AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Interpreters and Translators

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Check software terms and documentation

    Use an agent to load software strings, help text, and technical documents, then suggest consistent target-language wording and flag terms that do not match the approved glossary.

  2. 2

    Build technical translation term list

    Use an agent to pull source passages, reference notes, and audience context into one working file, then build a reusable term list from dictionaries, lexicons, and terminology banks.

  3. 3

    Interpret private meetings in real time

    Use an agent to prepare meeting notes, speaker names, agenda items, and any approved terminology before a private bilingual meeting, then keep a running transcript or rough wording for your own review.

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O*NET-SOC 27-3091.00 · #134 of 923

Result context

How to read this result

Interpret oral or sign language, or translate written text from one language into another.

National position
#134 of 923 occupations
Top 15% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 80/100
Meaningful work covered
68%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Check software terms and documentation

How you could use an agent

Use an agent to load software strings, help text, and technical documents, then suggest consistent target-language wording and flag terms that do not match the approved glossary. The result is a cleaner translation set for you to review across the interface, manuals, and release notes before it is used.

Where you stay involved

You review the suggested wording, choose the final terms, and make sure the translation reads naturally in the target language. You also decide whether a product label or technical phrase needs special handling before release.

Review level: Medium

2

Build technical translation term list

How you could use an agent

Use an agent to pull source passages, reference notes, and audience context into one working file, then build a reusable term list from dictionaries, lexicons, and terminology banks. The result is a translation reference set that helps you keep technical terms steady across documents and revisions.

Where you stay involved

You decide which term is right, compare alternatives, and approve the final wording for the translation. You also resolve any term that remains unclear after the reference search.

Review level: Medium

3

Interpret private meetings in real time

How you could use an agent

Use an agent to prepare meeting notes, speaker names, agenda items, and any approved terminology before a private bilingual meeting, then keep a running transcript or rough wording for your own review. The result is a better-organized interpretation aid while you continue to interpret live and protect confidentiality yourself.

Where you stay involved

You listen to each speaker, interpret the message, and decide when to ask for repetition or clarification. You also keep confidential information private and handle any meaning issue that needs human judgment.

Review level: High

Documentation and coordination support

AI can assist without owning the physical outcome

These support steps are shown separately. They do not count as agentic workflows and do not increase this occupation's score.

Clarify source text meaning

Use an agent to compare a difficult source passage with related notes, reference material, and any author comments, then draft a few plain-language options for the tricky part. The result is a translation draft that helps you preserve the original meaning and tone while you decide which wording belongs.

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

74 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency81
AI capability86
Digital actionability82
End-to-end leverage80
Safety & reversibility67
Meaningful-work coverage
68%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
17 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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