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Remote Large Language Model Llm Jobs in Georgetown, TX

Seekr

Forward Deployed Engineer

Austin, TX · On-site +1

... LLM training, fine-tuning, and RAG-based applications. * Fine-tuning, evaluating, and deploying large language models and agentic workflows, ensuring outputs remain grounded, explainable, and ...

Visa

Cybersecurity Engineer

Austin, TX · Remote

$123K/yr

... and Large Language Models (LLMs) is aligned with Visa security controls, Pismo dataprotection principles, and global regulatory expectations. This is a remote position. A remote position does not ...

Cotality

Principal Software Engineer (Python)

Austin, TX · On-site +1

$133K - $179K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Large Language Models (LLMs) for complex synthesis. * Automate Metadata Ingestion: Collaborate with ...

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Remote Large Language Model Llm information

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$13

$22

$35

How much do remote large language model llm jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote large language model llm in Georgetown, TX is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $27.02 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

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

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

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

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Georgetown, TX? The most popular types of Large Language Model Llm jobs in Georgetown, TX are:
What are popular job titles related to Remote Large Language Model Llm jobs in Georgetown, TX? For Remote Large Language Model Llm jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Remote Large Language Model Llm jobs in Georgetown, TX look for? The top searched job categories for Remote Large Language Model Llm jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Large Language Model Llm jobs? Cities near Georgetown, TX with the most Remote Large Language Model Llm job openings:
Remote Large Language Model Llm jobs near you
Infographic showing various Remote Large Language Model Llm job openings in Georgetown, TX as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $47,036 per year, or $22.6 per hour.

Network Security Analyst 3 (Remote)

Serigor, Inc.

Austin, TX • On-site, Remote

Full-time

Posted 3 days ago

New

Job description

Job Title: Network Security Analyst 3 (Remote)
Location: Austin, TX
Duration: 12 Months with possible extension
Job Description:
The client is seeking a senior-level Security Operations Analyst to strengthen detection, response, and orchestration capabilities across the agency's security operations. This role blends deep SOC (Security Operations Center) investigative expertise with hands-on security automation engineering, focusing on CrowdStrike Falcon and Torq to build scalable, AI-assisted detection and response workflows. The ideal candidate has practical experience integrating large language model (LLM) tools such as Claude into security operations - for triage acceleration, playbook generation, and analyst augmentation - while operating within a strict Zero Trust, defense-in-depth security posture appropriate to a state Attorney General's office.
Key Responsibilities
  • Serve as a SOC analysis & Tier 3 escalation point for complex security incidents, performing deep-dive investigation, root cause analysis, and threat hunting across endpoint, network, cloud, and identity telemetry.
  • Design, build, and maintain detection analytics, dashboards, and hunting queries (Falcon Query Language / FQL) within CrowdStrike Falcon, tuning correlation rules and detection logic to reduce false positives and improve mean-time-to-detect (MTTD).
  • Architect and maintain security orchestration, automation, and response (SOAR) playbooks in Torq, integrating CrowdStrike Falcon, identity providers, ticketing, and communication platforms into automated response workflows.
  • Design AI-assisted analyst workflows (e.g., automated triage summarization, alert enrichment, playbook drafting) using approved generative AI tooling, ensuring all inputs are sanitized and free of regulated or case-specific data.
  • Lead incident response efforts for high-severity events, coordinating with IT, legal, and divisional stakeholders while strictly adhering to FTI/CJI handling restrictions.
  • Develop and maintain detection engineering documentation, runbooks, and standard operating procedures (SOPs) for Tier 1/Tier 2 analyst use.
  • Mentor and provide technical guidance to Tier 1 and Tier 2 SOC analysts; review and validate their investigative work and escalation quality.
  • Continuously evaluate and integrate emerging SOC automation and AI capabilities, presenting proposals for tooling changes with documented risk and compliance analysis.
  • Participate in an on-call rotation for critical incident escalations.

The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.
CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
Progressive SOC / security operations experience, including 2+ years functioning at a Tier 3 / senior analyst or detection engineering level.
8
Required
Hands-on production experience with CrowdStrike Falcon (Insight XDR, Discover, and/or Fusion SOAR), including custom detection/IOA authoring, Falcon Query Language (FQL) use, and dashboard development.
8
Required
Demonstrated experience building or maintaining SOAR automation (Torq strongly preferred)
8
Required
Practical, hands-on experience using AI/LLM tools (e.g., Claude, GPT-based tools) to support security operations, with clear understanding of data sanitization and safe-use boundaries in a regulated environment.
8
Required
Working knowledge of Zero Trust architecture principles (NIST 800-207) and general familiarity with regulatory frameworks such as IRS Pub. 1075, FBI CJIS Policy, and HIPAA.
8
Required
Strong scripting/automation ability (PowerShell, Python, or Falcon Query Language-based automation) for building custom detections and integrations.
8
Required
Excellent written communication skills for incident reporting, runbook authorship, and cross-divisional coordination.
8
Required
Experience documenting investigations, creating hunt reports, and communicating technical findings to diverse audiences.
8
Required
Strong analytical, problem-solving, and critical-thinking skills
8
Required
Ability to work independently while collaborating effectively within cross-functional cybersecurity teams.
8
Required
Ability to resolve complex security issues in diverse and decentralized environments; learn, communicate, teach new security technologies; and communicate effectively.
8
Required
Conduct forensic investigations on cyberattacks to determine how they occurred and can be prevented in the future.
8
Required
Experience creating/reviewing/updating security policies and standards for the public/private/hybrid cloud contexts.
4
Required
Bachelor's degree in Computer Science, Information Security, or related field, or equivalent professional experience.
1
Preferred
GIAC certifications (GCIH, GCIA, GCFA) or equivalent.
1
Preferred
CrowdStrike Certified Falcon Responder (CCFR) or CrowdStrike Certified Falcon Administrator (CCFA), or equivalent CrowdStrike security certification.
1
Preferred
Torq certification or demonstrated portfolio of built automation workflows
1
Preferred
Experience designing AI-assisted playbooks or analyst copilots for SOC use cases while maintaining strict data-handling guardrails.
1
Preferred
Familiarity with Microsoft Defender XDR, Splunk, Entra ID Protection, and Tenable One / cloud security posture management (CSPM) tooling.
1
Preferred
Experience in government, legal, or law-enforcement-adjacent security environments

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