Alaska

Data Jobs in Alaska

4 jobs found

Include remote jobs

1mo ago

Research Data Scientist - AI Trainer

DataAnnotation Anchorage, AK 🇺🇸 Remote

Anchorage, AK

1mo ago Closed

$50 - $100/hr Contract Ai Trainer Artificial Intelligence Data

This position is no longer accepting applications (closed Sep 8, 2026).

Job Description

DataAnnotation is hiring an existing Research Data Scientist - AI Trainer to support the training of AI systems focused on quantitative reasoning. In this fully remote contract role, you will assess AI-generated analytical work and deliver feedback that helps models improve accuracy and real-world validity for data- and science-related problems.

Based in Anchorage, AK (remote), this position offers flexible scheduling and hourly compensation, with work completed on your own computer.

What you’ll do

Review AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring technical accuracy and real-world validity.
Create and solve quantitative problems used to train and benchmark AI systems across areas such as forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and well-documented analytical code.
Provide targeted feedback that directly influences the next generation of AI models built for quantitative reasoning.

What you bring

3+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a closely related field.
Coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design, including examples like A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
English fluency (native or bilingual) and strong writing skills.
A bachelor’s degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar). A Master’s or PhD is a plus.
Relevant credentials are a plus, such as Kaggle competition ranking or AWS/GCP ML certifications, or equivalent demonstrated expertise.

Contract details

Job type: contract
Location: Anchorage, AK (remote)
Compensation: USD 50 to 100 per hour (hourly projects)
Work arrangement: fully remote

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, from your own computer.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape AI systems that reason about data and analytics.

Note: Payment is made via PayPal. DataAnnotation will never ask for any money from you. This contract is only available to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand.

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1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Alaska 🇺🇸 Remote

Alaska

1mo ago Closed

$50 - $100/hr Contract Senior Ai Ml Ai Trainer

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

This remote, contract role at DataAnnotation is based in Alaska and focuses on advancing AI systems through rigorous evaluation of quantitative analyses and constructive feedback to improve AI reasoning.

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred; an advanced degree (Master’s or PhD) a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Technologies

Kaggle
AWS
GCP

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and work on your own terms from your home.
Competitive pay: hourly rates from 50 to 100 USD, with potential bonus rates on certain projects.
Impact: contribute to the development of AI systems designed to reason about data and analytics.

Note

Payment is made via PayPal. We will never ask for money from you. This role is open to contractors located in the US, Canada, UK, Ireland, Australia, and New Zealand.

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1mo ago

Mathematical Statistician (Data Scientist) - Direct Hire

US Internal Revenue Service Anchorage, AK

Anchorage, AK

1mo ago Closed

$75k - $173k/yr Full time Analytics Crisp Dm Data Analysis

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

Direct Hire opportunity for a Mathematical Statistician (Data Scientist) with the U.S. Internal Revenue Service in Anchorage, AK (onsite), offering a salary range of USD 74,678 to 172,980 per year.

Responsibilities

Develop and evaluate statistical models, sampling methods, forecasting, classification, and other quantitative approaches to identify trends, assess program performance, measure outcomes, and support evidence-based decisions; identify data sources, assess quality, and perform data preparation and integration.
Conduct research studies, exploratory analyses, hypothesis testing, model validation, sensitivity analyses, and other statistical investigations to produce defensible, actionable findings; integrate and analyze data from multiple internal and external sources.
Review research proposals and provide recommendations to management; prepare technical reports, briefing materials, presentations, and documentation describing methodologies, assumptions, findings, limitations, and recommendations.
Define study objectives, develop project methodologies, establish analytical requirements, and select appropriate statistical techniques to meet goals; ensure analytical products are technically sound, reproducible, and aligned with objectives.
Serve as a technical consultant to managers, analysts, program officials, and project teams on statistical methodologies, research design, data science applications, quantitative analysis, and interpretation of results.

Requirements

U.S. Citizenship – Must be a U.S. Citizen or National and provide proof of citizenship.
Selective Service Registration – Males born after December 31, 1959 must be registered or exempt.
Personal Identity Verification (PIV) – Provide 2 forms of identification from Form I-9, unexpired originals or certified copies.
Minimum age – Federal employment minimum is 18, or 16 with high school graduation or equivalent.
IOR BASIC REQUIREMENTS for GS-1529 Mathematical Statistician (Data Scientist) – Degree with at least 24 semester hours in mathematics/statistics (12 math, 6 statistics) or an equivalent combination of education and experience.
Education substitute for specialized experience – Three full academic years of graduate study in mathematics, statistics, or related fields; or Ph.D. or equivalent doctoral degree; or combination of education and experience.
GS-1529-11 specialized experience – One year at GS-09 level; data mining using CRISP-DM or SEMMA; working with structured and unstructured data; applying ML, NLP, graph theory, and deep learning; coding in R, Python, SQL, or Java.
GS-1529-12 specialized experience – One year at GS-11 level; applying statistical theories to design, data analysis, forecasting, and operations research; data mining with CRISP-DM/SEMMA; ML, NLP, graph theory, deep learning; coding in R/Python/SQL/Java; working with multiple data types; data visualization.
GS-1529-13 specialized experience – One year at GS-12 level; project management on data science projects; planning and executing analytics projects; data mining with CRISP-DM/SEMMA; structured/unstructured data; ML/NLP; coding in R/Python/SQL/Java; creating/querying datastores; data visualization.
Additional requirements described in qualifications or additional information sections apply.

Technologies

R
Python
SQL
JAVA
Sybase
Oracle
CRISP-DM
SEMMA

Benefits

Comprehensive federal benefits package
Eligibility for benefits depends on position type (full-time, part-time, or intermittent)

This job is open to

The public: U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Career transition (CTAP, ICTAP, RPL): Federal employees eligible for priority over other applicants due to job elimination
Clarification from the agency: Open to U.S. Citizens/Nationals

Education

Foreign education: Education completed in foreign colleges or universities may meet requirements; provide proof credentials are at least equivalent to U.S. education and evidence when applying; see Foreign Education Credentialing instructions.
Evaluator guidance: Consider using a evaluator from NACES or AICE member organizations.

Additional Information

Suitability: Prior IRS employment may require screening; Taxpayer First Act restrictions apply.
Tax check: Must undergo income tax verification; check status via IRS transcript portal.
Fingerprint/Criminal history: Background investigation and Continuous Vetting; enrollment in FBI Rap Back service.
Direct Hire Authority (DHA) used for this vacancy.
Building closures may shift hires to a local commuting location.
Additional jobs may be filled from this announcement or other sources.
Alternative work schedules may be available.
Salary: GS Locality Pay; COLA applies for Anchorage and listed locations.
Open continuous announcement with cutoff dates; initial cutoff by 7/20/2026; more dates may be added.
Projected to fill a large number of vacancies from this announcement.

How you will be evaluated

Evaluation based on how well you meet the qualifications above.
Direct Hire Authority methodology excludes competitive rating, ranking, and veterans' preference procedures.
Qualifications assessed from application materials, questionnaire responses, and required assessments.
Competencies evaluated include knowledge, skills, abilities, and other characteristics.

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3mo ago

Machine Learning Engineer

Openkyber Alaska

Alaska

3mo ago Closed

Full time Bpm DevOps Java Language

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Machine Learning Engineer at Openkyber, onsite in Alaska, focusing on enterprise-scale automation and PEGA BPM solutions with leadership in migrations, digital transformation, and cross-functional delivery.

Responsibilities

Deep experience delivering system migrations, automation workflows, and complex backend processes, with disaster recovery planning across financial, healthcare, and technology sectors.
Proven success in enterprise architecture, digital transformation initiatives, and global program management, guiding cross-functional teams and coordinating onshore and offshore delivery models.
Proficient in resource planning, leading teams, and engaging stakeholders to ensure quality, timely delivery, and cost efficiency.
Spearhead PEGA platform migrations and consolidation initiatives, delivering multi-million dollar operational savings while enhancing workflow automation and system resiliency.
Certified Scrum Master, PEGA CSA/CSSA, and SAFe Practitioner, with a track record of delivering projects ahead of schedule through strategic planning, clear communication, and process optimization.
Solid grounding in networking and database management systems, data security and risk management, with experience in cross-functional Agile teams to foster collaboration and manage global project deliveries across geographies.

Requirements

Certified Scrum Master
PEGA CSA/CSSA
SAFe Practitioner
Solid understanding of networking and DBMS
Data security and risk management
Experience in cross-functional Agile teams
Experience managing global project deliveries across geographies
PEGA
BPM
Java software development
IBM WebSphere
Java
Kafka
Webhooks
Asynchronous API design
Jenkins
CI/CD
SQL
Rally
JIRA
Confluence

Technologies

PEGA
BPM
Java
IBM WebSphere
Kafka
Webhooks
Asynchronous API design
Jenkins
CI/CD
SQL
Rally
JIRA
Confluence

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Data Jobs in Alaska

Research Data Scientist - AI Trainer

Senior Data Scientist - AI Trainer

Mathematical Statistician (Data Scientist) - Direct Hire

Machine Learning Engineer

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