Average skill proficiency of artificial intelligence (AI) engineers worldwide 2024

Average skill proficiency of artificial intelligence (AI) engineers worldwide in 2024

CharacteristicDevSkiller proficiency score
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Statistic: Average skill proficiency of artificial intelligence (AI) engineers worldwide in 2024
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DevSkiller

Release date

2024

Region

Worldwide

Survey time period

January 1 to June 30, 2024

Number of respondents

15,337 respondents

Special properties

Employed IT professionals

Supplementary notes

The DevSkiller assessment scale features five proficiency levels for assessing skills by job position. The clean slate (0%) level indicates that the skill has not been rated or assessed. At the basic (≥20%) level, the user has no competence in the area and requires full supervision to complete tasks. Users at the intermediate (≥50%) level can complete standard tasks independently but still need supervision in non-standard scenarios. The advanced (≥70%) level signifies the ability to complete all tasks unassisted, with no supervision required for non-standard situations. Finally, at the expert (100%) level, users can mentor others, create new standards, and continuously grow their expertise in the area.

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