AI Software Engineer

kr 1 057 135 (NOK)/yr

kr 508,24 (NOK)/hr

kr 17 126 (NOK)/yr

The average ai software engineer gross salary in Fredrikstad, Norway is kr 1 057 135 or an equivalent hourly rate of kr 508. This is 5% lower (-kr 61 039) than the average ai software engineer salary in Norway. In addition, they earn an average bonus of kr 17 126. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Fredrikstad, Norway. An entry level ai software engineer (1-3 years of experience) earns an average salary of kr 791 528. On the other end, a senior level ai software engineer (8+ years of experience) earns an average salary of kr 1 176 412.

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Salary Potential

kr 1 211 993 (NOK)

15 %

Based on our compensation data, the estimated salary potential for AI Software Engineer will increase 15 % over 5 years.

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City Overview

Fredrikstad, Norway

The cost of living in Fredrikstad, Norway is 5% less than the average cost of living in Norway. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Fredrikstad (Norwegian: [ˈfrɛ̀drɪkstɑ] ; previously Frederiksstad; literally "Fredrik's Town") is a port city and municipality in Østfold county, Norway. The administrative centre of the municipality is the city of Fredrikstad. The city of Fredrikstad was founded in 1567 by King Frederick II, and established as a municipality on 1 January 1838 (see formannskapsdistrikt). The rural municipality of Glemmen was merged with Fredrikstad on 1 January 1964. The rural municipalities of Borge, Onsøy, Krå

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This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Designs, engineers, and ships AI-powered software features and services from prototype to production. Incorporates machine learning (including foundation models) into scalable applications, owns model and data pipelines end-to-end, and assures reliability, safety, and measurable business impact in collaboration with product, platform, data, and security teams. Implements and fine-tunes models (e.g. transformer/LLM, NLP, CV, recommendation) using frameworks.
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