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Ai Model Trainer Jobs in Raleigh, NC (NOW HIRING)

RIT Solutions, Inc.

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

... AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems. • Automate operational tasks using AWS Lambda, Systems Manager (SSM), and ...

Nvidia

Senior System Simulation Architect

Durham, NC · On-site

The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and ...

Nvidia

Senior System Simulation Architect

Durham, NC · On-site

The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

Architect enhancements required for efficient training of AI models * Design and architecture of: * Flexible Computational Blocks * Involving a variety of datatypes : floating point, fixed point ...

Exclusive Jets

AI Software Developer

Raleigh, NC · On-site

$100 - $130/hr

Hands‑on experience building, training, evaluating, and deploying machine‑learning / AI models in production, including comfort with the Python ML stack (e.g., scikit‑learn, PyTorch, or similar ...

Verizon

Principal AI Red Team Operator

Cary, NC · On-site

... training or education (non-collegiate). * Experience conducting AI evaluations or developing AI ... Strong understanding of AI model architectures and development. * Strong understanding of ...

micro1 AI

AI Training Specialist - Chemistry

Cary, NC · Remote

$70 - $90/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Durham, NC · Remote

$70 - $90/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Raleigh, NC · Remote

$70 - $90/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

flyExclusive

AI Software Developer

Raleigh, NC · On-site

... training, evaluating, and deploying machine-learning / AI models in production, including comfort with the Python ML stack (e.g., scikit-learn, PyTorch, or similar) and taking models from prototype ...

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All JobsAi Model Trainer JobsAi Model Trainer Jobs in Raleigh, NC

Ai Model Trainer information

See Raleigh, NC salary details

$11

$24

$42

How much do ai model trainer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai model trainer in Raleigh, NC is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $28.99 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

What are the key skills and qualifications needed to thrive as an AI model trainer, and why are they important?

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

What are popular job titles related to Ai Model Trainer jobs in Raleigh, NC?

For Ai Model Trainer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Model Trainer jobs in Raleigh, NC look for?

The top searched job categories for Ai Model Trainer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Model Trainer jobs?

Cities near Raleigh, NC with the most Ai Model Trainer job openings:

Ai Model Trainer jobs near you
Infographic showing various Ai Model Trainer job openings in Raleigh, NC as of August 2026, with employment types broken down into 60% Full Time, 30% Part Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $51,972 per year, or $25 per hour.

Cloud Platform Engineer

RIT Solutions, Inc.

Durham, NC • On-site

$53.75 - $72/hr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
RIT Solutions, Inc. is a company that specializes in cloud solutions, and they are seeking a Cloud Platform Engineer to enhance their AI/ML capabilities. The role involves monitoring system performance, developing and deploying AI solutions on AWS, and maintaining scalable data processing workflows.
Responsibilities:
• Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
• Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform.
• Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
• Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
• Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications.
• Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes.
• Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.
• Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks.
Qualifications:
Required:
• Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
• Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform.
• Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
• Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
• Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications.
• Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes.
• Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.
• Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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