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Temporary Machine Learning Trainer Jobs in Horicon, WI

Meta

Critical Facility Engineer

Beaver Dam, WI

$88K/yr

Successfully complete personnel qualification standards (PQS) training * Provides technical ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Critical Facility Engineer

Beaver Dam, WI

$104K/yr

Successfully complete personnel qualification standards (PQS) training * Provides technical ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Jersey Mike's Subs

Manager in Training

Johnson Creek, WI · On-site

$17 - $19/hr

Commitment to learning * Have strong desire to work as a Team Player * Flexibility to work day and ... Use specific kitchen machinery such as knives, grills, slicers, etc. * Ensure restaurant ...

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All JobsMachine Learning Trainer JobsTemporary Machine Learning Trainer JobsTemporary Machine Learning Trainer Jobs in Horicon, WI

Temporary Machine Learning Trainer information

See Horicon, WI salary details

$29.7K

$92.6K

$119.3K

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

As of Aug 22, 2026, the average yearly pay for temporary machine learning trainer in Horicon, WI is $92,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $117,700.00 per year, depending on experience, location, and employer.

What is a temporary machine learning trainer?

Temporary Machine Learning Trainers are professionals hired on a short-term or contract basis to develop, implement, and refine machine learning models or to train teams in machine learning techniques. Their responsibilities often include preparing training data, selecting appropriate algorithms, and ensuring models are accurate and efficient. They may also provide guidance to organizations on best practices and help upskill employees in machine learning concepts. These roles are typically project-based and may last from a few weeks to several months, depending on organizational needs.

What are some common challenges faced by temporary machine learning trainers, and how can they be managed effectively?

Temporary Machine Learning Trainers often face the challenge of quickly adapting to new team environments and rapidly understanding existing workflows. Additionally, they may need to balance delivering training sessions with handling updates to curriculum or technology. Effective communication with permanent staff and staying up-to-date with the latest machine learning tools can help manage these challenges. Being proactive in seeking feedback and clarifying expectations early on can also contribute to a smoother transition and more impactful training sessions.

What are the key skills and qualifications needed to thrive as a temporary machine learning trainer, and why are they important?

To thrive as a Temporary Machine Learning Trainer, you need a solid background in machine learning concepts, data analysis, and model evaluation, usually supported by a relevant degree or experience in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or scikit-learn), and educational tools is typically required. Strong communication, adaptability, and instructional skills help trainers effectively convey complex topics and respond to diverse learner needs. These skills ensure trainees gain practical knowledge and confidence, contributing to successful training outcomes and organizational goals.

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

AspectTemporary Machine Learning TrainerData Scientist
CredentialsRelevant certifications (e.g., AWS, Google Cloud), technical trainingAdvanced degrees (Master's or PhD) in data science, statistics, or related fields
Work EnvironmentTraining sessions, workshops, corporate training settingsData analysis, modeling, research environments, often in offices or labs
Employer & Industry UsageTech companies, educational institutions, consulting firmsTech, finance, healthcare, research organizations

While both roles involve working with data and machine learning, a Temporary Machine Learning Trainer primarily focuses on educating and training teams or clients on machine learning tools and concepts. In contrast, a Data Scientist develops models, analyzes data, and derives insights for decision-making. The roles differ mainly in their focus—training versus data analysis—though they share foundational technical skills.

What cities near Horicon, WI are hiring for Temporary Machine Learning Trainer jobs?

Cities near Horicon, WI with the most Temporary Machine Learning Trainer job openings:

Temporary Machine Learning Trainer jobs near you

Customer Service Associate - Temporary

Walgreens

Hartland, WI • On-site

$14.25 - $19.50/hr

Temporary

Re-posted 15 days ago

Walgreens rating

5.5

Company rating: 5.5 out of 10

Based on 2,209 frontline employees who took The Breakroom Quiz

99th of 113 rated pharmacies

Job description

  • Models and delivers a distinctive and delightful customer experience.
  • Registers sales on assigned cash register, provides customers with courteous, fair, friendly, and efficient checkout service.
Customer Experience
  • Engages customers and patients by greeting them and offering assistance with products and services.  Resolves customer issues and answers questions to ensure a positive customer experience.
  • Models and shares customer service best practices with all team members to deliver a distinctive and delightful customer experience, including interpersonal habits (e.g., greeting, eye contact, courtesy, etc.) and Walgreens service traits (e.g., offering help proactively, identifying needs, servicing until satisfied, etc.).
Operations
  • Provides customers with courteous, friendly, fast, and efficient service.
  • Recommends items for sale to customer and recommends trade-up and/or companion items.
  • Registers customer purchases on assigned cash register, collects cash and distributes change as requested; processes voids, returns, rain checks, refunds, and exchanges as needed.
  • Keeps counters and shelves clean and well merchandised, takes inventory, and maintains records.  Checks in and prices merchandise as required or as directed by store manager or communicated by the shift leader.
  • Implements Company asset protection procedures to identify and minimize profit loss.
  • Ensures compliance with state and local laws regarding regulated products (e.g., alcoholic beverages and tobacco products).
  • Constructs and maintains displays, including promotional, seasonal, super structures, and sale merchandise.  Completes resets and revisions as directed.
  • Assists with separation of food items (e.g., raw foods from pre-cooked) and product placement as specified by policies/procedures (e.g., raw and frozen meats on bottom shelves).  For consumable items, assists in stock rotation, using the first in, first out method and restock outs.
  • Has working knowledge of store systems and store equipment.
  • Provides customer service in the photo area, including digital passport photo service, poster print and creative machine, suggestive sell of promotional photo products.
  • Assumes web pick-up responsibilities (monitors orders in Picture Care Plus, fills orders (pick items), delivers orders to customers as they arrive at store).
  • Assists with exterior and interior maintenance by ensuring clean, neat, orderly store condition and appearance.
  • Complies with all company policies and procedures; maintains respectful relationships with coworkers.
  • Completes special assignments and other tasks as assigned.
Training & Personal Development
  • Attends training and completes PPLs requested by Manager or assigned by corporate.

What Walgreens employees say

Pay

Benefits

Hours and flexibility

Workplace

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