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Temporary Machine Learning Trainer Jobs in Racine, WI

micro1 AI

AI Trainer - Microbiology Expert

Kenosha, WI · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Inteplast Group, Ltd

Machine Assistant

Waukegan, IL · On-site

$21/hr

... learning the mechanics of the flexographic and converting machines. * Old and new machinery. Clean ... TRAINING: * Must complete ongoing training as required. PHYSICAL ACTIVITY REQUIRED FOR THIS ...

STS Technical Services

Machine Operators

Glendale, WI · On-site

$16 - $19/hr

Willingness to learn and support cross-training initiatives About STS Technical Services STS ... We offer direct hire, contract, and temp-to-perm career opportunities with industry-leading support ...

Smurfit Westrock

Machine Operator

Pleasant Prairie, WI · On-site

$24.41/hr

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

Aerotek

Machine Operator

Gurnee, IL

$20 - $24/hr

Establish and maintain work pace to meet production goals. * Assist in training other manufacturing ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Comprehensive Logistics

Forklift Operator

Milwaukee, WI · On-site

$16.75 - $19.75/hr

CLI is the most advanced 3PL with cutting-edge technology and machine learning to keep supply ... Training: Comprehensive training to fuel your growth and success! About The Company Built for ...

Pwc

CTIO AI Engineering Manager

Milwaukee, WI · On-site

$73K - $244K/yr

... training, and deploying machine learning models - Developing scalable, cloud-native microservices using Docker and Kubernetes - Building end-to-end AI applications integrated into various platforms ...

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

Temporary Machine Learning Trainer information

See Racine, WI salary details

$26.3K

$81.9K

$105.5K

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 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 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 Racine, WI are hiring for Temporary Machine Learning Trainer jobs?

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

Temporary Machine Learning Trainer jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Kenosha, WI • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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