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Llm Analyst Jobs in Reno, NV (NOW HIRING)

Teradata Corporation (SE)

Staff AI Engineer

Carson City, NV · On-site

$169.40 - $254.10/hr

... AI, LLM platforms, retrieval augmented generation (RAG), vector stores, and developer facing AI ... Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term ...

All JobsLlm Analyst JobsLlm Analyst Jobs in Reno, NV

Llm Analyst information

See Reno, NV salary details

$30.9K

$73K

$129.6K

How much do llm analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for llm analyst in Reno, NV is $73,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $86,700.00 per year, depending on experience, location, and employer.

What is an LLM analyst?

An LLM Analyst is a professional who specializes in working with large language models (LLMs), such as GPT or similar AI systems. Their role typically involves evaluating, fine-tuning, and analyzing the performance of these models for specific business or research applications. LLM Analysts may also handle tasks like prompt engineering, data annotation, and quality assurance to ensure that the language model meets designated objectives and safety standards. This position requires a strong understanding of machine learning concepts, natural language processing (NLP), and data analysis.

What are the key skills and qualifications needed to thrive as an LLM analyst, and why are they important?

To thrive as an LLM Analyst, you need a solid background in data science, natural language processing (NLP), and machine learning, often supported by a relevant degree in computer science or a related field. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and experience using large language models (LLMs) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with cross-functional teams. These skills are crucial for developing, evaluating, and optimizing LLM applications to deliver accurate and impactful AI solutions.

What are some common challenges faced by LLM analysts when working with large language models in a production environment?

LLM Analysts often encounter challenges such as optimizing model performance while balancing computational costs, ensuring data privacy and compliance, and troubleshooting unexpected model outputs. Collaborating closely with data engineers and machine learning researchers is essential to address issues like data pipeline bottlenecks and model drift. Additionally, LLM Analysts must continuously monitor and retrain models to maintain accuracy, which requires strong analytical and problem-solving skills in a fast-paced, collaborative environment.

What is the difference between Llm Analyst vs Data Scientist?

AspectLlm AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of machine learning and NLPBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentTech companies, AI firms, research labs focusing on language modelsVarious industries including tech, finance, healthcare; data-driven roles
Employer & Industry UsagePrimarily in AI and NLP-focused companiesBroadly across industries with data analysis needs

While both roles involve working with data and machine learning, an Llm Analyst specializes in language models and NLP applications, whereas a Data Scientist has a broader focus on data analysis, modeling, and insights across various domains.

What jobs can I do with a Llm analyst?

A LLM analyst typically works in roles related to analyzing large language models, such as AI research scientist, machine learning engineer, data scientist, or NLP specialist. These positions involve developing, evaluating, and improving language models, often requiring skills in programming, data analysis, and understanding of AI frameworks. Opportunities are available in tech companies, research institutions, and AI-focused organizations.

What are popular job titles related to Llm Analyst jobs in Reno, NV?

For Llm Analyst jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Llm Analyst jobs in Reno, NV look for?

The top searched job categories for Llm Analyst jobs in Reno, NV are:

What cities near Reno, NV are hiring for Llm Analyst jobs?

Cities near Reno, NV with the most Llm Analyst job openings:

Llm Analyst jobs near you

Senior Application Security Engineer

Reno, NV • Remote

Clear Capital | CubiCasa | restb.ai
See more jobs at Clear Capital | CubiCasa | restb.aiexternal

$111K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

The Sr. Application Security Engineer is responsible for validating that application services are designed and implemented with high security standards. The role analyzes the security of applications in tandem with their underlying services, including connected dependencies such as middle-tier systems and databases. Additionally, the Sr. Application Security Engineer addresses legacy and emerging security issues, and implements repeatable secure development practices to reduce the introduction of program design flaws that may lead to exploitation. As issues are uncovered, the application security engineer communicates with the appropriate technical and leadership teams to ensure a focus on risk mitigation – allowing for business continuity, but without negligent risk. Application Security Engineers are constantly assessing applications for weaknesses and finding resolutions before they can be abused.
 
This position is also responsible for assessing the security of applications for business-to-business initiatives, third-party relationships, outsourced solutions and vendors. The Sr. Application Security Engineer is expected to recommend programmatic controls, and monitor and manage secure development practices to address modern day issues. Application Security Engineers think like attackers, but always act with integrity and do not abuse their privilege.
What You Will Work On
  • Plan and carry out application security testing in all phases of the software development life cycle to identify vulnerabilities in applications and weaknesses in secure coding practices.
  • Assess discovered vulnerabilities and recommend risk-mitigating solutions, leveraging automation to improve the efficiency of both testing and remediation processes.
  • Communicate findings, risks, and recommendations to stakeholders, while documenting delivery and implementation progress against defined service-level agreements (SLAs) and business metrics.
  • Lead AI security initiatives, including threat modeling production LLM stacks for autonomy and prompt injection risks, and auditing third-party models and APIs to secure the software supply chain.
  • Attend and participate in product and application projects. This includes interacting with business units and technical teams to understand what is coming and how their projects can be more secure from the beginning.
  • Collaborate with architects and development teams to drive secure design practices, leveraging established security standards, configurations, and frameworks.
  • Fully define and follow a security review process to ensure an automated and repeatable process is managed. 
  • Regularly monitor the security community for public-facing security issues, as well as to learn new tactics that can be used in testing.
  • Train developers and junior application security engineers on weaknesses to avoid.
  • Perform other duties as assigned.
Who We Are Looking For
  • 4+ years of related experience required. 
  • Bachelor’s Degree, ideally in a technically related field (Computer Science, Information Technology, Software Engineering), or equivalent work experience.
  • Highly technical and analytical, with a background in software development, and scripting (e.g., Java, Python, C++, Ruby, JavaScript, PowerShell, PHP).
  • Expertise in application security testing, including hands-on experience with Static (SAST), Dynamic (DAST), and Software Composition Analysis (SCA) tools.
  • Proficiency in application security assessments, including threat modeling, vulnerability and penetration testing, API security, OWASP Top Ten mitigation, and securing applications in AWS and private cloud environments.
  • Relevant certifications such as C\u007CASE, CSSLP, GWAPT, OSCP, or equivalent.
  • Experience with frameworks such as ISO 27001, NIST, GDPR, CIS, or SOC 2.
What You Can Expect
  • Compensation: The base salary for this position ranges from $111,000 to $144,400 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. 
  • Inclusive benefits package offering: 
  • Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services,  paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.
  • Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.
  • Career and skill development resources to help advance your career and personal growth.
  • A mission-driven environment where your work makes a measurable impact on the real estate industry.
What We Value
  • Wherever it Leads, Whatever it Takes® -  No matter how remote, complex, or unexpected. Our commitment never wavers.
  • Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
  • Lift others up - We lead with empathy and strive to improve the lives of those around us.
  • Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.
  • Raise the bar -  We don’t settle for industry standards, we redefine them.
About Us

Clear Capital is a national real estate analytics, data solutions and valuation technology company with a simple purpose: to build confidence in real estate decisions to strengthen communities and improve lives. Our goal is to provide customers with a complete understanding of nearly every U.S. property through our AI-driven analytics, data solutions, valuation services and automated appraisal review platforms. Our commitment to excellence - wherever it leads, whatever it takes® - is embodied by our team members across our brands and has remained steadfast in this pursuit since our first order in 2001.

Clear Capital is an equal-opportunity employer.

To all recruitment agencies: Clear Capital does not accept agency resumes. Please do not forward resumes to our jobs alias, Clear Capital employees, or any other company location. Clear Capital is not responsible for any fees related to unsolicited resumes.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.