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Entry Level Large Language Model Llm Jobs (NOW HIRING)

SageNet

AI Engineer

Tulsa, OK · On-site

Contribute to the evaluation, testing, and adoption of emerging AI technologies, including generative AI and large language model (LLM) solutions * Assist with building scalable AI workflows and ...

SageNet LLC

AI Engineer

Tulsa, OK

Contribute to the evaluation, testing, and adoption of emerging AI technologies, including generative AI and large language model (LLM) solutions * Assist with building scalable AI workflows and ...

Apple

Gate-level IR/EM CAD/NLP Engineer

Austin, TX · On-site

You will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon design, also applying machine learning (ML) and large language modeling (LLM ...

CTI

Junior AI Developer

Memphis, TN · On-site +1

$60K - $78K/yr

This role ensures the delivery of production-grade Large Language Model (LLM) systems that meet real-world demands for performance, cost-efficiency, and governance. MINIMUM QUALIFICATIONS Education:

Pyramid Consulting

AI/ML Engineer

Charlotte, NC · On-site

Build and fine-tune large language model (LLM)-based solutions (e.g., chatbots, recommendation systems, automation tools). * Implement end-to-end ML pipelines including data preprocessing, model ...

Pyramid Consulting

AI/ML Engineer

Raleigh, NC · On-site

Build and fine-tune large language model (LLM)-based solutions (e.g., chatbots, recommendation systems, automation tools). * Implement end-to-end ML pipelines including data preprocessing, model ...

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Entry Level Large Language Model Llm information

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

As of Jun 14, 2026, the average hourly pay for entry level large language model llm in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Entry Level Large Language Model roles are likely to persist in fields requiring human oversight, creativity, and complex problem-solving, such as AI ethics specialists, data annotation professionals, and AI trainers. These jobs involve tasks that complement AI systems and require critical thinking, domain expertise, and interpersonal skills that AI cannot fully replicate. Continuous learning and technical understanding will enhance job security in these areas.

What is an Entry Level Large Language Model (LLM) role?

An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.

What job makes $10,000 a month without a degree?

Entry-level roles in large language model development or AI-related fields can potentially pay $10,000 or more per month, especially for those with strong technical skills in machine learning, programming, and data analysis. High-paying positions often require expertise in AI tools, coding languages like Python, and experience with cloud computing platforms, even if a formal degree is not mandatory.

What are the key skills and qualifications needed to thrive as an Entry Level Large Language Model (LLM) Engineer, and why are they important?

To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often involving advanced skills in large language models, data science, and deep learning. These positions usually require extensive experience, specialized knowledge, and may include leadership responsibilities or equity components in tech companies.

What types of projects do entry-level professionals working with Large Language Models (LLMs) typically contribute to?

Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.

What is the difference between Entry Level Large Language Model Llm vs Data Analyst?

AspectEntry Level Large Language Model LlmData Analyst
Required CredentialsBasic understanding of NLP, programming skills (Python), coursework or certifications in AI/MLBachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, AI companies, tech startups; focus on model development and trainingBusiness environments, consulting firms, finance, healthcare; focus on data interpretation and reporting
Industry UsageAI development, NLP applications, machine learning researchBusiness intelligence, market analysis, operational insights

Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What profession makes $400,000 a year?

In the field of artificial intelligence, senior roles such as Machine Learning Engineers or AI Research Directors working on large language models can earn $400,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. These positions often require advanced degrees, specialized knowledge of deep learning frameworks, and a strong track record of project success.
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Entry Level Large Language Model Llm jobs near you
Infographic showing various Entry Level Large Language Model Llm job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 73% Full Time, 19% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $46,753 per year, or $22.5 per hour.

Security Engineer, Android Product Security

Google

New York, NY • On-site

Full-time

Posted 5 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 190 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with security assessments, penetration testing, or vulnerability research on the Android platform or Android applications.
  • 2 years of experience with security engineering, computer and network security and security protocols.
  • 2 years of coding experience in one or more general purpose languages.

Preferred qualifications:
  • Experience designing and building LLM-based agentic workflows, frameworks, or automation tools specifically targeted at vulnerability research and remediation.
  • Direct experience participating in, triaging, or receiving rewards from high-impact Vulnerability Reward Programs (VRPs).
  • Familiarity with Artificial Intelligence (AI) and Large Language Model (LLM) concepts, with a demonstrated interest in applying them to security domains.
  • Proven track record in Android platform security research, as demonstrated by public CVEs, published whitepapers, or presentations at reputable security conferences (e.g., Black Hat, DEF CON, etc.).
  • Foundational understanding of the Android operating system architecture, security model, and common attack surfaces.

About the job
In this role, you will join the Android Product Security Engineering (APSE) a cross-functional team tasked with ensuring Android is the most secure and defended operating system in the world, protecting the entire ecosystem of three billion devices. You will achieve this by collaborating with internal partners across Android Security, Development, and Partner Engineering, as well as stakeholders outside of Android such as Chrome, and engage with a vast network of external partners, including SoC manufacturers and telecom carriers. You will secure this ecosystem by leading the industry-defining Android Vulnerability Reward Program (VRP) and pioneering AI-driven security engineering projects to drive advanced vulnerability research and mitigation at scale.
As a Security Engineer, you will play a pivotal role in enhancing the Android ecosystem's security posture, focusing heavily on driving AI-powered security innovation alongside operational vulnerability response.
In this role, you will build AI/LLM-driven Security Engineering projects, rather than just streamlining existing pipelines, build and deploy cross-functional AI tooling designed to proactively scale in-depth Android vulnerability research and automate complex mitigation strategies, as these tools require deep domain expertise to build effectively, the engineer is expected to have a strong, foundational understanding of Android threat vectors and attack surfaces.
You will actively participate in the Android Vulnerability Reward Program (VRP) by participating in the triage rotations and engaging with the external researcher community. You will apply platform expertise to conduct comprehensive security research, respond to vulnerabilities in both pre-release and in-market Android products, and partner directly with feature teams to implement robust mitigation solutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Build cross-functional AI and Large Language Model (LLM) tooling to scale advanced vulnerability research, defensive engineering, and mitigation strategies across the organization.
  • Participate in the Android and Device VRP program in analyzing and triaging incoming Vulnerabilities, working with cross-functional teams for vulnerability management and tool building, while proactively incorporating AI/LLMs into our VRP pipeline to improve efficiency.
  • Conduct deep-dive security research into Android vulnerabilities and threat vectors, converting VRP reports into prioritized platform mitigation solutions and partner with Product/Feature teams to land them.
  • Embed security by design through providing expert product security consultation and conducting comprehensive security design reviews for new Android features.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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