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Remote Google Machine Learning Engineer Jobs in Missouri

... remote work and setting your own schedule. We are looking for proficient programmers to help ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

Sr. Data Scientist

Saint Louis, MO · On-site +1

$120K - $150K/yr

... machine learning & optimization techniques; review & revise code to ensure quality and ... SQL, PySpark and Google BigQuery; designing & analyzing agronomic trial data, including ...

New

$88.40K - $106.10K/yr

We are currently looking for a Data Engineer in Netherlands. This role sits at the intersection of ... machine learning, and real-world scientific and business decisions. Working in a fully remote ...

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Remote Google Machine Learning Engineer information

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Missouri? The most popular types of Google Machine Learning Engineer jobs in Missouri are:
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Missouri? For Remote Google Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Google Machine Learning Engineer jobs? Cities in Missouri with the most Remote Google Machine Learning Engineer job openings:
Test Automation Engineer - AI Trainer

Test Automation Engineer - AI Trainer

DataAnnotation

California, MO • On-site, Remote

$60/hr

Full-time

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


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for proficient programmers to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization.

Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview).

If you pass that assessment, you'll receive an email confirmation, and paid work will become available to you through our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.Flexible schedule: choose which projects you take on and when you work.Competitive pay: projects are paid hourly, up to $60 USD/hour. Opportunities for higher-paying projects are available with strong performance.Impact: help shape the future of AI technologies.ResponsibilitiesDesign and solve diverse coding problems used to train AI systems with an emphasis on Android development.Write clear, high-quality code snippets and detailed explanations.Evaluate AI-generated code for accuracy, performance, and clarity.Provide feedback that directly shapes the next generation of AI models.QualificationsFluency in English (native or bilingual level).Preferred experience in Kotlin. Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.Excellent writing and grammar skills.A bachelor's degree (completed or in progress).Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Those located outside of these countries will not see work or assessments available on our site at this time.J-18808-Ljbffr