1

Freelance Google Machine Learning Engineer Jobs (NOW HIRING)

Machine Learning Engineer - AI Data Trainer Location: Remote About The Job At Alignerr, we partner ... Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension.

New

Machine Learning Engineer - AI Data Trainer Location: Remote About The Job At Alignerr, we partner ... Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension.

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite ... Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google ...

Machine Learning Engineer

Mclean, VA · On-site +1

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with ... Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. * Experience with version control ...

... Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 ... About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team.

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Google Cloud Platform (GCP). * Follow Agile methodologies to deliver production-ready, highly ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Google Cloud AI Platform * Docker * Kubernetes * MLflow * CI/CD pipelines * Model Deployment ...

Hands-on experience with Google Cloud Platform (Google Cloud Platform) services relevant to AI/ML. Basic understanding and practical experience with Machine Learning model fine-tuning. Familiarity ...

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Machine Learning Engineer

Mclean, VA · On-site

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with ... Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. * Experience with version control ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Google Cloud AI Platform * Docker * Kubernetes * MLflow * CI/CD pipelines * Model Deployment ...

next page

Showing results 1-20

Freelance Google Machine Learning Engineer information

See salary details

$14

$47

$132

How much do freelance google machine learning engineer jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for freelance google machine learning engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Google Machine Learning Engineer, and why are they important?

To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.

What does a Freelance Google Machine Learning Engineer do?

A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.

What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?

Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.

What is the difference between Freelance Google Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Google Machine Learning EngineerFreelance Data Scientist
CredentialsKnowledge of Google Cloud ML tools, programming skills in Python, TensorFlowStatistical expertise, programming in Python/R, data analysis skills
Work EnvironmentCloud platforms, AI/ML projects, collaboration with developersData analysis, reporting, model development, client communication
Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, marketing, research organizations

While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.

More about Freelance Google Machine Learning Engineer jobs
What cities are hiring for Freelance Google Machine Learning Engineer jobs? Cities with the most Freelance Google Machine Learning Engineer job openings:
What are the most commonly searched types of Google Machine Learning Engineer jobs? The most popular types of Google Machine Learning Engineer jobs are:
What states have the most Freelance Google Machine Learning Engineer jobs? States with the most job openings for Freelance Google Machine Learning Engineer jobs include:

Machine Learning Engineer

Alignerr

Richmond, VA • Remote

$50 - $70/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer - AI Data Trainer
Location:
Remote
About The Job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‐edge AI models. This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice‐making, producing the data required to teach models to solve problems consistently in actual environments.
Organization:
Alignerr
Position:
Machine Learning Engineer - AI Data Trainer
Type:
Hourly Contract
Compensation:
$50–$70 /hour
Location:
Remote
Commitment:
10–40 hours/week
What You'll Do
Draft precise, organized logical logs for sophisticated technical challenges.
Record sequential strategizing and choice‐making workflows.
Generate training datasets that illustrate proficient tool interaction for AI models.
Requirements
Professional expertise in Machine Learning, Engineering, or a technical discipline.
Superb skill in explaining intricate logical processes and methodologies clearly.
Critical thinking skills to audit and refine AI‐generated reasoning steps.
Masters Degree or PhD
Preferred
Prior experience with data annotation, data quality, or evaluation systems.
Masters Degree or PhD
Why Join Us
Competitive pay and flexible remote work.
Collaborate with a team working on cutting‐edge AI projects.
Exposure to advanced LLMs and how they're trained.
Freelance perks: autonomy, flexibility, and global collaboration.
Potential for contract extension.
Application Process (Takes 15‐20 min)
Submit your resume
Complete a short screening
Project matching and onboarding
#J-18808-Ljbffr