnerability analysis, exposure trends, anomaly detection, and automated risk reporting.
  • Develop, fine-tune, and assist in deploying AI/ML models and LLM-based solutions (e.g., for natural language understanding, summarization, and insight generation from unstructured sources such as SBOMs and technical documentation).
  • Help integrate model outputs into data pipelines, dashboards, and visualization tools to deliver clear insights for technical and non-technical stakeholders.
  • Collaborate with data analysts, software developers, and cross-functional teams to embed predictive analytics and LLM capabilities into existing platforms.
  • Clean, collate, and preprocess complex datasets from multiple sources; assess and improve data quality.
  • Apply statistical methods, machine learning algorithms, and LLM techniques to extract actionable insights under guidance.
  • Perform model validation, performance monitoring, and testing.
  • Optimize models for accuracy, scalability, and usability.
  • Produce and present reports, summaries, and visualizations that communicate findings and implications.
  • Stay current with advancements in AI/ML, LLMs, and cybersecurity data domains.
  • Contribute to MLOps practices including model versioning and deployment support.
  • Assist in LLM-driven techniques for assessing compromised datasets to gauge impact and score risk.

 Requirements:

  • 2–5+ years of professional experience as a Data Scientist with emphasis on AI/ML model development and deployment (0–3 years for Junior level).
  • Bachelor's degree required; Master's preferred in Data Science, Computer Science, Statistics, Mathematics, or a closely related field.
  • Proficiency in Python (primary); experience with R is a plus.