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Freelance Machine Learning Jobs in Missouri (NOW HIRING)

Jobgether

$70 - $100/hr

Our partner is looking for a Machine Learning (ML) AI Task Auditor - Freelance AI Trainer Project based in Netherlands. This freelance opportunity is designed for experienced Machine Learning ...

Jobs for Humanity

Speakers/Writers

Kansas City, MO · On-site

$15 - $60/hr

... machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be ...

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Freelance Machine Learning information

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$13

$44

$124

How much do freelance machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for freelance machine learning in Missouri is $44.75, according to ZipRecruiter salary data. Most workers in this role earn between $22.79 and $57.93 per hour, depending on experience, location, and employer.

What is a freelance machine learning?

A Freelance Machine Learning job involves working independently on machine learning projects for various clients instead of being employed by a single company. Freelancers may develop models, analyze data, fine-tune algorithms, or deploy AI solutions based on client needs. They often find work through freelance platforms, networking, or direct client outreach. This role offers flexibility in workload, project selection, and work location, but it also requires self-marketing and project management skills.

What are the key skills and qualifications needed to thrive in freelance machine learning?

To thrive as a Freelance Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially in Python or R), and experience with machine learning algorithms. Proficiency in tools like TensorFlow, PyTorch, scikit-learn, and often cloud platforms such as AWS or Google Cloud is highly valuable, and certifications in data science or machine learning can enhance your credibility. Strong communication skills, self-motivation, and the ability to manage time and client relationships independently help you excel in a freelance setting. These abilities ensure you can deliver effective solutions, secure repeat clients, and adapt quickly to various project requirements in a competitive market.

What are common challenges faced by freelance machine learning professionals and how can they be managed?

Freelance Machine Learning professionals often face challenges such as managing multiple projects with varying requirements, keeping up with rapidly evolving technologies, and clarifying expectations with diverse clients. Effective time management, strong communication to set clear deliverables, and continual learning are key strategies to overcome these obstacles. Building a broad professional network and maintaining a strong online portfolio also help freelancers attract and retain clients. Staying organized and routinely updating technical skills can turn these challenges into opportunities for professional growth and success.

Can I do freelancing with machine learning?

Yes, machine learning professionals can work as freelancers by offering services such as data analysis, model development, and consulting. Successful freelancing in this field typically requires strong skills in programming, data handling, and familiarity with tools like Python, TensorFlow, or scikit-learn, along with a portfolio to attract clients.

What are the most commonly searched types of Machine Learning jobs in Missouri?

The most popular types of Machine Learning jobs in Missouri are:

What are popular job titles related to Freelance Machine Learning jobs in Missouri?

For Freelance Machine Learning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning jobs in Missouri look for?

The top searched job categories for Freelance Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Freelance Machine Learning jobs?

Cities in Missouri with the most Freelance Machine Learning job openings:

Freelance Machine Learning jobs near you
Infographic showing various Freelance Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $93,078 per year, or $44.7 per hour.

Machine Learning (ML) AI Task Auditor - Freelance AI Trainer Project

Remote

Jobgether
See more jobs at Jobgetherexternal

$70 - $100/hr

Contractor

Medical, PTO

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning (ML) AI Task Auditor - Freelance AI Trainer Project based in Netherlands.

This freelance opportunity is designed for experienced Machine Learning professionals who want to apply their technical expertise to the development and evaluation of advanced AI systems.
You will audit machine learning tasks used to train and evaluate AI models, ensuring they are technically accurate, realistic, reproducible, and practical.
The role involves reviewing model development workflows, data preprocessing pipelines, algorithms, and testing approaches against rigorous technical standards.
You will identify data pipeline flaws, model training inefficiencies, algorithmic logic errors, and other issues that could affect task quality.
Your feedback will help improve the reliability and technical integrity of AI training and evaluation workflows.
The project offers a flexible, remote environment where specialized machine learning expertise can directly influence the quality of AI systems.
As a freelance contributor, you will work independently on challenging technical assignments while helping ensure AI evaluation tasks reflect real-world machine learning practices.

Accountabilities
  • Evaluate machine learning tasks to determine whether they are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria.
  • Review model development workflows, data preprocessing pipelines, and machine learning implementations for technical correctness and practical relevance.
  • Assess whether algorithms, training approaches, and expected outcomes are logically sound and appropriately defined.
  • Identify data pipeline flaws, model training inefficiencies, algorithmic logic errors, and other technical issues that may compromise task quality.
  • Rigorously test and troubleshoot complex machine learning scenarios to validate task behavior and expected results.
  • Provide clear, actionable technical feedback on identified issues and recommend improvements where appropriate.
  • Apply specialized machine learning knowledge to ensure AI training and evaluation tasks meet high standards of accuracy, rigor, and reproducibility.
  • Document technical findings clearly and consistently across assigned project tasks.
Requirements
  • Demonstrable professional experience and deep technical knowledge in Machine Learning, including model development and data preprocessing pipelines.
  • Strong hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of machine learning algorithms, model training workflows, data preparation, and technical evaluation practices.
  • Strong analytical and problem-solving skills, with the ability to rigorously test, troubleshoot, and evaluate complex technical scenarios.
  • Excellent attention to detail and the ability to identify subtle data, model, algorithmic, testing, and reproducibility issues.
  • Ability to objectively assess technical tasks against requirements for accuracy, realism, solvability, and reliable evaluation.
  • Strong written communication skills for providing precise, constructive, and actionable technical feedback.
  • Ability to work independently and apply specialized expertise within a freelance, project-based environment.
  • Candidates will be considered for one area of specialization based on their professional experience; expertise across other domains is not required.
  • Ability to provide a secure computer and reliable high-speed internet connection for freelance project work.
Benefits
  • Compensation of $70-$100 per hour, with the exact rate determined based on experience, expertise, and geographic location.
  • Final compensation may vary from the published range following evaluation of your qualifications and location.
  • Freelance contract structure offering flexibility for project-based work.
  • Remote work environment.
  • Opportunity to contribute directly to the training and evaluation of advanced AI systems.
  • Opportunity to apply specialized Machine Learning expertise to technically challenging AI evaluation projects.
  • Health insurance, paid time off, and other company-sponsored employee benefits are not provided under the freelance contract.
  • Contractors are responsible for supplying their own secure computer and high-speed internet connection.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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