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Freelance Machine Learning Trainer Jobs (NOW HIRING)

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 ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... training & fine tuning foundation LLM models Knowledge of LangChain and sentence transformer frameworks Knowledge of ChatGPT4 (or comparable models) Experience applying current machine learning ...

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Principal Duties and Responsibilities: • Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep ...

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Implementation and Training of Appropriate Models from Literature. * Characterization of Error in Models. * Iterative Optimization of Models. * On the engineering side of development, the Machine ...

As a Machine Learning Engineer, you will work with complex datasets, design and optimize models ... Prepare, clean, analyze, and manage datasets used for model training and validation. * Improve ...

The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...

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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 Aug 6, 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:
Infographic showing various Freelance Machine Learning Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Machine Learning Researcher / Machine Learning Engineer

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

Posted 20 days ago


Job description

$200,000 - 2,000,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
ML Researcher / ML Engineer
I am working with one of the world's leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.
As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.
The Opportunity
This is an opportunity to work alongside some of the industry's leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.
Depending on your experience and interests, you may focus on areas including:
  • Large Language Models (LLMs)
  • Foundation model training and optimisation
  • Agentic AI systems
  • Applied machine learning research
  • Model evaluation and post-training optimisation
  • Distributed systems and AI infrastructure
You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.
Requirements
Successful candidates will typically possess:
  • Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
  • Excellent programming skills in Python and/or C++
  • Experience developing and deploying production-grade machine learning systems
  • A strong mathematical foundation and exceptional problem-solving ability
  • A passion for solving technically demanding challenges in a fast-paced environment
Why Join?
This firm offers the opportunity to work on some of the most advanced AI and machine learning challenges in the financial industry, alongside world-class researchers, engineers, and quantitative professionals.
The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.