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Remote Machine Learning Trainer Jobs (NOW HIRING)

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Deep understanding of the ML lifecycle, from data ingestion and training to production monitoring

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Deep understanding of the ML lifecycle, from data ingestion and training to production monitoring

Genentech

Machine Learning Engineer

South San Francisco, CA · On-site +1

$168K - $312K/yr

You will also architect and uphold ML pipelines using job scheduling frameworks to streamline data preparation, training, deployment, and machine learning model lifecycles. * In addition to ensuring ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Implement scalable training and inference pipelines using modern ML tooling (e.g.,PyTorch ...

Serve Robotics

$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 ...

Anytime AI

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 ...

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

As of Jul 15, 2026, the average yearly pay for remote machine learning trainer in the United States is $87,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $111,000.00 per year, depending on experience, location, and employer.
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Remote Machine Learning Trainer jobs near you
Infographic showing various Remote Machine Learning Trainer job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,325 per year, or $42 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apex Informatics

Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Applied Machine Learning Engineer | Music Software (Multiple Roles open)
Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash
Employment Type: Contract (3 months +, potential for extension) Location: Remote
We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production-ready API code). In this role, you'll leverage off-the-shelf tools and custom-built ML models to solve challenges in music product development and improve manual music processes. This position is ideal for engineers with demonstrable experience building functional, production-ready models and who are passionate about user experience and Product.
Key Responsibilities:
• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals.
• Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently.
• Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on.
• Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience.
• Build scalable, maintainable data pipelines to handle audio and other unstructured data.
• Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems.
• Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation.
• Uphold ethical AI practices, ensuring fairness and responsible AI use in music-related applications.
What You Bring
• Proven software development experience, ideally in Python (other languages a plus).
• Experience implementing and deploying ML models, using PyTorch framework.
• Familiarity with AWS cloud environment for deploying and scaling ML solutions.
• Ability to preprocess and model unstructured data, especially audio.
• A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems.
• A good understanding of music, production, or audio technology processes (or a strong interest in music)
• Familiarity with GenAI architectures like transformers, LLMs, or diffusion models.
• Proactive nature, ability to creatively solve problems you face and bring new ideas to the team.
• Clear and effective communication with technical and non-technical stakeholders.
• Ability to work independently and remotely while collaborating closely with cross-functional teams.

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