EmergingInformation integrity, authenticity and democratic resilience

AI Election Integrity Specialist

Also called Synthetic Media Election Analyst

An AI Election Integrity Specialist assesses how synthetic media and impersonation could disrupt civic processes, and sets up verified, authorised ways to respond. They protect the company's reputation and the legitimate speech of its users.

What they do

They map where AI-generated content, cloned voices and impersonated officials could cause harm around voting and civic information. They red team products and policies to see how they could be misused. They run verification on suspect material, using provenance validators and media forensics, and record what is confirmed and what is not. They write response procedures that name who may act, on what evidence, and how fast. They brief legal, policy, product and communications teams in plain language. Much of this work already sits inside trust and safety or policy jobs.

What a strong hire delivers

In the first months, a strong hire delivers a clear risk assessment of how the product could be used to deceive voters or impersonate officials. They set up a verification routine the team can actually run under pressure. They agree authorised response procedures with legal and leadership, including who signs off. They also leave behind a record of decisions that shows legitimate expression was protected.

How you can tell they are good

Ask them to walk through a real or hypothetical incident, from first signal to final decision. Good candidates separate what is verified from what is suspected, and say what they would not act on. They can explain what provenance data proves and where it fails. They describe the cost of wrongly removing real speech as clearly as the cost of missing a fake. Be wary of anyone who treats detection tools as final answers.

Why it is hard to fill

Almost nobody holds this title yet. The work is usually done by someone with a different job label, so job boards turn up little. The skills are split across forensics, journalism, trust and safety and social research, and few people have all of them. Many candidates are strong on analysis but have never written a response procedure that others must follow. Others know operations but not synthetic media.

Where to find them

Look at digital forensics analysts, investigative and verification journalists, trust and safety leads and social researchers who study disinformation. Strong candidates also come from civic technology groups, election-focused nonprofits, platform policy teams and research groups at model providers. Check for people who have handled live incidents, not only written reports about them. Those who have worked with provenance standards are especially worth a call.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for an AI Election Integrity Specialist

  1. Describe a time you verified a piece of media under time pressure. What did you check, and what did you decide not to claim?

    Strong answers show a clear method, named evidence types and honest limits on confidence. They separate fact from inference. Worry if they rely on a single tool, overstate certainty, or cannot say what they left unconfirmed.

  2. What can content provenance data tell you, and what can it not tell you?

    Good answers explain that provenance shows origin and edit history when present, but missing data is not proof of fakery. They mention stripping, uneven adoption and spoofing. Worry if they treat it as a complete answer.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We build AI products that people use around civic life, and we take the risk of deception and impersonation seriously. We are hiring an AI Election Integrity Specialist to assess those risks, verify suspect content and set clear, authorised ways to respond.

What you will do

  • Assess how our products could be misused for election deception or impersonation
  • Red team features and policies against realistic civic misuse scenarios
  • Verify suspect media using provenance validators and media forensics
  • Write and maintain response procedures with clear sign-off and evidence thresholds
  • Brief legal, policy, product and communications teams in plain language
  • Record decisions so we can show legitimate expression was protected

What you will bring

  • Demonstrated work verifying media or investigating manipulation
  • Experience in digital forensics, journalism, trust and safety or social research
  • Working knowledge of content provenance and its limits
  • Experience red teaming or testing systems for misuse
  • Clear technical writing and communication
  • Sound judgement under time pressure with incomplete evidence

Nice to have

  • Experience handling live incidents involving impersonation
  • Work with civic or election bodies
  • Familiarity with provenance standards and verification tools

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Information integrityAdvancedAssess manipulated content and evidential authenticity
  • Content provenanceAdvancedMaintain traceable origin and transformations of media
  • AI red teamingWorkingTest systems adversarially under authorisation
  • Technical communicationWorkingExplain evidence and limitations to relevant readers

Other roles in information integrity, authenticity and democratic resilience

Hiring nowAI Content Provenance EngineerAn AI Content Provenance Engineer builds the systems that record where generated media came from and how it was edited. They help a company show…Hiring nowSynthetic Media Forensics AnalystA Synthetic Media Forensics Analyst investigates suspected fake or generated images, audio and video and reports what can be shown. Companies rely…EmergingAI Information Integrity ResearcherAn AI Information Integrity Researcher studies how misleading AI-generated content is made and spreads, then tests ways to catch or slow it. It…

Related roles in other families

Hiring nowRobotics Simulation EngineerSimulation, digital twins and physical AI assuranceA Robotics Simulation Engineer builds virtual environments where robots can be developed and tested, then proves those results hold on real…Hiring nowDigital Twin EngineerSimulation, digital twins and physical AI assuranceA Digital Twin Engineer keeps a virtual model of a physical asset or process accurate and useful. The company gets predictions it can trust for…Hiring nowSim-to-Real ResearcherSimulation, digital twins and physical AI assuranceA Sim-to-Real Researcher cuts the failures that appear when a policy trained in simulation meets a physical system. It matters because a robot that…EmergingPhysical AI Validation EngineerSimulation, digital twins and physical AI assuranceA Physical AI Validation Engineer tests whether learned robot behaviour stays safe at its limits. They give the company evidence to decide if a…

How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

← Information integrity, authenticity and democratic resilienceAll new job families

Start a search

Hiring an AI Election Integrity Specialist?

Tell us the work. We find the people already doing it, whatever their job title says, and you meet them already interviewed for your role.