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Artificial Intelligence Machine Learning Jobs in Alaska

Sedgwick

Senior and Applied/Agentic AI Engineer

Minto, AK · On-site

$108K - $148K/yr

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. 7-10+ years of experience in AI engineering, machine learning systems ...

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Artificial Intelligence Machine Learning information

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$15

$28

$52

How much do artificial intelligence machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for artificial intelligence machine learning in Alaska is $28.38, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $30.05 per hour, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What is AI ML salary?

The salary for artificial intelligence and machine learning professionals varies based on experience, location, and skill level, but typically ranges from $80,000 to over $150,000 annually. Entry-level roles may start around $70,000, while experienced specialists with advanced skills in deep learning, data analysis, and programming can earn higher salaries, especially in tech hubs or companies with specialized AI projects.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, and AI Research Scientist. These positions typically require knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis.

Is AI ML a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions usually involve strategic decision-making, overseeing AI development projects, and may require advanced degrees and industry certifications. Compensation at this level reflects significant responsibility and impact within organizations or tech companies.
What are popular job titles related to Artificial Intelligence Machine Learning jobs in Alaska? For Artificial Intelligence Machine Learning jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning jobs in Alaska look for? The top searched job categories for Artificial Intelligence Machine Learning jobs in Alaska are:
Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Alaska as of July 2026, with employment types broken down into 65% Full Time, 14% Part Time, 7% Temporary, 7% Contract, and 7% Nights. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $59,020 per year, or $28.4 per hour.
Lead Data Scientist (Artificial Intelligence/Machine Learning)

Lead Data Scientist (Artificial Intelligence/Machine Learning)

Internal Revenue Service

Anchorage, AK • On-site, Remote

$125K - $197K/yr

Full-time

Posted 14 days ago

Internal Revenue Service rating

7.7

Company rating: 7.7 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

106th of 283 rated public sector bodies

Job description

Summary
WHAT IS INFORMATION TECHNOLOGY ?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Taxpayer Services and Online Accounts

  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS
Learn more about this agency
Duties
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The following are the duties of this position at the full working level.
  • Serves as a Senior Data Scientist by leading advanced analytics projects, defining objectives, coordinating deliverables, evaluating team performance, and resolving challenges to ensure project success. Manages day to-day team operations, and driven outcomes aligned with the organization's goals. Responsibilities include obtaining approvals on project documentation, conducting code and model reviews, and ensuring project delivery acceptance. Communicates findings effectively, providing insights and training on complex analytics solutions to business partners at all levels.
  • Collaborates with senior leaders, technical teams, and non-technical staff to address policy interpretations and translate technical challenges into actionable solutions. Champions IT's digital transformation with a focus on customer-centric, data-driven initiatives, ensuring the analytics environment evolves to meet business needs. Leads efforts to certify datasets, optimize processes for data extraction, transformation, governance, and cataloguing, and accelerate time-to-insights for business decision-making.
  • Applies advanced knowledge of computer science, mathematics, and statistical theories to construct new analytical processes, interpret models, and report quantitative trends and relationships. Leads digital data and analysis efforts to enhance customer strategies, support platform development, and improve user experiences throughout the customer lifecycle. Ensures reports, analyses, visualizations, and dashboards accurately reflect critical information for digital services.
  • Collaborates closely with managers and executives to advance IT analytics roadmaps, delivering enhanced data capabilities that support strategic business objectives.

Requirements
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Conditions of employment
  • Probationary Period - All newly appointed employees to the competitive (or excepted) service are subject to a probationary (or trial) period. During this time, your performance, conduct, and suitability for continued employment will be evaluated. You will not automatically convert to permanent status at the end of the probationary (or trial) period. Your supervisor must affirmatively determine that continued employment is in the best interest of the Federal service. If no certification is made before the probationary (or trial) period ends, your appointment will be terminated. You are encouraged to actively engage with your supervisor, seek feedback, and understand role expectations. Additional guidance and support will be provided during onboarding.
  • Probationary Period - A person who is required to go through a probationary period and then is transferred, promoted, demoted, or reassigned before he or she completes such period is required to complete the remainder of the probationary period in the new position.
  • Government Credit Card - Obtain and use a Government-issued charge card for business-related travel.

Key Eligibility Requirements:
  • U.S Citizenship - Must be a U.S. Citizen or National and provide proof of U.S. Citizenship.
  • Selective Service Registration - Males born after December 31, 1959 are required to be registered with the Selective Service System or prove they are exempt from having to do so.
  • Personal Identity Verification (PIV) - Must provide 2 forms of identification from the Form I-9. Federal law requires verification of the identity and employment eligibility of all new hires in the U.S. These documents must be unexpired original or certified copies

ADDITIONAL REQUIREMENTS SHOWN IN QUALIFICATIONS OR ADDTIONAL INFORMATION SECTIONS
Qualifications
Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:
  • Designing, developing, integrating, testing, and supporting conversational AI solutions, virtual assistants, chatbots, digital messaging platforms, voice automation, interactive voice response (IVR) platforms, or generative AI-enabled customer engagement solutions in a production environment.
  • Developing and optimizing natural language understanding (NLU), natural language processing (NLP), speech recognition, intent classification, entity recognition, conversational workflows, or automated self-service solutions supporting customer interactions across voice and digital channels.
  • Designing, testing, implementing, and refining prompt engineering strategies, generative AI workflows, large language model (LLM) integrations, and AI-assisted customer engagement capabilities to improve automation, containment, customer experience, and operational outcomes.
  • Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data platforms, or knowledge management solutions.
  • Demonstrating subject matter expert (SME)-level proficiency in at least one modern programming language such as Java or Python, including development of backend services, automation, integrations, data processing pipelines, or conversational application logic.
  • Analyzing customer interaction data, conversation transcripts, chat sessions, operational metrics, and user behavior to identify trends, improve AI performance, evaluate model effectiveness, and enhance customer experience outcomes.
  • Developing, querying, and analyzing large datasets using cloud-based analytics platforms and data warehouses to support AI model evaluation, operational reporting, and business decision-making.
  • Troubleshooting and resolving complex system integration, application reliability, authentication, speech processing, conversational AI, generative AI, digital engagement, or performance issues across interconnected platforms.
  • Applying DevSecOps, CI/CD pipelines, automated testing, version control, and agile software development practices in enterprise environments.
  • Collaborating with business stakeholders, architects, engineers, cybersecurity personnel, data scientists, and operations teams to translate business requirements into AI-enabled technical solutions.

AND
You must also meet the following requirement(s):
  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.
Education
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).
Additional information
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
  • In the event that a building is closed due to rent management, new hires may be placed in a local commuting location.
  • Additional jobs may be filled from this announcement or any other source to fill these vacancies.
  • Alternative work schedule, staggered work hours may be available.
  • Salary: General Schedule (GS) Locality Pay tables may be found under Salaries & Wages.
  • Cost-of-Living Allowances (COLA): Puerto Rico includes COLA. See COLA Rates 2026.
  • Formal Development Plan - If this position is covered by a formal development plan, pay retention will be offered where applicable based on law and regulation.

Suitability Requirements:
  • Prior IRS Employment - Former employees will be subject to a screening of their prior conduct with the Service. The Taxpayer First Act of 2019, 26 U.S. Code 7804, prohibits the IRS from rehiring certain former employees who were removed from service.
  • Tax Check - Must undergo a review of income tax verification. To check the status of your tax record go to: (https://www.irs.gov/individuals/get-transcript). If you are not in compliance, you will be determined unsuitable for employment with IRS.
  • Fingerprint/Criminal History Check - This position requires that the successful candidate undergo personnel vetting, which includes a background investigation and enrollment upon onboarding into "Continuous Vetting." Enrollment in Continuous Vetting will result in automated record checks being conducted throughout one's employment with Treasury. The successful candidate will also be enrolled into FBI's Rap Back service, which will allow Treasury to receive notification from the FBI of criminal matters (e.g., arrests, charges, convictions) involving enrolled individuals in near real-time. For more information regarding your rights refer to Noncriminal Justice Applicant's Privacy Rights - FBI, FD-258 Privacy Act Statement - FBI, and SEAD-3-Reporting-U.pdf (dni.gov).

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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
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