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Ai Model Trainer Jobs (NOW HIRING)

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 ...

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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 23, 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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $53,467 per year, or $25.7 per hour.

AI Model Risk Validation Specialist

The Mutual Group

New York, NY • Hybrid

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Department:

Information Technology

Job Description:

Serve as the independent validator of AI Systems, responsible for technical assessment, model risk evaluation, and ongoing monitoring of AI/ML models across The Mutual Group and its member insurance carriers.

This is a highly hands-on individual contributor role focused exclusively on AI Systems, with emphasis on predictive models impacting underwriting, claims, and decision-making. The role supports the AIS Program by providing objective, technical validation input into governance and approval decisions.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Model Validation (Core Responsibility)

  • Perform independent validation of AI/ML models, including:

    • Model design, methodology, and assumptions

    • Training and test data quality and representativeness

    • Performance metrics, thresholds, and benchmarking

  • Review vendor-provided FactSheets and technical documentation for completeness and accuracy

Risk Assessment

  • Evaluate key model risks, including:

    • Bias and fairness

    • Explainability and interpretability

    • Model limitations and edge cases

  • Assess alignment with:

    • NAIC expectations

    • Model risk management practices

  • Identify gaps and recommend risk mitigation strategies

Governance Integration

  • Provide independent validation input into AI governance decisions

  • Support the AIS / Security Governance Team by contributing technical risk perspectives during AI system reviews

  • Act as a second-line reviewer to challenge assumptions and strengthen decision-making

Ongoing Monitoring

  • Lead twice-annual validation of AI Systems

  • Monitor predictive models for:

    • Drift

    • Stability

    • Performance degradation

  • Ensure monitoring practices align with AIS Program requirements

  • Recommend corrective actions when performance or risk thresholds are breached

Documentation & Audit Support

  • Maintain model validation documentation for:

    • Internal audit

    • Regulatory review

  • Ensure validation results are:

    • Clearly documented

    • Traceable and reproducible

  • Support inquiries with technical analysis and evidence

Qualifications:

  • 5+ years in data science, model risk management, or AI/ML validation

  • Experience working with predictive models in regulated environments (insurance or financial services preferred)

  • Strong understanding of:

    • Machine learning models and statistical techniques

    • Model evaluation and validation methodologies

    • Bias and fairness concepts

    • Model lifecycle management

  • Familiarity with:

    • NAIC AI Model Bulletin

    • NIST AI RMF

    • Model governance and validation standards

  • Ability to translate technical findings into business and risk implications

Pay Range:

Anticipated Hiring Range:

  • $100,000 - $135,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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