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Hourly Large Language Model Llm Jobs in Alabama (NOW HIRING)

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

... Large Language Model (LLM) technologiesCreate scalable data models and services that support analytics, reporting, and digital engineering initiativesCollaborate with systems engineers, software ...

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 ...

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 ...

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 ...

Systems Architect

Huntsville, AL · On-site

$100 - $130/hr

Hands-on experience with Generative AI and Large Language Model (LLM) platforms, including Azure OpenAI, OpenAI, Anthropic, Palantir, or similar technologies.* Experience supporting software ...

Systems Architect

Huntsville, AL · On-site

$239K/yr

Hands-on experience with Generative AI and Large Language Model (LLM) platforms, including Azure OpenAI, OpenAI, Anthropic, Palantir, or similar technologies. * Experience supporting software ...

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Hourly Large Language Model Llm information

What is an hourly large language model LLM?

Hourly Large Language Model (LLM) jobs are roles where individuals work with LLMs, such as ChatGPT or similar AI systems, on an hourly basis. These positions often involve tasks like data annotation, prompt engineering, AI model evaluation, or content generation. Workers may be responsible for improving AI responses, testing models, or creating training data. The 'hourly' aspect means they are paid based on the number of hours worked, rather than a fixed salary or per-project rate. Such jobs are common in tech companies, research organizations, or freelance platforms.

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

To thrive as a Large Language Model (LLM) Engineer, you need a solid background in machine learning, natural language processing, and programming—typically with a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with cloud platforms, and knowledge of model deployment tools are highly valued, along with certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication help you collaborate with cross-functional teams and innovate solutions. These competencies are crucial for developing, optimizing, and scaling LLMs to meet evolving business and research needs.

What are some common challenges faced by hourly large language model (LLM) annotators and how can they be addressed?

Hourly LLM annotators often face challenges such as maintaining consistency in labeling, handling ambiguous or unclear data, and managing the repetitive nature of annotation tasks. To address these challenges, it's helpful to regularly review annotation guidelines, participate in team discussions to clarify uncertainties, and leverage available feedback from quality assurance checks. Collaborating with teammates and project managers can also provide support and ensure alignment on task expectations, making the work environment more collaborative and improving overall accuracy.

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

AspectHourly Large Language Model LlmData Scientist
Required CredentialsKnowledge of AI, NLP, programming skillsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI research labs, freelance projectsCorporate, consulting firms, research institutions
Industry UsageDeveloping and fine-tuning language models, AI applicationsData analysis, predictive modeling, data visualization

While both roles involve working with data and advanced technology, Hourly Large Language Model Llm focuses on developing and deploying AI language models, whereas Data Scientists analyze data to inform business decisions. The roles share skills in programming and data handling but differ in their primary objectives and work environments.

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 Hourly Large Language Model Llm jobs in Alabama?

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

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

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

What cities in Alabama are hiring for Hourly Large Language Model Llm jobs?

Cities in Alabama with the most Hourly Large Language Model Llm job openings:

Infographic showing various Hourly Large Language Model Llm job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 37% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

AI-Focused Red Team Operator

Huntsville, AL • On-site

Millennium Corporation
Insurance Services • 11 - 50 employees

Full-time

Posted 21 days ago


Job description

Overview

Millennium is proud to be part of the Markon enterprise, a network of specialized organizations united in support of critical national security missions. This partnership strengthens our ability to deliver results by expanding our technical depth, operational reach, and access to a broader bench of proven experts, ensuring our customers continue to receive best-in-class cybersecurity support.Since 2004, Millennium has operated at the forefront of cybersecurity. Our elite team of over 300 professionals brings an unmatched record of performance across Red Team Operations, Defensive Cyber Operations, Software Engineering, and Technical Engineering. As home to the largest contingent of contracted Red Team operators supporting the Department of Defense, Millennium delivers unparalleled threat intelligence and battle-tested expertise to both DoD and federal civilian customers.

What We Believe

Millennium is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state, or local law.

Responsibilities

Millennium is hiring a skilled AI-Focused Red Team Operator to support advanced cyber operations for a government customer in the Washington, DC area (Position contingent upon contract award/additional funding). The candidate must have an active Top Secret clearance. 

The ideal candidate possesses extensive experience in offensive and defensive cybersecurity operations and is passionate about applying artificial intelligence to improve cyber mission effectiveness. Th candidate will get an opportunity to work at the forefront of AI-enabled cyber operations, combining traditional penetration testing, adversary emulation, threat hunting, and detection engineering with emerging AI technologies.

  • Conduct authorized penetration testing, adversary emulation, and Red Team assessments against enterprise, cloud, and AI-enabled environments.
  • Perform Blue Team activities including threat hunting, detection engineering, incident response support, and defensive security assessments.
  • Evaluate AI and machine learning systems for security weaknesses throughout the model lifecycle.
  • Assess Large Language Model (LLM) applications against emerging AI threats and industry frameworks such as the OWASP LLM Top 10.
  • Identify vulnerabilities involving prompt injection, retrieval-augmented generation (RAG), model manipulation, indirect prompt injection, tool abuse, data poisoning, and model extraction techniques.
  • Develop offensive tradecraft to evaluate AI-enabled systems while ensuring responsible and authorized testing practices.
  • Design and implement defensive controls including guardrails, monitoring, content filtering, evaluation frameworks, and AI-specific security controls.
  • Leverage AI technologies to improve offensive and defensive cyber operations through automation, large-scale reconnaissance, code analysis, detection engineering, report generation, and security analytics.
  • Collaborate with cybersecurity engineers, analysts, and stakeholders to improve organizational resilience against emerging AI-enabled threats.
  • Produce high-quality technical documentation, assessment reports, and executive briefings.

AI Engineering & Automation

Successful candidates should demonstrate experience building or integrating AI-assisted security workflows, including:

  • Agentic workflows for security operations and incident response
  • Automated alert triage and enrichment
  • Detection tuning and threat hunting using AI
  • AI-assisted report generation and documentation
  • Secure integration of LLMs into cybersecurity workflows
  • Evaluation and testing of security-focused language models
Qualifications
  • Active Top Secret security clearance.
  • Bachelor's and total 5+ years experience. Additonal 4+ YoE would be considered in lieu of degree.
  • Experience conducting Red Team operations, penetration testing, or adversary emulation.
  • Design, develop, and evaluate AI agents capable of automating routine penetration testing tasks within authorized environments, employing strict operational guardrails, human oversight, and defined rules of engagement to ensure safe, controlled, and repeatable security assessments.
  • Experience supporting Blue Team operations including threat hunting, detection engineering, incident response, or security operations.
  • Strong understanding of enterprise networking, operating systems, identity management, cloud technologies, and modern attack methodologies.
  • Experience developing scripts or automation using Python, PowerShell, Bash, or similar languages.
  • Familiarity with AI/ML concepts, Large Language Models, and AI security risks.
  • Strong written and verbal communication skills.
Preferred Qualifications: Experience with one or more of the following:
  • AI Red Teaming
  • Prompt injection testing
  • Retrieval-Augmented Generation (RAG) security
  • Adversarial machine learning
  • Model evasion and data poisoning
  • AI governance and secure model deployment
  • MITRE ATT&CK
  • MITRE ATLAS
  • OWASP LLM Top 10
  • NIST AI Risk Management Framework (AI RMF)

One or more of the following certifications are desirable:

  • CISSP or CEH or OSCP or GPEN or GCIH or PNPT or Security+ or AI Security coursework or certifications (e.g., AI Security Fundamentals, LLM Red Teaming, or equivalent training)
  •  
Business Development

Assist with Business Development activities as required to support Millennium's strategic business objectives, which may include but not limited to participation in technical interviews, creation of technical documentation, general proposal writing support and proposal color reviews.

Physical Requirements
  • Must be comfortable with prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 10-15 pounds at a time.
COMPENSATION:

$130,000-$133,000

The salary range provided for this position is intended as a general guideline and does not guarantee a specific salary or compensation amount. Final compensation will be determined based on a variety of factors, including, relevant education, experience, knowledge, skills, and abilities.

Employment Type: OTHER