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How much do part time llm training jobs pay per year?

As of Jun 1, 2026, the average yearly pay for part time llm training in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Part-Time LLM Training Specialist, you need a strong background in machine learning, natural language processing, and data annotation, often supported by relevant degrees or experience in AI or computer science. Familiarity with tools such as Python, annotation platforms, and version control systems is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for accurately labeling data and collaborating with engineering teams. These skills ensure the quality and efficiency of model training processes, ultimately improving AI system performance.

What are the typical responsibilities and expectations for someone in a part-time LLM training role?

In a part-time LLM training role, your primary responsibility is to assist in training large language models by generating, reviewing, or annotating text data according to specific guidelines. You may also be asked to evaluate AI outputs for quality and relevance or provide feedback to improve model performance. The work is often remote and independent, but you will typically collaborate with project managers and fellow annotators through digital platforms. Attention to detail and consistency are crucial, as your input directly influences the model's learning and accuracy. Flexibility in hours provides a good balance for those seeking supplemental income or experience in the AI field.

What is a part time LLM training job?

A part time LLM training job typically involves working with organizations or companies to help train large language models (LLMs) such as ChatGPT or similar AI systems. These roles may include tasks like data annotation, prompt engineering, content evaluation, or providing feedback on AI outputs. Part time LLM trainers usually have flexible schedules and contribute remotely, making it a popular choice for students, professionals, or individuals seeking supplementary income. The position often requires strong language skills, attention to detail, and sometimes subject matter expertise depending on the focus of the LLM being trained.

What is the difference between Part Time Llm Training vs Paralegal?

AspectPart Time Llm TrainingParalegal
Required CredentialsLaw degree or equivalent, often pursuing specializationAssociate's degree or paralegal certificate
Work EnvironmentAcademic settings, law firms, or online programsLaw firms, corporate legal departments, government agencies
Industry UsageLegal education, specialization, academic advancementLegal support, case preparation, client communication

Part Time Llm Training focuses on advanced legal education for specialization or academic purposes, often pursued alongside work. Paralegals assist lawyers with casework and legal support tasks. While both roles operate within the legal industry, Llm students are primarily engaged in learning, whereas paralegals are involved in practical legal support work.

More about Part Time Llm Training jobs
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
What job categories do people searching Part Time Llm Training jobs look for? The top searched job categories for Part Time Llm Training jobs are:
Part Time Llm Training jobs near you
Infographic showing various Part Time Llm Training job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $68,682 per year, or $33 per hour.

CTO (Nutrition & AI) (San Francisco)

Miriel AI / Mini Gourmet Club

San Francisco, CA

Part-time

Posted 4 days ago

Job description

Chief Technology Officer (CTO) | Co-Founder / Equity Partner | AI & WellnessTech

Company Description

Miriel AI is an early-stage WellnessTech & HealthTech startup revolutionizing how families approach nutrition. We don't just track calories; we use advanced AI and our proprietary Nutritional Intelligence Engine to provide personalized, culturally relevant, and scientifically backed nutritional guidance.

We are looking for the technical architect to help us build our future, who's an entrepreneur at core.

We are seeking a Founder-Mentality CTO to lead our technical development. This is not a standard 9-to-5 development role. You will be a Strategic Partner and a key member of the leadership team, holding equity in the company and turning complex nutritional science into a seamless, user-friendly mobile experience.

What You Will Do

  • Technical Ownership: Take full responsibility for the end-to-end technical development of the Miriel AI app (Frontend/Backend) and our core platform foundations.
  • Bridge Science & Code: Work closely with the CEO and our Strategic Scientific Advisors (Pediatricians & Dietitians) to translate complex clinical requirements into functional product features.
  • AI Integration: Oversee the implementation and refinement of our Nutritional Intelligence Engine, ensuring our AI models are integrated smoothly and securely.
  • Future-Proofing: Define the technical roadmap, manage data privacy/security standards (crucial for HealthTech), and prepare the infrastructure for rapid scaling in the target markets.

The Offer

  • Equity Stake: We want you to think like an owner. You will receive significant equity in the company, sharing directly in our future upside.
  • Flexible/Fractional Structure: We are open to a fractional or part-time arrangement initially, allowing you to transition into the role alongside other commitments.
  • Global Exposure: Be the technical lead of a diverse, international team bridging Korea, the USA, and the Middle East.

Preferred Expertise & Qualifications

  • Full-Stack Builder: Proven experience in mobile app development (Flutter, React Native, or Native) and robust backend architecture. You are not afraid to code.
  • AI/ML Familiarity: Experience (or a strong interest) in integrating LLMs or recommendation engines into consumer applications. Understanding of LLM training, including building our own proprietary models from scratch for specific use cases.
  • Strategic Mindset: You understand that code serves the business. You can prioritize features based on Go-to-Market needs and resource constraints.
  • Communication: Strong proficiency in English is required to collaborate with our global partners and advisors.

If you are ready to build the tech backbone that will modernize family nutrition globally, please DM Alican Yildizalp or apply directly.

  • We are moving fast. We are looking to finalize this partnership immediately to align with our expansion timeline.
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