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Junior Machine Learning Engineer Jobs in Alaska (NOW HIRING)

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 ...

... 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 ...

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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

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Junior Machine Learning Engineer information

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$36.1K

$77.3K

$117.9K

How much do junior machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for junior machine learning engineer in Alaska is $77,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $86,200.00 per year, depending on experience, location, and employer.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What are the most commonly searched types of Machine Learning Engineer jobs in Alaska? The most popular types of Machine Learning Engineer jobs in Alaska are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Alaska? For Junior Machine Learning Engineer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Alaska look for? The top searched job categories for Junior Machine Learning Engineer jobs in Alaska are:
Infographic showing various Junior Machine Learning Engineer job openings in Alaska as of May 2026, with employment types broken down into 78% Full Time, 12% Part Time, 4% Temporary, 5% Contract, and 1% Nights. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $77,324 per year, or $37.2 per hour.
Mobile Software Engineer

Mobile Software Engineer

DataAnnotation

Juneau, AK • On-site, Remote

$50/hr

Full-time

Posted 18 days ago


Job description

Overview 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. Benefits Fully 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, starting at $50+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

Impact: help shape the future of AI technologies. Responsibilities Design 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. Qualifications Fluency 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. Notes 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. #coder #J-18808-Ljbffr