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Freelance Machine Learning Trainer Jobs (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

Chefman & CHEF iQ

Machine Learning Engineer

Mahwah, NJ · On-site

... training through deployment, monitoring, and continuous improvement. • Research, evaluate, and apply emerging machine learning techniques, including computer vision, generative AI, large language ...

New

Aivra Health LLC

$28 - $45/hr

Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

Aivra Health LLC

$28 - $45/hr

Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

Avride

Machine Learning Engineer

Austin, TX · On-site

They are seeking an experienced Machine Learning Engineer to design, implement, and optimize ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...

Chefman

Machine Learning Engineer

Mahwah, NJ

$140K - $170K/yr

... training through deployment, monitoring, and continuous improvement. • Research, evaluate, and apply emerging machine learning techniques, including computer vision, generative AI, large language ...

New

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122K - $184K/yr

Principal Duties and Responsibilities: • Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days ... with ML model training within cloud infra such as Azure, AWS, GCP Proven track record of ...

Micron

Machine Learning Engineer

Boise, ID · On-site

Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Collaborate on data ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Build efficient and scalable ML training and inference systems * Stay up-to-date with the latest ...

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Freelance Machine Learning Trainer information

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How much do freelance machine learning trainer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for freelance machine learning trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

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

AspectFreelance Machine Learning TrainerData Scientist
CredentialsTypically requires a background in machine learning, data analysis, and certifications in relevant tools or programming languagesRequires a degree in data science, statistics, or related fields; often holds advanced degrees and certifications
Work EnvironmentIndependent, project-based, often remote or onsite training sessionsUsually employed by companies or consulting firms, working on data analysis projects
Industry UsageUsed in education, corporate training, and freelance consultingApplied in tech, finance, healthcare, and other data-driven industries

While both roles involve working with machine learning, a Freelance Machine Learning Trainer focuses on educating others through training sessions and workshops, often independently. In contrast, a Data Scientist analyzes data to derive insights and build models within organizations. The roles differ mainly in their focus—training versus data analysis—and work environment.

What cities are hiring for Freelance Machine Learning Trainer jobs? Cities with the most Freelance 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 Freelance Machine Learning Trainer jobs? States with the most job openings for Freelance Machine Learning Trainer jobs include:
What job categories do people searching Freelance Machine Learning Trainer jobs look for? The top searched job categories for Freelance Machine Learning Trainer jobs are:
Freelance Machine Learning Trainer jobs near you
Infographic showing various Freelance Machine Learning Trainer job openings in the United States as of May 2026, with employment types broken down into 9% Full Time, 82% Part Time, and 9% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Dark Wolf Solutions

Chantilly, VA • On-site

Other

Posted 22 days ago

Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms to solve specific business problems.
  • Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
  • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
  • Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
  • Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
  • Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
  • Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
  • Troubleshoot and resolve issues related to machine learning models and pipelines.
  • Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
  • Contribute to the development of best practices and standards for machine learning development and deployment within the team.
  • Document machine learning models, experiments, and deployment processes.
  • Potentially work with large datasets and big data technologies.
  • Optimize machine learning models for performance and efficiency.

Qualifications:

  • Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
  • Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
  • Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
  • Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures).
  • Experience with data preprocessing, feature engineering, and data visualization techniques.
  • Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
  • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
  • Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
  • Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences. 

Preferred Skills:

  • Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
  • Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Experience with building and deploying RESTful APIs.
  • Familiarity with big data technologies and distributed computing.
  • Experience with statistical modeling and inference. 

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph

This position is located in Chantilly/Herndon, VA. 

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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