AI Model Trainer Jobs
AI Model Trainer jobs are open across tech companies, AI research labs, and enterprise software firms, with specializations in data annotation, RLHF, and prompt evaluation, from entry-level contract roles to senior full-time positions. See the openings below and apply to the ones that match your experience.
Find AI Model Trainer JobsLooking for remote work? View remote AI model trainer jobs →Overview
Showing 5 of 1,014+ AI Model Trainer jobs
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
We’re looking for a sharp quantitative analyst who’s adept at advanced AI/ML algorithms to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank’s Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
As a Quant you will develop benchmark AI/ML models, perform activities related to AI/ML model development and model review, including model development, algorithm selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.
Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.
Basic Qualifications
- Bachelor’s degree in a quantitative field required with at least 5 years of relevant experience
OR
- MA/MS in a quantitative field, and 3 or more years of related experience
- PhD in a quantitative field, and less than 2 years of related experience
Preferred Skills/Experience
- Strong statistical modeling or computer science background and hands on model development skills
- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.
- Experience with building complex deep learning architectures such as MLPs, RNNs, CNNs and Generative AI frameworks such as RAG and Agentic AI.
- Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn.
- Hands on experience with deep learning or LLM software frameworks such as PyTorch, Tensorflow/Keras, MXNet, LangChain and Llamaindex are strongly preferred
- Research experience and publications on AI or Gen AI are preferred
- Experience in financial industry is preferred but not required
- Advanced understanding of Model Risk Management and OCC SR 11-7 is a plus
- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills
LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
We’re looking for a sharp quantitative analyst who’s adept at advanced AI/ML algorithms to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank’s Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
As a Quant you will develop benchmark AI/ML models, perform activities related to AI/ML model development and model review, including model development, algorithm selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.
Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.
Basic Qualifications
- Bachelor’s degree in a quantitative field required with at least 5 years of relevant experience
OR
- MA/MS in a quantitative field, and 3 or more years of related experience
- PhD in a quantitative field, and less than 2 years of related experience
Preferred Skills/Experience
- Strong statistical modeling or computer science background and hands on model development skills
- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.
- Experience with building complex deep learning architectures such as MLPs, RNNs, CNNs and Generative AI frameworks such as RAG and Agentic AI.
- Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn.
- Hands on experience with deep learning or LLM software frameworks such as PyTorch, Tensorflow/Keras, MXNet, LangChain and Llamaindex are strongly preferred
- Research experience and publications on AI or Gen AI are preferred
- Experience in financial industry is preferred but not required
- Advanced understanding of Model Risk Management and OCC SR 11-7 is a plus
- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills
LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
See All 1,014+ AI Model Trainer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Model Trainer JobsAI Model Trainer Job Market
Who's Hiring
- Booz Allen Hamilton39
- Tesla38
- ByteDance20
- Apple19
- Meta15
Top Industries Hiring
- Technology & Software20
- Banking & Financial Services12
- Education8
- Healthcare & Medical Services8
- Investment & Asset Management6
What Employers Look For
The qualifications that appear most often in AI model trainer jobs.
- Experience with data annotation, labeling, or content evaluation tasks
- Familiarity with RLHF, preference ranking, or reinforcement learning workflows
- Strong written communication skills and subject-matter expertise in at least one domain
- Ability to follow detailed annotation guidelines consistently and accurately
- Bachelor's degree or equivalent experience in a relevant field such as linguistics, computer science, or a domain specialty
- Comfort working with annotation platforms, internal tooling, or spreadsheet-based evaluation workflows
Tips for Your AI Model Trainer Job Search
Tailor your resume to annotation workflows
Highlight specific annotation tasks you've completed, such as ranking model outputs, writing preference data, or labeling edge cases. Vague claims about 'AI experience' won't stand out. Name the task types and domains you worked in, like coding, reasoning, or creative writing.
Apply early to roles that fit
Migrate Mate lists ai model trainer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Show output quality, not just volume
Many ai model trainer postings screen for judgment and consistency, not just speed. If you've maintained high inter-annotator agreement scores or passed quality audits, mention that explicitly. Hiring teams for RLHF roles care more about calibration than throughput.
Target postings by domain specialty
AI model trainer roles are often scoped to a subject area, such as medical text, legal reasoning, or software code. Search by your domain rather than the generic title alone. A coding-focused role requires different examples than a conversational AI or creative writing project.
Prepare a sample annotation to bring to interviews
Some hiring teams run a live annotation task during the interview or immediately after. Practicing preference ranking on published model outputs, then explaining your reasoning out loud, is the most direct way to prepare for that stage.
Negotiate rate before the trial project begins
Many ai model trainer contracts start with an unpaid or low-paid trial task. Confirm compensation terms, ownership of your outputs, and expected hours before you begin. Getting clarity upfront prevents mismatched expectations after you've already invested time.
AI Model Trainer Jobs: Frequently Asked Questions
Which companies are hiring the most ai model trainers?
The most active employers for ai model trainers right now are Booz Allen Hamilton, Tesla, and ByteDance, and the most openings are in California, Virginia, and New York, based on current listings on Migrate Mate as of November 2026. Contract and project-based roles make up a significant share of active postings.
How many ai model trainer jobs are remote?
About 60% of ai model trainer openings are fully remote or hybrid as of November 2026, reflecting how central remote work is to this role across the industry. Annotation, preference ranking, and prompt evaluation tasks are the most consistently remote, while roles involving model evaluation labs or in-person research teams are more likely to require on-site presence.
How do you become an ai model trainer?
Start by developing strong written communication skills and expertise in at least one domain, such as coding, law, medicine, or creative writing. Next, complete publicly available annotation practice tasks or freelance projects to build a portfolio of real work. From there, apply to entry-level contract roles, demonstrate consistent output quality, and use that experience to move into more senior or specialized positions.
Can you get an ai model trainer job with little or no experience?
Yes, many ai model trainer roles are specifically designed for people entering the field, particularly contract and project-based annotation positions. The most effective way to get hired without prior experience is to demonstrate strong judgment in your domain, follow guidelines precisely, and produce a sample annotation task that shows your reasoning process. Domain expertise, such as a background in writing, coding, or a technical field, often matters more than prior AI work.
What does the ai model trainer interview process look like?
Most ai model trainer hiring processes begin with a short written screening, often asking you to evaluate or rank a set of model outputs according to a provided rubric. This is followed by a structured interview focused on your reasoning process and domain knowledge. Some roles include a paid or unpaid trial annotation task before a final offer is made. The emphasis throughout is on consistency, attention to detail, and your ability to articulate why one output is better than another.
Where can I find and apply to ai model trainer jobs?
You can find and apply to ai model trainer jobs on Migrate Mate, which lists current openings from companies across the United States. Search for roles that match your domain specialty and experience level, then apply directly to each listing. New openings are added regularly, so checking back frequently gives you access to the latest postings before they fill.
See All 1,014+ AI Model Trainer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Model Trainer Jobs