ZipRecruiter

Log In

1

Hourly Large Language Model Llm Jobs in Michigan

Kla

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

... by large language models (LLMs), with a focus on integrating AI capabilities into user-facing ... Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop ...

Kla

AI Software Engineer - Operations

Ann Arbor, MI · On-site

$90K - $153K/yr

... by large language models (LLMs), with a focus on integrating AI capabilities into user-facing ... Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop ...

Orbotech

AI Software Engineer - Operations

Ann Arbor, MI · On-site

$90K - $153K/yr

... by large language models (LLMs), with a focus on integrating AI capabilities into user-facing ... Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site

$111K - $147K/yr

We are modernizing our portfolio by embedding Generative AI, Large Language Models (LLMs), and ... Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · Remote

$111K - $147K/yr

We are modernizing our portfolio by embedding Generative AI, Large Language Models (LLMs), and ... Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Build and integrate Generative AI solutions utilizing large language models (LLMs) to create ... Experience with LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.

Apex Systems

Lead AI/ML Engineer

Dearborn, MI · On-site

$94K - $124K/yr

... and LLM evaluation * Oversee vendor fine-tuning of Google Cloud Vertex AI using proprietary ... of large language models, expert systems, or intelligent automation within developer or data ...

Deloitte

Google AI Architect

Detroit, MI · On-site

LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and ...

Siemens Mobility

Applied Data Scientist

Livonia, MI · On-site

$150 - $200/hr

We are seeking an experienced AI Developer with expertise in Large Language Models (LLMs), ontologies, and knowledge graphs to join our team. This role will focus on developing AI-driven solutions ...

Eccalon LLC

AI Expert- Software

Detroit, MI · On-site

Experience working with large language models (LLMs) and generative AI tools. * Familiarity with cloud platforms (AWS, Azure, or GCP) and AI deployment pipelines. * Experience with MLOps, model ...

previous page

Showing results 41-60

All JobsHourly Large Language Model Llm JobsHourly Large Language Model Llm Jobs in Michigan

Hourly Large Language Model Llm information

What is an hourly large language model LLM?

Hourly Large Language Model (LLM) jobs are roles where individuals work with LLMs, such as ChatGPT or similar AI systems, on an hourly basis. These positions often involve tasks like data annotation, prompt engineering, AI model evaluation, or content generation. Workers may be responsible for improving AI responses, testing models, or creating training data. The 'hourly' aspect means they are paid based on the number of hours worked, rather than a fixed salary or per-project rate. Such jobs are common in tech companies, research organizations, or freelance platforms.

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

To thrive as a Large Language Model (LLM) Engineer, you need a solid background in machine learning, natural language processing, and programming—typically with a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with cloud platforms, and knowledge of model deployment tools are highly valued, along with certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication help you collaborate with cross-functional teams and innovate solutions. These competencies are crucial for developing, optimizing, and scaling LLMs to meet evolving business and research needs.

What are some common challenges faced by hourly large language model (LLM) annotators and how can they be addressed?

Hourly LLM annotators often face challenges such as maintaining consistency in labeling, handling ambiguous or unclear data, and managing the repetitive nature of annotation tasks. To address these challenges, it's helpful to regularly review annotation guidelines, participate in team discussions to clarify uncertainties, and leverage available feedback from quality assurance checks. Collaborating with teammates and project managers can also provide support and ensure alignment on task expectations, making the work environment more collaborative and improving overall accuracy.

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

AspectHourly Large Language Model LlmData Scientist
Required CredentialsKnowledge of AI, NLP, programming skillsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI research labs, freelance projectsCorporate, consulting firms, research institutions
Industry UsageDeveloping and fine-tuning language models, AI applicationsData analysis, predictive modeling, data visualization

While both roles involve working with data and advanced technology, Hourly Large Language Model Llm focuses on developing and deploying AI language models, whereas Data Scientists analyze data to inform business decisions. The roles share skills in programming and data handling but differ in their primary objectives and work environments.

What are the most commonly searched types of Large Language Model Llm jobs in Michigan?

The most popular types of Large Language Model Llm jobs in Michigan are:

What are popular job titles related to Hourly Large Language Model Llm jobs in Michigan?

For Hourly Large Language Model Llm jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Hourly Large Language Model Llm jobs in Michigan look for?

The top searched job categories for Hourly Large Language Model Llm jobs in Michigan are:

What cities in Michigan are hiring for Hourly Large Language Model Llm jobs?

Cities in Michigan with the most Hourly Large Language Model Llm job openings:

Hourly Large Language Model Llm jobs near you

AI Software Engineer|Manufacturing

Kla

Ann Arbor, MI • On-site

$111K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs), with a focus on integrating AI capabilities into user-facing products. This role emphasizes application development, orchestration, and user experience rather than model training. The engineer will develop scalable backend services, prototype intuitive user interfaces, and enable seamless interaction between users and LLM-based systems.
This position requires a strong blend of software engineering, systems thinking, and practical AI implementation to deliver production-ready solutions that leverage LLM APIs and frameworks.Design and develop end-to-end AI applications that leverage LLMs for business use cases

  • Build and maintain backend services that orchestrate LLM interactions, prompts, and workflows

  • Prototype and develop intuitive user interfaces that enable effective human-AI interaction

  • Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications

  • Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability

  • Implement retrieval-augmented generation (RAG) architectures using internal and external data sources

  • Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge bases)

  • Monitor, evaluate, and improve AI application performance using metrics such as latency, cost, and response quality

  • Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI-enabled solutions

  • Ensure responsible AI practices, including privacy, security, and bias mitigation

  • Rapidly prototype AI tools and iterate based on user feedback

Preferred Qualifications

  • Experience working in manufacturing

  • Experience building AI products using LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex)

  • Knowledge of retrieval-augmented generation (RAG) and vector databases (e.g., Pinecone, FAISS, Azure Cognitive Search)

  • Vector database (Milvus) for semantic search, along with a knowledge graph (Neo4j)

  • Experience orchestrating multi-step AI workflows or agent-based systems

  • Familiarity with enterprise data platforms and integrations (e.g., Snowflake, SAP, APIs, knowledge graphs)

  • Experience designing conversational interfaces or chat-based applications

  • Understanding of evaluation techniques for LLM outputs (quality, grounding, hallucination mitigation)

  • Exposure to prompt optimization, fine-tuning concepts (not necessarily hands-on training)

  • Experience deploying scalable microservices architectures

  • Strong UI/UX sensibility for AI-driven applications

  • Experience working in cross-functional teams delivering production-grade AI solutions

  • Bachelor's degree in Computer Science, Software Engineering, or related field

  • 3+ years of professional software development experience

  • Strong programming skills in Python, JavaScript, or similar languages

  • Experience building and consuming RESTful APIs

  • Hands-on experience integrating LLM APIs or similar AI services into applications

  • Familiarity with prompt engineering and LLM interaction patterns

  • Experience developing web-based user interfaces (e.g., React, Angular, or similar frameworks)

  • Understanding of cloud platforms (e.g., Azure, Snowflake)

  • Knowledge of software design principles, version control, and CI/CD practices

Minimum Qualifications

  • Master's Level Degree and related work experience of 6 years; OR Bachelor's Level Degree and related work experience of 8 years; OR equivalent work experience

Base Pay Range: $111,100.00 - $188,900.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Apply