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Llm Trainer Jobs in Delaware (NOW HIRING)

JPMorgan Chase & Co.

$120 - $170/hr

Formal training or certification on software engineering concepts and 3+ years applied experience ... Experience with Transformative AI or LLM driven solutions. Preferred Qualifications, Capabilities ...

JPMorgan Chase & Co.

$150 - $190/hr

Training in Generative AI solutions like NLP & LLM Models * Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test ...

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How much do llm trainer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for llm trainer in Delaware is $36.94, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $52.93 per hour, depending on experience, location, and employer.

What is an LLM trainer?

An LLM Trainer is responsible for training and fine-tuning large language models (LLMs) to improve their accuracy, efficiency, and relevance for specific applications. This role involves curating and preprocessing training data, designing training methodologies, and evaluating model performance. LLM Trainers work closely with data scientists, engineers, and researchers to optimize models for tasks such as natural language understanding, text generation, and conversational AI. They also ensure ethical AI practices by mitigating biases and refining model outputs.

What does an LLM trainer do?

LLM Trainers are responsible for designing and refining training datasets, developing prompts, evaluating model outputs, and working closely with engineers and data scientists to optimize large language models. Common challenges include maintaining data quality, mitigating model biases, and staying up-to-date with rapidly evolving AI research and best practices. You’ll often collaborate with cross-functional teams, communicate findings clearly, and adapt to new tools or methodologies. This dynamic environment offers opportunities for innovation and skill development, making it an excellent fit for those passionate about advancing AI technology.

What skills and qualifications are needed to be an LLM trainer?

To thrive as an LLM Trainer, you need a deep understanding of natural language processing (NLP), machine learning principles, and data annotation techniques, often supported by a background in computer science or related fields. Familiarity with tools like Python, PyTorch or TensorFlow, data labeling platforms, and version control systems is essential, along with knowledge of prompt engineering and model fine-tuning. Strong analytical thinking, attention to detail, and collaborative communication skills are crucial soft skills for working with cross-functional AI teams. These competencies are important for developing high-quality language models that meet user needs and industry standards.

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For Llm Trainer jobs in Delaware, the most frequently searched job titles are:

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Infographic showing various Llm Trainer job openings in Delaware as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $76,838 per year, or $36.9 per hour.

Software Engineer III - Java / Transformative AI/LLM

JPMorgan Chase & Co

Wilmington, DE • On-site

$50.25 - $69/hr

Full-time

Medical, Retirement

Posted 22 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks

Job description

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As an AWS Software Engineer III-Full Stack at JPMorgan Chase within the Transformative AI Team, you will be part of an agile team that designs, builds, and delivers innovative solutions to support our clients' trust and estate needs. You will work across the stack, leveraging modern technologies to create secure, scalable, and high-quality applications. As a key member of our engineering team, you will execute software solutions through design, development, and technical troubleshooting, while gaining the skills and experience needed to grow within your role.

Job Responsibilities

  • Execute software solutions, design, development, and technical troubleshooting for Transformative AI  applications.
  • Write secure and high-quality code using Java and React, with limited guidance. 
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Design, develop, and maintain cloud-native applications on AWS, considering upstream and downstream system impacts.
  • Apply knowledge of tools within the Software Development Life Cycle to improve automation and operational stability.
  • Gather, analyze, and synthesize data from diverse sources to drive continuous improvement of software applications and systems.
  • Proactively identify and solve technical problems, contributing to system architecture and coding hygiene.
  • Collaborate with team members to foster a culture of diversity, opportunity, inclusion, and respect.
  • Contribute to engineering communities of practice and events that explore new and emerging technologies.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Advanced skills in Java with experience developing, debugging, and maintaining code in a large corporate environment, with hands-on skills in Java 11+, Spring Boot, and AWS
  • Intermediate-level familiarity with AWS or other cloud environment.
  • Strong coding fundamentals, including algorithms and data structures.
  • Experience across the Software Development Life Cycle and agile methodologies such as CI/CD, application resiliency, and security.

  • Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, platform engineering).

  • Experience with Transformative AI or LLM driven solutions.

Preferred Qualifications, Capabilities, and Skills

  • Familiar with LLMs, GitHub or CoPilot for building and maintaining robust applications
  • Exposure to Infrastructure as Code and API development in the context of public cloud.
  • Familiarity with event-driven architectures and modern front-end technologies such as React.
  • AWS certification.
  • Experience in financial services domains.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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