1

Temporary Machine Learning Trainer Jobs in Everett, WA

Machine Learning Engineer - LLMs & Generative AI

Seattle, WA · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer - LLMs & Generative AI Truveta is the world's first health provider led ... Lead the development, training, and deployment of large language and multimodal foundation models ...

Machine Learning Engineer - LLMs & Generative AI

Seattle, WA · On-site +1

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer - LLMs & Generative AI Truveta is the world's first health provider led ... Lead the development, training, and deployment of large language and multimodal foundation models ...

Staff Machine Learning Engineer

Seattle, WA

$208K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online ... Machine Learning systems in production. * Strong programming skills in Python, Go, Scala or a ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Explore novel data generation and collection pipelines to enrich training datasets. Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production ...

Explore novel data generation and collection pipelines to enrich training datasets. Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production ...

Explore novel data generation and collection pipelines to enrich training datasets. Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production ...

Showing results 41-60

Temporary Machine Learning Trainer information

See Everett, WA salary details

$30.9K

$96.5K

$124.3K

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

As of Aug 14, 2026, the average yearly pay for temporary machine learning trainer in Everett, WA is $96,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $122,600.00 per year, depending on experience, location, and employer.

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 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 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 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 cities near Everett, WA are hiring for Temporary Machine Learning Trainer jobs?

Cities near Everett, WA with the most Temporary Machine Learning Trainer job openings:

Infographic showing various Temporary Machine Learning Trainer job openings in Everett, WA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $96,465 per year, or $46.4 per hour.

Senior Researcher - Machine Learning - Microsoft Research

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 6 days ago


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies


Job description

Job Summary:
Microsoft is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. They are seeking a Senior Researcher in Machine Learning to advance the ways artificial intelligence can accelerate discovery in biomedicine and life sciences.
Responsibilities:
• Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, non-exhaustively including techniques around post-training, inference-time optimization, interpretability, and experimental design.
• Deep Learning Training Methods: Leverage a background in state-of-the-art techniques to post-train and fine-tune for application-specific scenarios.
• System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc.
• In addition to these specific technical areas, candidates will be required to participate in robust, repeatable team-based technical research and be effective communicators.
Qualifications:
Required:
• Doctorate in relevant field
• OR Master's Degree in relevant field AND 3+ years related research experience
• OR Bachelor's Degree in relevant field AND 4+ years related research experience
• OR equivalent experience.
Preferred:
• Experience creating and using generative AI or other ML techniques in the life sciences.
• Experience with pre-, mid-, and/or post-training deep learning models.
• Experience innovating software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences. This includes techniques like context engineering, prompt optimization, and optimization of test-time compute.
• Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.
• Experience publishing academic papers as a lead author or essential contributor.
Company:
Microsoft provides computer software, consumer electronics, cloud computing platforms, and digital enterprise systems. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media