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Ontology Engineer

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April 29, 2024 4 minute read

Ontology Engineer is a career that is responsible for designing, creating, and maintaining ontologies, which are formal representations of knowledge that can be used to improve the accuracy and efficiency of computer systems. Ontology Engineers use their knowledge of ontology languages and modeling techniques to create ontologies that can facilitate knowledge sharing and reuse. This role is becoming increasingly important as the amount of data available to businesses and organizations continues to grow rapidly.

What does an Ontology Engineer do?

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Salaries for Ontology Engineer

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$146,000

$187,000

$242,000

$187,000

San Francisco

$120,000

$149,000

$187,000

$149,000

Seattle

$140,000

$178,000

$225,000

$178,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$146,000

$187,000

$242,000

$187,000

San Francisco

$120,000

$149,000

$187,000

$149,000

Seattle

$140,000

$178,000

$225,000

$178,000

Austin

$129,000

$165,000

$213,000

$165,000

Toronto

$120,000

$144,000

$182,000

$144,000

London

£60,000

£90,000

£124,000

£90,000

Paris

€45,000

€54,000

€62,000

€54,000

Berlin

€70,000

€85,000

€104,000

€85,000

Tel Aviv

₪436,000

₪513,000

₪635,000

₪513,000

Singapore

S$115,000

S$162,000

S$204,000

S$162,000

Beijing

¥367,000

¥492,000

¥634,000

¥492,000

Shanghai

¥338,000

¥442,000

¥592,000

¥442,000

Bengalaru

₹435,000

₹781,000

₹1,380,000

₹781,000

Delhi

₹235,000

₹353,000

₹495,000

₹353,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Ontology Engineer

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We've curated one courses to help you on your path to Ontology Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Practical Knowledge Modelling: Ontology Development 101

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