Learning Trainer
Antioch, TN · On-site
The RAD1 Learning Trainer works with Operations Managers, Area Managers, IT Managers, Production ... nights, and/or holidays - Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours ...
Learning Trainer
Antioch, TN · On-site
The RAD1 Learning Trainer works with Operations Managers, Area Managers, IT Managers, Production ... nights, and/or holidays - Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours ...
Learning Trainer
Santa Ana, CA · On-site
The Learning Trainer works with Operations Managers, Area Managers, Production Assistants, Delivery ... nights, and/or holidays - Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours ...
Learning Trainer
Santa Ana, CA · On-site
The Learning Trainer works with Operations Managers, Area Managers, Production Assistants, Delivery ... nights, and/or holidays - Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours ...
Machine Learning Engineer
New York, NY · On-site
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
Machine Learning Engineer
New York, NY · On-site
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
Machine Learning Engineer
Seattle, WA · Remote
Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...
Machine Learning Engineer
Seattle, WA · Remote
Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...
... training, alongside world-class researchers, data scientists, and engineers, tackling the most ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Quick apply
... training, alongside world-class researchers, data scientists, and engineers, tackling the most ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Machine Learning
$220K - $331K/yr
Overview As a Member of Technical Staff - Machine Learning, you will work to create LLM models for ... You should be comfortable creating Reinforcement Learning data, fine tuning, or training ...
New
Machine Learning
$220K - $331K/yr
Overview As a Member of Technical Staff - Machine Learning, you will work to create LLM models for ... You should be comfortable creating Reinforcement Learning data, fine tuning, or training ...
New
Machine Learning Engineer
Denver, CO · Remote
$50 - $70/hr
Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Machine Learning Engineer
Denver, CO · Remote
$50 - $70/hr
Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Machine Learning Engineer - Expert - AI Trainer
San Francisco, CA · On-site +1
$90/hr
Machine Learning Engineer Expert Type: Contract Compensation: $90/hour Location: Remote Role Responsibilities * Develop end-to-end machine learning solutions for challenging prediction and modeling ...
Quick apply
Machine Learning Engineer - Expert - AI Trainer
San Francisco, CA · On-site +1
$90/hr
Machine Learning Engineer Expert Type: Contract Compensation: $90/hour Location: Remote Role Responsibilities * Develop end-to-end machine learning solutions for challenging prediction and modeling ...
Machine Learning
Mountain View, CA · On-site
$220K - $331K/yr
Overview As a Member of Technical Staff - Machine Learning, you will work to create LLM models for ... You should be comfortable creating Reinforcement Learning data, fine tuning, or training ...
Machine Learning
Mountain View, CA · On-site
$220K - $331K/yr
Overview As a Member of Technical Staff - Machine Learning, you will work to create LLM models for ... You should be comfortable creating Reinforcement Learning data, fine tuning, or training ...
Machine Learning Engineer
Boston, MA · On-site
... training materials. Qualifications : Required : • PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience • ...
Machine Learning Engineer
Boston, MA · On-site
... training materials. Qualifications : Required : • PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience • ...
Machine Learning Engineer
Austin, TX · On-site
Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Machine Learning Engineer
Austin, TX · On-site
Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Machine Learning Engineer
Herndon, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Machine Learning Engineer
Herndon, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Machine Learning Engineer
Huntsville, AL · On-site
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a ...
Machine Learning Engineer
Huntsville, AL · On-site
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a ...
Machine Learning Engineer
Chantilly, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Machine Learning Engineer
Chantilly, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Machine Learning Engineer
Huntsville, AL · On-site
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a ...
Machine Learning Engineer
Huntsville, AL · On-site
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a ...
Key Responsibilities: - Design and implement machine learning models and algorithms to solve business problems - Collaborate with data scientists to gather and preprocess data for model training and ...
Key Responsibilities: - Design and implement machine learning models and algorithms to solve business problems - Collaborate with data scientists to gather and preprocess data for model training and ...
Machine Learning Engineer
Detroit, MI · On-site
Implementation and Training of Appropriate Models from Literature. * Characterization of Error in Models. * Iterative Optimization of Models. * On the engineering side of development, the Machine ...
Machine Learning Engineer
Detroit, MI · On-site
Implementation and Training of Appropriate Models from Literature. * Characterization of Error in Models. * Iterative Optimization of Models. * On the engineering side of development, the Machine ...
Machine Learning Engineer
Huntsville, AL · On-site
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a ...
Quick apply
Machine Learning Engineer
Huntsville, AL · On-site
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a ...
Machine Learning Engineer
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Engineer
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Nights Machine Learning Trainer information
See salary details
$28K - $35.7K
7% of jobs
$35.7K - $43.4K
6% of jobs
$43.4K - $51K
6% of jobs
$57.1K is the 25th percentile. Wages below this are outliers.
$51K - $58.7K
6% of jobs
$58.7K - $66.4K
7% of jobs
$66.4K - $74.1K
5% of jobs
$74.1K - $81.8K
4% of jobs
$81.8K - $89.5K
2% of jobs
$89.5K - $97.1K
1% of jobs
$97.1K - $104.8K
3% of jobs
The median wage is $104.9K / yr.
$104.8K - $112.5K
51% of jobs
$28K
$87.3K
$112.5K
How much do nights machine learning trainer jobs pay per year?
As of Jun 9, 2026, the average yearly pay for nights machine learning trainer in the United States is $87,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $111,000.00 per year, depending on experience, location, and employer.
What is the difference between Nights Machine Learning Trainer vs Nights Data Scientist?
| Aspect | Nights Machine Learning Trainer | Nights Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, ML certifications | Bachelor's/Master's in CS, Data Science certifications |
| Work Environment | Training sessions, workshops, online platforms | Data analysis, modeling, research |
| Employer & Industry Usage | Tech companies, training providers | Tech firms, finance, healthcare |
While both roles involve working with machine learning, Nights Machine Learning Trainers focus on educating and training others in ML techniques, often in workshops or online courses. Nights Data Scientists analyze data, develop models, and derive insights. The trainer role emphasizes teaching skills, whereas the data scientist role emphasizes hands-on data analysis and model development.
What are the key skills and qualifications needed to thrive as a Nights Machine Learning Trainer, and why are they important?
To thrive as a Nights Machine Learning Trainer, you need a strong background in machine learning principles, data analysis, and model evaluation, typically supported by a degree in computer science or a related field. Familiarity with Python, TensorFlow or PyTorch, and experience using ML training frameworks and data pipeline systems are essential. Excellent communication, adaptability to night-shift schedules, and problem-solving abilities are crucial soft skills for effective knowledge transfer and team collaboration. These skills ensure efficient model development, clear instruction during off-peak hours, and successful project outcomes in a dynamic work environment.
What are some typical challenges faced by a Nights Machine Learning Trainer and how can they be managed?
Nights Machine Learning Trainers often face challenges related to working outside standard business hours, such as limited real-time collaboration with daytime teams and adjusting to a nocturnal schedule. Managing these challenges usually involves clear communication practices, thorough handover documentation, and leveraging asynchronous tools to stay connected with colleagues. Additionally, maintaining a healthy work-life balance and prioritizing self-care are essential for sustained productivity on the night shift. Embracing these strategies can help trainers deliver effective machine learning instruction and support, even during less conventional hours.
What are Nights Machine Learning Trainers?
Nights Machine Learning Trainers are professionals who work overnight shifts to train and optimize machine learning models. Their role involves preparing datasets, setting up training processes, monitoring model performance, and making adjustments as needed. By working during nighttime hours, they ensure that machine learning systems can be developed and improved around the clock, often taking advantage of off-peak computing resources. This position is common in industries where continuous model development is critical, such as tech companies, research labs, and data-driven organizations.
More about Nights Machine Learning Trainer jobs
What cities are hiring for Nights Machine Learning Trainer jobs? Cities with the most Nights Machine Learning Trainer job openings:
What are the most commonly searched types of Machine Learning Trainer jobs? The most popular types of Machine Learning Trainer jobs are:
What states have the most Nights Machine Learning Trainer jobs? States with the most job openings for Nights Machine Learning Trainer jobs include:
What job categories do people searching Nights Machine Learning Trainer jobs look for? The top searched job categories for Nights Machine Learning Trainer jobs are:
Full-time
Medical, Retirement
This job post has expired today. Applications are no longer accepted.
Amazon rating
7.4
Based on 6,828 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The RAD1 Learning Trainer works with Operations Managers, Area Managers, IT Managers, Production Assistants, and Associates to coordinate all training related activities for the site. The individual in this position will provide facilitation, administrative management, and expected to constantly improve the long-term capabilities of the area to which they are assigned.
Key job responsibilities
The ideal candidate will measure production quality/quantity and applies learning tools to improve both. Evaluates and improves processes within work areas; refines learning tools and techniques across the building; assists in measuring the effectiveness of learning; measures impact of his/her development efforts; improves associates' job-related skills; develops, maintains and applies learning tools (methods, checklists and skill building agreements) to encourage associate development. Identifies areas for associate cross training and support and implements the training to support the objective; supports the updating of SOPs and SOP certification of associates and managers; assists in driving success of peak and non-peak training plans.
A day in the life
A day in the life of a Learning Trainer starts on the floor - working alongside associates in various process paths, observing performance, and identifying skill gaps. They deliver hands-on training for PIT operations, TDR, and process path procedures while supporting Learning Ambassadors with approved materials. Throughout the shift, they conduct audits, update training records using electronic tools, and ensure SOP compliance. They give and receive feedback in real time, check for understanding, and remove barriers to associate success. They close the day by reporting insights to area managers and contributing to continuous improvement through PDCA and Kaizen activities.
About the team
Rapid Asset Deployment (RAD) - RAD1 - is part of Global RAD Operations (GRO) delivering IT equipment accurately and on time through standardized operations - from receiving and warehousing to assembly, provisioning, and shipping. Guided by tenets of safety, speed, quality, and inclusion, the NA team supports Amazon businesses with the right equipment at the right place and time. GRO's Learning & Development function drives onboarding, process training, and safety programs across all sites, empowering associates and managers to grow within supply chain, operations, and IT career paths.
BASIC QUALIFICATIONS
- 1+ years of Microsoft Office products and applications experience
- High school or equivalent
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
- Work 40 hours/week, and overtime as required
PREFERRED QUALIFICATIONS
- Willingness to participate in and support the Operational Excellence initiatives
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, TN, Antioch - 23.00 - 24.00 USD hourly
Key job responsibilities
The ideal candidate will measure production quality/quantity and applies learning tools to improve both. Evaluates and improves processes within work areas; refines learning tools and techniques across the building; assists in measuring the effectiveness of learning; measures impact of his/her development efforts; improves associates' job-related skills; develops, maintains and applies learning tools (methods, checklists and skill building agreements) to encourage associate development. Identifies areas for associate cross training and support and implements the training to support the objective; supports the updating of SOPs and SOP certification of associates and managers; assists in driving success of peak and non-peak training plans.
A day in the life
A day in the life of a Learning Trainer starts on the floor - working alongside associates in various process paths, observing performance, and identifying skill gaps. They deliver hands-on training for PIT operations, TDR, and process path procedures while supporting Learning Ambassadors with approved materials. Throughout the shift, they conduct audits, update training records using electronic tools, and ensure SOP compliance. They give and receive feedback in real time, check for understanding, and remove barriers to associate success. They close the day by reporting insights to area managers and contributing to continuous improvement through PDCA and Kaizen activities.
About the team
Rapid Asset Deployment (RAD) - RAD1 - is part of Global RAD Operations (GRO) delivering IT equipment accurately and on time through standardized operations - from receiving and warehousing to assembly, provisioning, and shipping. Guided by tenets of safety, speed, quality, and inclusion, the NA team supports Amazon businesses with the right equipment at the right place and time. GRO's Learning & Development function drives onboarding, process training, and safety programs across all sites, empowering associates and managers to grow within supply chain, operations, and IT career paths.
BASIC QUALIFICATIONS
- 1+ years of Microsoft Office products and applications experience
- High school or equivalent
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
- Work 40 hours/week, and overtime as required
PREFERRED QUALIFICATIONS
- Willingness to participate in and support the Operational Excellence initiatives
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, TN, Antioch - 23.00 - 24.00 USD hourly
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US