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Temporary Machine Learning Trainer Jobs (NOW HIRING)

This Machine Operator role could be a great fit for you. This established manufacturing company ... learning new skills. This is a full-time, 3 month temporary opportunity for someone looking for ...

Machine Operator

Lisle, IL · On-site

$18/hr

Temporary Machine Operator (6-9 month Assignment) Location: Lisle, IL Classification: Full-Time, Hourly Hours: 10am to 6pm (Please note training schedule may vary from normal schedule) Pay: $18.00/hr.

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

AI/Machine Learning Engineer This project-based consulting role invites an experienced Machine ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

The Machine Learning Platform Technology team is building groundbreaking technology for search ... training the next generation of Apple Foundation Models. Minimum Qualifications 4+ years of ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials. Requirements * PhD/Master in Machine Learning ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$216K - $324K/yr

The Machine Learning Platform Technology team is building groundbreaking technology for search ... standards, for training the next generation of Apple Foundation Models. ","responsibilities ...

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Temporary Machine Learning Trainer information

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$28K

$87.3K

$112.5K

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

As of Sep 12, 2026, the average yearly pay for temporary 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 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 are hiring for Temporary Machine Learning Trainer jobs?

Cities with the most Temporary 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 Temporary Machine Learning Trainer jobs?

States with the most job openings for Temporary Machine Learning Trainer jobs include:

What are popular job titles related to Temporary Machine Learning Trainer jobs?

For Temporary Machine Learning Trainer jobs, the most frequently searched job titles are:

Infographic showing various Temporary Machine Learning Trainer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $87,325 per year, or $42 per hour.

Machine Learning Trainer

Mclean, VA • On-site

Fuel Consulting, LLC
Business Management Consulting • 11 - 50 employees

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
Fuel Consulting, LLC is seeking an experienced training instructor with expertise in advanced technologies like artificial intelligence and machine learning. The instructor will be responsible for teaching machine learning concepts to a diverse audience and developing a curriculum that enhances AIML knowledge and prepares the workforce for the future.
Responsibilities:
• Lead and manage all aspects of a multi-faceted curriculum
• Update training materials as needed
• Recommend improvements to both training materials and software based on course feedback and observations
• Develop ideas for new courses as appropriate
Qualifications:
Required:
• 10 years of classroom instruction experience
• 5 years of curriculum development experience
• Demonstrated knowledge of intelligence community foundation capabilities including analysis; targeting; collection and operations
• Training intelligence community audiences in any or all of these disciplines
• Very strong communication skills
• Upbeat, energetic, confident personal presence
• Top Secret with Polygraph clearance clearance required
Preferred:
• Exposure to and understanding of data science or hard sciences
• Coding skills in Python and/or R
Company:
Fuel Consulting, LLC is an elite management-consulting firm specializing in powering organizational change in demanding times in the federal, nonprofit, and commercial sectors. Founded in 2008, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.