1

Freelance Machine Learning Trainer Jobs (NOW HIRING)

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Build robust MLOps pipelines for continuous training and integration of models using telemetry data ... Proven experience deploying machine learning models into production. * Strong software engineering ...

Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... training, evaluation, deployment, and monitoring. You will work both independently and ...

We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal. About the Role At Poesis, machine learning and artificial ...

$225K - $260K/yr

By optimizing distributed training pipelines, neural network architectures, and data processing ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...

... training, inference, labeling, and evaluation • Judiciously combine open-source solutions and ... Machine Learning, including ownership of projects throughout the entire ML Lifecycle • ...

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Experience in training Large Language Models. * Web development experience or willingness to ...

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development. * Design and implement AI agents, agentic ...

... training, inference, labeling, and evaluation • Judiciously combine open-source solutions and ... Machine Learning, including ownership of projects throughout the entire ML Lifecycle • ...

Design, build, and maintain scalable machine learning pipelines supporting model training, deployment, and inference * Develop and manage CI/CD pipelines for machine learning systems and deployment ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

Experience training, fine-tuning, evaluating, and deploying machine learning models in production ... environments. * Experience designing evaluation methodologies, benchmarking systems, and model ...

... for training and using MCP agents to streamline research workflow. Requirements: * PhD or PhD ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... A comprehensive training package and transfer-of-ownership document for our internal engineering ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

next page

Showing results 1-20

Freelance Machine Learning Trainer information

See salary details

$13

$31

$63

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

As of Jul 17, 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:
Infographic showing various Freelance Machine Learning Trainer job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 20% Full Time, 37% Part Time, 20% Contract, 17% Nights, and 4% Summer. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Machine Learning Engineer

KSB SE and Co KGaA

Grovetown, GA • On-site

Full-time

Posted 11 days ago


Job description

KSB is a leading supplier of pumps, valves and related service. Our reliable, high-efficiency products are used in applications wherever fluids need to be transported or shut off, covering everything from building services,industry and water transport to waste water treatment, power plant processes and mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with its own sales and marketing organisations and manufacturing facilities. Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to provide local inspection, servicing, maintenance and repair services under the KSB SupremeServ brand. Innovative technology that is the fruit of KSB's research and development activities forms the basis for the company's success.
People. Passion. Performance. It is these three success factors that make KSB the company it is today.
At KSB, we recognise that it is people who actually make the difference - the people we employ and the people we serve. This is why we are committed to equal rights and treatment worldwide and never lose sight of the aspects ecology and sustainability when manufacturing our products.
Machine Learning Engineer
KSB GIW, Inc.
Department: Engineering, Research & Development
Reports to: Metallurgical and Materials R&D Lab Manager
Location: Grovetown, GA, USA (onsite)
Shift: First
FLSA Status: Salary Exempt
OVERVIEW:
Our R&D group is expanding its use of machine learning to solve real engineering problems, and we're looking for a sharp, hands-on early-career engineer to join the team.
You'll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives where machine learning meets scientific computing: surrogate modeling, data-driven approximations of physical systems, and ML models that respect the underlying engineering principles.
You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical lead who will guide your growth across data engineering, scientific ML, and emerging AI tooling.
RESPONSIBILITIES:
  • Build and maintain the data foundation: ingestion, cleaning, transformation, validation, and metadata standards
  • Implement and train machine learning models using Python and modern frameworks (PyTorch)
  • Contribute to applied AI tooling that supports the broader R&D workflow
  • Develop visualization and dashboard interfaces that present results to end users
  • Run experiments, track results, and report findings against defined targets
  • Help bring prototype code to production quality: testing, documentation, version control
  • Collaborate with team members across engineering disciplines

QUALIFICATIONS:
  • Education: Bachelor's degree required; master's preferred in Computer Science, Engineering, Applied Math, Physics, or a related field

  • Experience: 1-3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing

SKILLS / COMPETENCIES
Required:
  • Solid Python skills with hands-on experience using core libraries:
    • Machine learning: PyTorch, scikit-learn
    • Data: NumPy, pandas
    • Scientific computing: SciPy, Matplotlib
  • Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of physical systems - this is essential to the role
  • Foundational understanding of neural networks, model training, and optimization
  • Experience with version control (Git) and working in a Linux environment
  • Strong written and verbal communication skills
  • Collaborative, coachable attitude
Preferred:
  • Experience building and maintaining data pipelines, metadata schemas, and data quality frameworks
  • Exposure to scientific / physics-informed machine learning (surrogate modeling, embedding physical constraints into ML models)
  • Background in CFD, simulation, computational mechanics, or applied physics
  • Familiarity with agentic AI / LLM frameworks (LangChain, LangGraph, or similar) enough to collaborate effectively, not lead
  • Experience with Jupyter, Docker, MLflow, or FastAPI
  • Front-end / dashboard development experience (React)
  • Cloud compute (AWS or Azure) and GPU-based training
  • Coursework or research projects in numerical methods, engineering, or applied science

PHYSICAL REQUIREMENTS:
  • Primarily desk-type duty

KSB Group is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. KSB makes hiring decisions based solely on qualifications, merit, and business needs at the time.
We value employees who take the initiative and are committed to our company; Employees who take responsibility and for whom business success is the focus of their actions. In return, we offer fair framework conditions for collective wages and pensions, flexible working time models, individual training opportunities and the best career prospects.