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Nights Machine Learning Trainer Jobs in Racine, WI

The Sort Center Learning Trainer works with Operations Managers, Area Managers, Process Assistants ... nights, and/or holidays - Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours ...

Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Develop and implement statistical and machine learning models to solve business problems within a ... training opportunities * Additional tasks may be assigned Addendum DECISION SCIENCE ...

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Experience optimizing models for GPU / distributed training * Familiarity with large-scale datasets ...

Previous machine operating experience. * Ability to operate various manufacturing equipment, follow ... Comprehensive training with numerous learning and development opportunities. * A career with a ...

Previous machine operating experience. * Ability to operate various manufacturing equipment, follow ... Comprehensive training with numerous learning and development opportunities. * A career with a ...

Develop and train machine learning models to solve problems such as prediction, classification, and ... and training; licensure and certifications; and other business and organizational needs. The ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

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Nights Machine Learning Trainer information

See Racine, WI salary details

$26.3K

$81.9K

$105.5K

How much do nights machine learning trainer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for nights machine learning trainer in Racine, WI is $81,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $104,100.00 per year, depending on experience, location, and employer.

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.

What is the difference between Nights Machine Learning Trainer vs Nights Data Scientist?

AspectNights Machine Learning TrainerNights Data Scientist
Required CredentialsBachelor's in CS, ML certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentTraining sessions, workshops, online platformsData analysis, modeling, research
Employer & Industry UsageTech companies, training providersTech 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 popular job titles related to Nights Machine Learning Trainer jobs in Racine, WI? For Nights Machine Learning Trainer jobs in Racine, WI, the most frequently searched job titles are:
What job categories do people searching Nights Machine Learning Trainer jobs in Racine, WI look for? The top searched job categories for Nights Machine Learning Trainer jobs in Racine, WI are:
Learning Trainer, MKE6 Learning Team

Learning Trainer, MKE6 Learning Team

Amazon

Waukegan, IL • On-site

Full-time

Medical, Retirement

Posted 15 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,811 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

The Sort Center Learning Trainer works with Operations Managers, Area Managers, Process Assistants and Associates. They constantly improve the long-term capabilities of the area to which they are assigned. The ideal candidate will measure production quality and quantity and applies learning tools to improve both. Maintains expert-level knowledge in at least two production departments; evaluates and improves processes within work areas; refines learning tools and techniques across the Sort Center; assists in measuring the effectiveness of learning; measures impact of their 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.
Key job responsibilities
• Comfortable talking in front of a group as well as one-on-one with an individual
• Able to give and receive feedback effectively
• Can drive understanding (i.e. using visual aids, able to recognize when a group or individual is lost and needs more attention)
• Always meets time commitments and deadlines, is goal oriented
• Checks and tests for understanding
• Gives insight to area managers
• Works hard for the success of others, constantly remains "customer obsessed"
• Demonstrates a positive "can do" demeanor and has fun and gains energy from working with others
• Is an active listener
• Demonstrated ability to consistently function at 100% of expectations
• Understands upstream and downstream variances
• Is able to use resources to expand knowledge and can answer tough questions
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
- Prior training, teaching or presentation experience
- Willingness to work different shifts
- Shift hours for this position may be different from the standard production shifts
- Willingness to work in different areas as required by training needs
- Excellent attendance
- Candidates must be very organized and able to handle multiple and changing projects/priorities
- 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, IL, Waukegan - 25.00 - 25.00 USD hourly

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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