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Llm Fine Tune Model Jobs (NOW HIRING)

Ignite Digital

Mid Data Scientist

Washington, DC · Hybrid

Key Responsibilities: * Independently build, train, and fine-tune AI/ML models. * Apply data ... Experience with NLP, LLM, or GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning). * Hands-on ...

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Photon

GEN AI Architect - New Jersey

Somerville, NJ · On-site

$65.25 - $84/hr

Fine-tune models for performance and efficiency. * Troubleshooting: Address and resolve issues related to generative AI models and implementations. * Documentation: Create and maintain comprehensive ...

Photon

GEN AI/ML Developer - Jersey

Somerville, NJ

Fine-tune models for performance and efficiency. * Troubleshooting: Address and resolve issues related to generative AI models and implementations. * Documentation: Create and maintain comprehensive ...

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Llm Fine Tune Model information

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How much do llm fine tune model jobs pay per year?

As of Jul 24, 2026, the average yearly pay for llm fine tune model in the United States is $166,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,000.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Llm Fine Tune Model vs Data Scientist?

AspectLlm Fine Tune ModelData Scientist
Required CredentialsKnowledge of machine learning, NLP, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development teams, research labsBusiness, research, analytics teams
Industry UsageAI, tech companies, startupsFinance, healthcare, marketing, tech

The main difference is that an Llm Fine Tune Model focuses on customizing large language models for specific tasks, while a Data Scientist analyzes data to generate insights and build models. Both roles require programming and analytical skills, but their applications and focus areas differ significantly.

Which 3 jobs will survive AI?

Llm Fine Tune Model professionals, such as AI specialists and data scientists, are likely to continue working as AI systems require ongoing development, customization, and oversight. Jobs that involve complex problem-solving, emotional intelligence, and creative thinking, like healthcare providers and educators, are also expected to persist despite AI advancements.

What is a $900000 AI job?

A $900,000 AI job typically refers to highly senior roles in artificial intelligence, such as lead AI engineers, research directors, or chief AI officers, often involving advanced skills in machine learning, deep learning, and large language models. These positions usually require extensive experience, specialized knowledge, and may include responsibilities like overseeing AI strategy, development, and deployment at large organizations or tech companies.

What are the key skills and qualifications needed to thrive as an LLM Fine-Tune Model Engineer, and why are they important?

To thrive as an LLM Fine-Tune Model Engineer, you need a strong background in machine learning, natural language processing, and programming (typically Python), often supported by a degree in computer science or related fields. Experience with deep learning frameworks (such as PyTorch or TensorFlow), model evaluation tools, and familiarity with cloud platforms or MLOps tools is essential. Analytical thinking, attention to detail, and effective communication help in troubleshooting, interpreting results, and collaborating with cross-functional teams. These skills ensure the development of robust, accurate, and scalable language models tailored to specific business needs.

What is an LLM fine-tune model?

An LLM fine-tune model refers to a large language model (LLM) that has been further trained on a specific dataset to specialize in certain tasks or domains. Fine-tuning allows organizations or individuals to adapt a general-purpose LLM, such as GPT or BERT, to better understand and respond to domain-specific language, requirements, or user needs. This process improves the model's accuracy, relevance, and usefulness for specialized applications. Fine-tuning typically involves using transfer learning techniques and requires a curated dataset for the desired task.

Which LLM is best for fine-tuning?

For a job involving fine-tuning language models, popular choices include OpenAI's GPT-3.5 and GPT-4, as well as open-source models like LLaMA, GPT-J, and GPT-NeoX, which can be customized with additional training. The best model depends on the specific use case, available computational resources, and licensing requirements, with many professionals using frameworks like Hugging Face Transformers for fine-tuning tasks.

What are some common challenges faced when fine-tuning large language models (LLMs) in a professional setting?

Fine-tuning large language models often involves handling vast datasets, ensuring data privacy, and balancing computational resource constraints. Professionals in this role must troubleshoot issues related to overfitting, bias in training data, and model drift. Collaboration with data engineers, domain experts, and MLOps teams is crucial to ensure the model meets specific business needs while maintaining ethical and performance standards.

What jobs make $3,000 a day?

High-paying jobs related to fine-tuning large language models (LLMs) typically include AI research scientists, machine learning engineers, and data science consultants working on advanced AI projects. These roles often require specialized skills in deep learning, programming, and cloud computing, and they may be found in tech companies, consulting firms, or as freelance experts. Earning $3,000 a day usually involves senior-level positions, consulting contracts, or project-based work with significant expertise and experience.
Infographic showing various Llm Fine Tune Model job openings in the United States as of July 2026, with employment types broken down into 7% Internship, 66% Full Time, and 27% Contract. Highlights an 66% In-person, 7% Hybrid, and 27% Remote job distribution, with an average salary of $166,249 per year, or $79.9 per hour.
GenAI Engineer - LLM Fine-Tuning | Python | AWS

GenAI Engineer - LLM Fine-Tuning | Python | AWS

Mastech Digital

Dallas, TX • Remote

$81 - $100/hr

Full-time, Contractor

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a GenAI Engineer – LLM Fine-Tuning| Python| AWS for our client in the Consulting domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately.

Duration: 12 Months Contract

Location: Remote – Dallas, TX 75032

Salary: $81.00-$100.00/Hourly

Role: GenAI Engineer – LLM Fine-Tuning| Python| AWS

Primary Skills: Machine Learning

Role Description: The GenAI Engineer must have 10+ years of experience. For this role, you must be a highly skilled and hands-on NLP & GenAI Engineer with expertise in fine-tuning state-of-the-art language models such as LLAMA and BERT.

The ideal candidate should have a strong background in Python programming, Text Analytics, OCR, and AWS cloud services. You will be responsible for designing, developing, and optimizing scalable NLP solutions, especially focused on model adaptation and deployment.

Key Responsibilities:

- Fine-tune and customize pre-trained LLMs (e.g., LLAMA, BERT) for domain-specific applications.

- Develop and maintain end-to-end NLP pipelines for tasks like text classification, summarization, and entity extraction.

- Work with OCR tools to extract and analyze text from documents/images.

- Apply Text Analytics techniques to derive insights from unstructured data.

- Build and deploy models using AWS services (S3, EC2, SageMaker, Lambda, etc.).

- Optimize inference performance and memory efficiency of large language models.

- Collaborate with Data Scientists and Engineers to integrate models into production systems.

- Stay up to date with the latest research in GenAI, NLP, and ML.

Required Skills:

- Strong hands-on programming in Python for NLP and ML workflows.

- Proven experience with LLMs (LLAMA, BERT, or similar) and fine-tuning techniques.

- Proficiency in Text Analytics, NLP libraries (spaCy, HuggingFace Transformers, NLTK).

- Experience with OCR tools like Tesseract, Google Vision API, or AWS Textract.

- Solid understanding of AWS ecosystem for ML deployment and orchestration.

- Familiarity with model evaluation, prompt engineering, and vector stores is a plus

Education: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent

Experience: Minimum 10+ years of experience

Relocation: This position will not cover relocation expenses

Travel: No

Local Preferred: Yes

Note: Must be able to work on a W2 basis (No C2C)

Recruiter Name: Gaurav Bhadana

Recruiter Phone: 215-967-4284

Benefits:

We have various coverages and additional benefits to choose from:

- Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll).

- Paid Leaves (Wherever applicable).

- Life & Disability Coverage (Upon eligibility).

- 401K Option, Education Assistance Program and more.

Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status