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Ai Model Trainer Jobs (NOW HIRING)

Merlin Labs

Lead AI Dataloop and Release Engineer

Boston, MA · On-site

$111K - $146K/yr

You are a software leader who thrives in enabling deployment of Next-gen AI models through a comprehensive data strategy for AI model training, simulation and deployment .You have a technically ...

Nvidia

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

Tackle sophisticated AI challenges by applying skills across the AI model lifecycle-from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and ...

Orion Innovation

AI Engineer

Edison, NJ · On-site

... model training and testing. • Stay updated with the latest AI advancements and integrate them into projects as appropriate. • Debug, troubleshoot, and resolve issues in AI solutions during ...

Globe Telecom, Inc.

AI Cloud Engineer

Globe, AZ

$53 - $70.75/hr

AI Integration & Model Deployment * Work closely with AI teams to build and manage cloud-based environments for AI model training, validation, and deployment. * Develop and maintain CI/CD pipelines ...

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Ai Model Trainer information

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How much do ai model trainer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for ai model trainer in the United States is $25.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.81 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.

More about Ai Model Trainer jobs
What cities are hiring for Ai Model Trainer jobs? Cities with the most Ai Model Trainer job openings:
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Ai Model Trainer jobs near you
Infographic showing various Ai Model Trainer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 39% Full Time, 55% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $53,467 per year, or $25.7 per hour.
Senior AI Solution Architect

Senior AI Solution Architect

smart folks inc

Minneapolis, MN • On-site

Full-time

Posted 23 days ago

Job description

Job Title: Senior AI Solution Architect

Location: Minneapolis, MN

Duration: Full-time

15+ years in software engineering, AI/ML solutions, Cloud modernization with strong presentation and customer engagement skills.

Role Overview: As a Senior AI Solution consultant, you will lead the design and implementation of cutting-edge AI solutions across diverse domains. You will collaborate with cross-functional teams to architect scalable, secure, and high-performance AI systems leveraging advanced machine learning, deep learning, and generative AI technologies. Able to work closely with customer to engage and win large AI related business across multiple LOBs.

Key Responsibilities:

  • Customer engagement: Able to connect with customers to understand business need, drive proposal presentation and win the same for Wipro
  • Solution Architecture: Understand and drive high level solutioning for AI systems, including data preprocessing data pipelines, model training, deployment, and integration with enterprise applications.
  • Generative AI & LLMs: Architect high level of solutions using Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG).
  • Performance Optimization: Optimize AI models for speed, scalability, and cost efficiency using frameworks like DeepSpeed, PyTorch Lightning, and Hugging Face Accelerate.
  • Agentic AI: Drive autonomous AI agents leveraging frameworks like AutoGen, LangGraph, and Declarative Copilots.
  • Collaboration: Work with hyperscalers (AWS, Azure, GCP, IBM) to scale solutions from POC to production.
  • Domain Expertise: Deliver AI solutions tailored for healthcare domain.  — This is key

Must have Skills:

  • Programming: Python (expert), OOP, Data Structures & Algorithms
  • Design Patterns and Software Architecture
  • Python Libraries: NumPy, SciPy, Pandas, Matplotlib
  • AI Frameworks: PyTorch (preferred), TensorFlow, Scikit-learn
  • ML/DL fundamentals
  • Microservices, Containers (Docker), basic Kubernetes
  • Tools: Jupyter Notebook, GitHub, GitHub Copilot, JIRA, CI/CD, DevOps
  • Strong problem-solving and debugging skills

Advanced AI Skills:

  • LLM/AI Model Training: DeepSpeed, PyTorch FSDP, Hugging Face PEFT, LoRA/QLoRA
  • Evaluation Metrics for LLMs
  • Distributed Training: Ray (Core, Data, Train, Tune) 
  • PyTorch Ecosystem: PyTorch Lightning, Hugging Face Transformers, Accelerate
  • Additional Frameworks: TensorFlow, Keras, XGBoost
  • Agentic AI Frameworks: AutoGen, LangGraph, Declarative Copilots

Specialties:

  • AI System Design
  • Nvidia CUDA/HPC, Intel OpenVINO/OneAPI 
  • AI Model Performance Optimization
  • Responsible AI

Cloud AI Platforms:

  • AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx 

Top AI Models:

  • Llama, Gemini, GPT, Claude

Qualifications:

  • Bachelor’s/Master’s in Computer Science, AI/ML, or related field
  • Proven experience in architecting enterprise-scale AI solutions
  • Strong leadership and communication skills

Best Regards,

Srinivas

Sr. US IT Recruiter

Email: srinivas@smartfolksinc.com

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About Smart Folks

Sourced by ZipRecruiter

Smart Folks Inc. (SFI) is a global IT Staff Augmentation and Consulting Services that discovers handpicked smart talent and routes them to the right path. Smart Folks Inc. was founded in 2011 and is headquartered in McKinney, Texas. We have global operations with localized detail to meet the high caliber needs of our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

McKinney, TX, US

Year founded

2011

Social media

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