Ml Model Fine Tuning Jobs in Remote, OR (NOW HIRING)

AI Engineer

OR · Remote

AI Engineer

OR · Remote

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AI Engineer

OR · Remote

AI Agent ML Engineer

OR · Remote

$165K - $190K/yr

Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models. * Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

AI Agent ML Engineer

OR · Remote

$165K - $190K/yr

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Head of Technology, Digital Health Services

OR · On-site +1

Deep experience with AI/ML systems in production - model selection, fine-tuning, evaluation, deployment, and governance * Strong command of modern cloud architecture (AWS, GCP, or Azure), data ...

Head of Technology, Digital Health Services

OR · On-site +1

Head of Technology, Digital Health Services

OR · Remote

Ml Model Fine Tuning Jobs in Remote, OR

Head of Technology, Digital Health Services

OR · Remote

Ml Model Fine Tuning information

See Remote, OR salary details

$10

$69

$143

How much do ml model fine tuning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ml model fine tuning in Remote, OR is $69.26, according to ZipRecruiter salary data. Most workers in this role earn between $56.68 and $76.83 per hour, depending on experience, location, and employer.

What is ML model fine-tuning?

ML model fine-tuning is the process of taking a pre-trained machine learning model and making small adjustments to its parameters using new data relevant to your specific task. This approach allows you to leverage the general knowledge the model has already learned, while adapting it to perform better on your particular dataset or problem. Fine-tuning is common in fields like natural language processing and computer vision, as it saves time and resources compared to training a model from scratch. The process typically involves retraining the last few layers of the model or using a lower learning rate for the entire model.

What are some common challenges faced when fine-tuning machine learning models in a production environment?

One common challenge when fine-tuning ML models in production is ensuring that the updated models generalize well to new, unseen data without overfitting to recent trends or noise. Additionally, coordinating with data engineers and software developers is crucial to maintain data pipelines and model deployment workflows. Managing computational resources and keeping track of model versions for reproducibility can also be complex, especially in fast-paced or large-scale environments. Regular communication with stakeholders is important to align model updates with business objectives and to ensure the smooth integration of improvements.

What are the key skills and qualifications needed to thrive as an ML model fine tuning specialist, and why are they important?

To thrive as an ML Model Fine Tuning Specialist, you need a solid background in machine learning, statistics, programming (often Python), and experience with model training and evaluation. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like Hugging Face Transformers, along with experience in managing GPUs and cloud platforms, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you understand project requirements and collaborate with data scientists and engineers. These skills are crucial for optimizing model performance, ensuring accurate results, and delivering robust AI solutions tailored to specific business needs.

What is the difference between Ml Model Fine Tuning vs Data Scientist?

Aspect	Ml Model Fine Tuning	Data Scientist
Credentials	Knowledge of machine learning frameworks, programming skills	Degree in data science, statistics, or related fields
Work Environment	Focus on model optimization, coding, and experimentation	Data analysis, modeling, and interpretation
Industry Usage	AI/ML development teams, tech companies	Research, analytics, business intelligence

While Ml Model Fine Tuning involves adjusting pre-trained models to improve performance, Data Scientists analyze data, develop models, and interpret results. Fine tuning is a specialized task within the broader scope of a Data Scientist's role, often requiring similar technical skills but focusing more on model optimization.

What are popular job titles related to Ml Model Fine Tuning jobs in Remote, OR?

For Ml Model Fine Tuning jobs in Remote, OR, the most frequently searched job titles are:

Ai Ml Llm

What job categories do people searching Ml Model Fine Tuning jobs in Remote, OR look for?

The top searched job categories for Ml Model Fine Tuning jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ml Model Fine Tuning jobs?

Cities near Remote, OR with the most Ml Model Fine Tuning job openings:

Grants Pass

Ml Model Fine Tuning jobs near you

Infographic showing various Ml Model Fine Tuning job openings in Remote, OR as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 61% In-person, and 39% Remote job distribution, with an average salary of $144,070 per year, or $69.3 per hour.

AI Engineer