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Ai Model Trainer Jobs (NOW HIRING)

We are currently helping hire for one of the leading AI labs (via one of our partners); helping them train their AI models. Have you been curious as to how LLMs generate expert answers and would you ...

Applied AI Engineer

$225K - $275K/yr

Design and build the pipelines that generate synthetic tasks and evaluation environments for AI model training - this is the factory floor of AI development, producing training fuel for next ...

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...

We are currently helping hire for one of the leading AI labs (via one of our partners); helping them train their AI models. Have you been curious as to how LLMs generate expert answers and would you ...

Analyze and preprocess data to ensure its suitability for AI model training and testing. * Stay updated with the latest AI advancements and integrate them into projects as appropriate. * Debug ...

Support data ingestion, processing, and retrieval mechanisms to enable efficient AI model training and inference. Work closely with domain experts to ensure compliance with healthcare regulations and ...

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Ai Model Trainer information

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$25

$43

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:
What states have the most Ai Model Trainer jobs? States with the most job openings for Ai Model Trainer jobs include:
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.

$70 - $90/hr

Part-time

Posted 26 days ago


Job description

This role for one of Weekday's clients.
We are currently helping hire for one of the leading AI labs (via one of our partners); helping them train their AI models.
Have you been curious as to how LLMs generate expert answers and would you like to contribute to their development? There are a bunch of gaps in the understanding of these LLMs in certain key specialised areas (like economics). We require your help in building these models much better (and thereby expansion of human understanding of these fields).
What exactly would do?
You'd be guiding research teams to close knowledge gaps and improve AI model performance in economics domain.
You will be evaluating advanced economics tasks and solutions and provide clear, written feedback
Requirements
Requirements:
Education: PhD in Economics from a top tier university
Work experience: 2+ years of academic experience (research/teaching) or professional experience (scientist, engineer or researcher)
Location: Must be currently based out of the US
Benefits
Benefits
Compensation: $70 to $90 per hour (avg $80 hourly rate)
Time commitment: 20 hours per week commitment (can go to ~40)
Project duration: 4-8 weeks
Flexible, remote work that will have a significant impact on the development of advanced AI models
Async work and communication
Work type: Part-time
Industry: Internet and Artificial Intelligence
You would not be employed full-time and will be paid as an independent contractor.