2

Part Time Llm Developer Jobs (NOW HIRING)

Data Engineer (Contract-to-Hire, Part-Time)

Chicago, IL · On-site

$118K - $141.60K/yr

You'll be in architecture conversations, working through migration decisions with the DevOps team ... Familiarity with and curiosity about LLM tooling, vector databases, or document processing ...

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical ...

Research Assistants

University Park, PA · On-site

$18.75 - $26/hr

... part-time Research Assistants for the Spring 2025, Summer 2025, and Fall 2025 semesters. The ... Prior experience developing LLM applications (e.g., prompt engineering, fine-tuning, agent-based ...

$19 - $26/hr

... part-time Research Assistants for the Spring 2025, Summer 2025, and Fall 2025 semesters. The ... Prior experience developing LLM applications (e.g., prompt engineering, fine-tuning, agent-based ...

Data Engineer

Honolulu, HI · On-site

$113.10K - $135.80K/yr

... LLM enabled assistants, model augmented decision aids, or automation solutions * 10+ years of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

We focus on emerging technologies and skills, such as data science, cloud computing, programming ... Strong expertise in Agentic AI concepts, frameworks, and tools (e.g., autonomous agents, LLM ...

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... AI and LLM solution development and implementation * Automotive mechatronic systems, including ...

next page

Showing results 1-20

Part Time Llm Developer information

See salary details

$7

$19

$39

How much do part time llm developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time llm developer in the United States is $19.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time LLM Developer, and why are they important?

To thrive as a Part Time LLM Developer, you need strong programming skills (especially Python), a solid understanding of machine learning concepts, and experience with large language models (LLMs) or natural language processing. Familiarity with tools like TensorFlow, PyTorch, Hugging Face Transformers, and knowledge of cloud platforms or APIs is typically required. Effective problem-solving, time management, and clear communication are vital soft skills for collaborating remotely and balancing part-time workloads. These competencies are crucial for efficiently developing, deploying, and refining LLM-based applications while meeting project goals within limited hours.

What are some common challenges faced by part-time LLM developers, and how can they be managed effectively?

Part-time LLM developers often face challenges such as managing time efficiently to keep up with evolving AI frameworks and balancing project deadlines with limited working hours. Communication with full-time team members can also be tricky, as project updates and collaboration often happen outside their scheduled hours. To succeed, it's important to set clear expectations with your team, leverage asynchronous communication tools, and prioritize tasks that align with your expertise. Staying up-to-date with industry trends through self-study can also help bridge any knowledge gaps.

What is a Part Time LLM Developer?

A Part Time LLM Developer is a professional who works with large language models (LLMs), such as GPT or similar AI technologies, on a part-time basis. Their responsibilities can include designing, training, fine-tuning, and deploying LLMs for various applications like chatbots, content generation, or data analysis. Working part-time means they typically have flexible hours and may contribute to projects for multiple clients or companies. This role requires a strong foundation in programming, natural language processing, and machine learning concepts.
More about Part Time Llm Developer jobs
What cities are hiring for Part Time Llm Developer jobs? Cities with the most Part Time Llm Developer job openings:
What are the most commonly searched types of Llm Developer jobs? The most popular types of Llm Developer jobs are:
What job categories do people searching Part Time Llm Developer jobs look for? The top searched job categories for Part Time Llm Developer jobs are:

Fractional/Part-Time CTO

Performacentric

Indianapolis, IN • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Fractional Chief Technology Officer (CTO)

Part-Time / Fractional | 10–30 Hours Per Week | Remote

About Performacentric

Performacentric is an AI software company focused on building agentic AI solutions that help small and mid-market businesses improve operational performance, business visibility, employee productivity, and customer outcomes. We develop intelligent AI copilots and agents that automate workflows, unify fragmented business systems, and enable smarter decision-making for growing organizations.

We are seeking a highly technical and execution-focused Fractional CTO to help architect, secure, scale, and operationalize our technology ecosystem.

Position Overview

The Fractional CTO will serve as the senior technical leader for Performacentric, guiding the company's infrastructure, development standards, cloud architecture, DevOps strategy, and long-term technical roadmap.

This is a hands-on leadership role ideal for a builder who is comfortable operating both strategically and tactically. The ideal candidate can establish engineering best practices while also implementing CI/CD pipelines, managing cloud infrastructure, supporting SaaS deployments, and maintaining critical business systems such as IceWarp.

The role is expected to average between 10–30 hours per week depending on active projects and operational needs.

Key ResponsibilitiesTechnical Leadership & Strategy
  • Define and execute the company's technical roadmap
  • Recommend scalable architecture decisions for AI applications and SaaS platforms
  • Establish software engineering standards, governance, and best practices
  • Advise leadership on infrastructure, security, compliance, scalability, and technical investments
  • Evaluate and recommend tools, frameworks, hosting environments, and integrations
  • Assist with technical hiring and vendor evaluation when necessary
DevOps & Infrastructure Management
  • Design, build, and maintain CI/CD pipelines for application deployment
  • Implement automated deployment, testing, monitoring, and rollback strategies
  • Manage cloud infrastructure environments (AWS preferred)
  • Configure and maintain infrastructure-as-code practices where appropriate
  • Monitor uptime, system reliability, backups, disaster recovery, and performance optimization
  • Establish observability and monitoring tools for infrastructure and applications
Cloud & Systems Administration
  • Manage and maintain Performacentric's cloud-hosted instance of IceWarp
  • Handle email server administration, DNS, SPF, DKIM, DMARC, and mail security configurations
  • Maintain user access controls, permissions, and security standards
  • Ensure business continuity and infrastructure resilience
Security & Compliance
  • Implement cybersecurity best practices across applications and infrastructure
  • Conduct security reviews and vulnerability mitigation
  • Establish secure authentication and credential management practices
  • Ensure environments follow appropriate data privacy and security standards
Product & Engineering Collaboration
  • Work alongside developers, contractors, and AI engineers to guide implementation
  • Review application architecture and deployment workflows
  • Help translate business objectives into technical execution plans
  • Assist with product scalability planning as the company grows
Required Qualifications
  • 7+ years of experience in software engineering, cloud infrastructure, DevOps, or technical leadership
  • Prior experience serving as a CTO, Head of Engineering, Lead Architect, or senior DevOps leader
  • Strong hands-on experience building CI/CD pipelines
  • Deep experience with AWS or similar cloud platforms
  • Experience managing Linux-based infrastructure and cloud-hosted applications
  • Familiarity with containerization technologies such as Docker
  • Experience with Git-based deployment workflows and automation tools
  • Knowledge of cybersecurity, infrastructure hardening, and access management
  • Experience administering business communication platforms or mail infrastructure
  • Strong written and verbal communication skills
  • Ability to operate independently in a startup environment
Preferred Qualifications
  • Experience working with AI platforms, LLM-based applications, or automation systems
  • Familiarity with tools such as:
    • GitHub Actions
    • Jenkins
    • Terraform
    • Kubernetes
    • Supabase
    • PostgreSQL
    • N8N
    • LangChain
    • Vector databases
  • Experience supporting SaaS startups or early-stage technology companies
  • Knowledge of API architecture and integrations
  • Familiarity with IceWarp administration
Ideal Candidate Traits
  • Builder mentality with strong execution skills
  • Comfortable balancing strategy with hands-on implementation
  • Able to prioritize effectively in a fast-moving startup environment
  • Highly organized and security conscious
  • Strong problem-solving and troubleshooting capabilities
  • Comfortable working asynchronously and remotely
Compensation
  • Flexible hourly or monthly retainer structure ranging from $90/hr-$120/hr depending on experience and availability
  • Long-term opportunity with growth potential as Performacentric expands
  • Flexible remote work environment
Work Schedule
  • Fully remote
  • 10–30 hours per week
  • Flexible scheduling with occasional availability for leadership and technical planning meetings
To Apply

Please submit:

  • Resume and cover letter
  • Brief summary of relevant DevOps/cloud infrastructure experience
  • Examples of CI/CD pipelines or infrastructure environments you have managed
  • Technologies and cloud platforms you are most comfortable with
  • Desired hourly rate or monthly retainer expectations