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Ai Model Trainer Job Jobs (NOW HIRING)

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 ...

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 ...

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 ...

... 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 ...

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 Job information

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$13

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$36

How much do ai model trainer job jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for ai model trainer job in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

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

AspectAi Model Trainer JobData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, or related fields; programming skills in Python/R
Work EnvironmentTech companies, AI startups, research labs; focus on model development and trainingBusiness and research settings; data analysis, modeling, and insights generation
Employer & Industry UsageAI development firms, tech giants, research institutionsFinance, healthcare, marketing, tech industries

While both roles involve working with data and machine learning, Ai Model Trainers primarily focus on training and fine-tuning AI models, whereas Data Scientists analyze data to generate insights and develop models. The roles often overlap but differ in their core responsibilities and focus areas.

More about Ai Model Trainer Job jobs
What cities are hiring for Ai Model Trainer Job jobs? Cities with the most Ai Model Trainer Job job openings:
What states have the most Ai Model Trainer Job jobs? States with the most job openings for Ai Model Trainer Job jobs include:
Infographic showing various Ai Model Trainer Job job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.
Senior AI Solution Architect

Senior AI Solution Architect

smart folks inc

Minneapolis, MN • On-site

Full-time

Posted 22 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


Smart Folks logo

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

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