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Machine Learning Trainer Jobs (NOW HIRING)

DUTIES & RESPONSIBILITIES * Assist in developing and training machine learning models * Support the creation and maintenance of data pipelines * Help deploy ML models into production under guidance

Operationalize ML model training at serving at enterprise scale * Stay abreast of the latest advancements in machine learning What you should have: * Master's Degree/Bachelor's Degree in Machine ...

Responsibilities : • Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling. • Scale and maintain machine learning model training ...

DUTIES & RESPONSIBILITIES * Assist in developing and training machine learning models * Support the creation and maintenance of data pipelines * Help deploy ML models into production under guidance

DUTIES & RESPONSIBILITIES * Assist in developing and training machine learning models * Support the creation and maintenance of data pipelines * Help deploy ML models into production under guidance

DUTIES & RESPONSIBILITIES * Assist in developing and training machine learning models * Support the creation and maintenance of data pipelines * Help deploy ML models into production under guidance

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... They should be comfortable selecting the right algorithms, preparing and analyzing data, training ...

POSITION OVERVIEW As a Machine Learning Engineer at FloVision, you will design, develop, and ... On-site data collection for model training and validation * R&D visits to one of our in-person ...

Promote a data-driven culture across the organization by expanding machine learning applications and leading training initiatives. * Collaborate with internal customers to validate trials, implement ...

Required : • Several years of experience with Python and machine learning frameworks • Expertise in PyTorch for building and training neural networks • Experience training and serving models in ...

On-site data collection for model training and validation * R&D visits to one of our in-person ... Own machine learning outcomes end to end - from data quality and model performance to deployment ...

Showing results 21-40

Machine Learning Trainer information

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$28K

$87.3K

$112.5K

How much do machine learning trainer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for 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.

What is a machine learning trainer?

A Machine Learning Trainer is responsible for preparing and curating datasets, fine-tuning machine learning models, and optimizing algorithms for accuracy and efficiency. They work closely with data scientists and engineers to improve model performance and ensure high-quality training data. This role involves tasks like labeling data, selecting features, and implementing preprocessing techniques. Additionally, they may develop training methodologies and evaluate models using various metrics to enhance their effectiveness.

What are the key skills and qualifications needed to thrive as a machine learning trainer?

To thrive as a Machine Learning Trainer, you need a solid background in computer science, statistics, and machine learning concepts, often supported by relevant academic degrees and industry experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and certifications like TensorFlow Developer or AWS Machine Learning are valuable assets. Excellent communication, patience, and adaptability allow trainers to effectively convey complex concepts to diverse learners. These skills ensure effective teaching, learner engagement, and successful knowledge transfer in a rapidly evolving technological landscape.

What are the typical challenges faced by a machine learning trainer in the workplace?

Machine Learning Trainers often encounter the challenge of explaining complex algorithms and abstract mathematical concepts to learners with varying levels of expertise. Adapting course materials to suit different learning styles and staying current with the latest advancements in machine learning require continuous self-development. Trainers may also need to collaborate closely with data scientists, engineers, and curriculum developers to ensure their training aligns with real-world applications. Overcoming these challenges not only enhances teaching effectiveness but also contributes to the overall growth of both trainers and their learners.

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What cities are hiring for Machine Learning Trainer jobs?

Cities with the most 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 Machine Learning Trainer jobs?

States with the most job openings for Machine Learning Trainer jobs include:

What are popular job titles related to Machine Learning Trainer jobs?

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Infographic showing various Machine Learning Trainer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $87,325 per year, or $42 per hour.

Machine Learning Intern

San Francisco, CA • On-site

Internship

Re-posted 24 days ago


Job description

About the team
Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware.
Our AI team builds the models and inference systems that let robotic arms see, reason, and act. This work runs on deployed robots, not demos.
About the role
As a Machine Learning Intern at Droyd, you'll work directly on the learning and inference systems that power our robotic arms. You'll train models, run experiments, and help push research into production.
You'll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots.
This role is based in San Francisco, CA. We're an in-person company. We build faster that way.
In this role, you'll
  • Work across the ML stack, from training to inference
  • Train and evaluate models that run on low-payload robotic systems
  • Run experiments, analyze results, and document findings
  • Learn how model design, data quality, and hardware constraints affect real-world performance
  • Support deployment and testing of models on robotic hardware
We're looking for candidates who
  • Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related field
  • Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX
  • Are willing to balance school and work in a fast-moving environment
  • Are curious about robotics and interested in how learning systems behave in the real world
  • Take ownership, ask good questions, and can carry projects forward with guidance
About Droyd
Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, collect our own data, and train models that operate under real-world constraints.
If we do this right, robots become dependable tools people rely on every day.
Join us and help build systems that ship.