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Senior Ai Model Training Jobs (NOW HIRING)

Spar Information Systems

AI ML Engineer

Bellevue, WA · On-site +1

Senior AI Engineer Privacy Location : Bellevue WA Duration: Long term contract The Senior AI ... AI model training, fine-tuning, and inference. Apply prompt engineering, few-shot learning, and ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems, and inference serving at scale. Full-time, on-site in San Francisco. What you will do * Design and ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems, and inference serving at scale. Full-time, on-site in San Francisco. What you will do * Design and ...

JConnect Infotech

Senior AI/ML Engineer

Woodland Hills, CA

$109K - $150K/yr

Senior AI/ML Engineer This role is for a hands-on Data Science Engineer who will design, build, and ... Machine Learning & Model Training * Training, evaluation, fine-tuning * Tagging and labeling ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... model training/retraining. * Technical Leadership & Collaboration: Partner with cross-functional ...

Booz Allen Hamilton

AI Model SME

Fort George G Meade, MD · Hybrid

$99K - $225K/yr

Experience developing, training, validating , and deploying AI/ML models across cloud, edge, or hybrid environments * Experience with data preprocessing, feature engineering, and exploratory data ...

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Senior Ai Model Training information

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$24.5K

$77.3K

$136.5K

How much do senior ai model training jobs pay per year?

As of Jun 10, 2026, the average yearly pay for senior ai model training in the United States is $77,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Ai Model Training vs Data Scientist?

AspectSenior Ai Model TrainingData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; experience with deep learning frameworksDegree in Data Science, Statistics, or related fields; proficiency in programming and analytics
Work EnvironmentFocus on model development, training, and optimization in AI teamsData analysis, visualization, and insights generation across various projects
Industry UsagePrimarily in AI development, research labs, and tech companiesAcross industries like finance, healthcare, marketing, and tech

While both roles require strong technical skills and programming knowledge, Senior Ai Model Training specialists focus on developing and refining AI models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ mainly in their core responsibilities and focus areas.

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What are the most commonly searched types of Ai Model Training jobs? The most popular types of Ai Model Training jobs are:
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Senior Ai Model Training jobs near you

Sr. AI Architect

Accord Technologies Inc.

Charlotte, NC • On-site

Contractor

Posted 13 days ago

Job description

Title: Sr. AI Architect
Location: Charlotte, NC
Hybrid 3 days a week from office.
Duration; long term
Position type: W2 contract.
 

Mandatory skills: AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years

Job Description:  

  • Define and drive the AI/ML architecture and roadmap, including traditional ML and Generative AI (GenAI) use cases.
  • Design end-to-end AI solutions including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
  • Lead the integration of Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) frameworks using tools such as LangChain, LangGraph, or similar.
  • Collaborate with stakeholders to translate business requirements into AI-driven technical solutions.
  • Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries for specific use cases.
  • Ensure model governance, security, explainability, and compliance with ethical AI practices and regulatory requirements.
  • Guide engineering teams in the implementation of AI components, ensuring scalability, reliability, and performance.
  • Work with DevOps teams to enable CI/CD for AI pipelines, including model versioning and A/B testing.
  • Stay current with industry trends, research, and advancements in AI and recommend best practices for adoption.