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Llm Research Intern Jobs in Scottsdale, AZ (NOW HIRING)

Llm Research Intern information

See Scottsdale, AZ salary details

$2.1K

$6.5K

$7.8K

How much do llm research intern jobs pay per month?

As of May 27, 2026, the average monthly pay for llm research intern in Scottsdale, AZ is $6,487.67, according to ZipRecruiter salary data. Most workers in this role earn between $4,450.00 and $7,725.00 per month, depending on experience, location, and employer.

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

To thrive as an LLM Research Intern, you need a solid background in machine learning, natural language processing, and programming languages such as Python, typically supported by ongoing or completed coursework in computer science or a related field. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow), version control systems like Git, and familiarity with large language model architectures are highly valuable. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help interns contribute meaningfully to research projects. These competencies enable interns to support innovative research, efficiently tackle complex tasks, and integrate well within interdisciplinary AI teams.

What types of projects do LLM Research Interns typically work on, and how much autonomy do they have in designing experiments?

LLM Research Interns often contribute to cutting-edge projects such as developing novel architectures, enhancing model efficiency, or evaluating bias and fairness in language models. Interns are usually paired with experienced researchers and engineers, collaborating closely within a team while also having the opportunity to propose and test their own ideas. While guidance is provided, interns are encouraged to design and run experiments independently, fostering both learning and innovation. This balance of mentorship and autonomy allows interns to make meaningful contributions while developing their research skills.

What is an LLM Research Intern?

An LLM Research Intern is a student or early-career professional who assists in research and development related to large language models (LLMs), such as GPT or BERT. Their responsibilities typically include conducting literature reviews, implementing machine learning models, analyzing data, and collaborating with senior researchers to improve the performance and capabilities of LLMs. This role is ideal for individuals interested in artificial intelligence, natural language processing, and advancing state-of-the-art language technologies.
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Infographic showing various Llm Research Intern job openings in Scottsdale, AZ as of May 2026, with employment types broken down into 3% As Needed, 55% Full Time, 39% Part Time, and 3% Contract. Highlights an 20% Physical, and 80% Remote job distribution, with an average salary of $77,852 per year, or $37.4 per hour.

AI Fullstack Software Engineer-Intern

Teradata

Phoenix, AZ • On-site

Other

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Our Internship Program

Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.

Our company

Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do

At Teradata, we're not just managing data; we're unleashing its full potential. Our Teradata AI Studio platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems.

We're building intelligent systems that go far beyond automation - they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you'll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.

You'll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software - from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.

If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.

Who You'll Work With

Imagine collaborating daily with some of the brightest minds in the company - individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Cloud platform. Your insights will directly shape the future of our intelligent data solutions.

You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.

What Makes You a Qualified Candidate

  • Experience working with modern data platforms like Teradata, Snowflake, and Databricks

  • Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.

  • You are an excellent full stack engineer who codes daily and owns systems end-to-end.

  • Build intuitive UI with user-friendly natural language interfaces (e.g., chatbots, AI assistants) to allow users to interact with the data platform using natural language queries.

  • Strong engineering background (Python/Java/Golang, API integration, backend frameworks)

  • Strong system design skills and understanding of distributed systems.

  • You're obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.

  • Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn

  • Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc.), and orchestration tools.

  • Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

  • Solid understanding of model performance monitoring, drift detection, and responsible AI principles.

What You Bring

  • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field - your academic foundation is key.

  • A genuine excitement for AI and large language models (LLMs) is a significant advantage - you'll be working at the cutting edge!

  • UI/UX Development: Proficiency in JavaScript frameworks (React.js, Vue.js, Angular) and CSS libraries (Bootstrap, Material-UI).

  • Design, develop, and deploy agentic systems integrated into the data platform.

  • 3+ years of experience in software architecture, backend systems, or AI infrastructure.

  • Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.

  • Passion for building safe, human-aligned autonomous systems.

  • Experience in software development (Python, Go, or Java preferred).

  • Familiarity with backend service development, APIs, and distributed systems.

  • Interest or experience in LLMs, autonomous agents, or AI tooling.

  • Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.

  • Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

  • Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.

  • Integrate observability tooling (e.g., OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.

  • Bonus: Research experience or contributions to open-source agentic frameworks.

  • You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.

Pay Rate: $29.00 - $44.00 - $50.00 Hourly

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

#LI-SK1

Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

Pay Rate: 0.0000 - 0.0000 - 0.0000 Hourly

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance.

Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits