AI exposure by occupation, O*NET 33-3021.02

Will AI replace Police Identification and Records Officers?

Police Identification and Records Officers: AI can already handle 1 of 16 tasks; the work mostly needs an efficient-tier model.

Have a team in this role?

Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.

Every task, scored

The 16 tasks O*NET 30.3 lists for Police Identification and Records Officers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Maintain records of evidence and write and review reports. 65 Estimated Efficient 4.5
Serve as technical advisor and coordinate with other law enforcement workers or legal personnel to exchange information on crime scene collection activities. 50 Estimated Standard 3.7
Coordinate or conduct instructional classes or in-services, such as citizen police academy classes and crime scene training for other officers. 50 Estimated Frontier 3.4
Photograph crime or accident scenes for evidence records. 30 Estimated Efficient 4.6
Submit evidence to supervisors, crime labs, or court officials for legal proceedings. 30 Estimated Efficient 4.4
Testify in court and present evidence. 30 Estimated Efficient 4.4
Look for trace evidence, such as fingerprints, hairs, fibers, or shoe impressions, using alternative light sources when necessary. 30 Estimated Efficient 4.3
Identify, compare, classify, and file fingerprints, using systems such as Automated Fingerprint Identification System (AFIS) or the Henry Classification System. 30 Estimated Efficient 4.3
Analyze and process evidence at crime scenes, during autopsies, or in the laboratory, wearing protective equipment and using powders and chemicals. 30 Estimated Efficient 4.2
Package, store and retrieve evidence. 30 Estimated Efficient 4.2
Process film and prints from crime or accident scenes. 30 Estimated Efficient 4.1
Take fingerprints. 30 Estimated Efficient 4.0
Perform emergency work during off-hours. 30 Estimated Efficient 3.9
Interview survivors, witnesses, suspects, and other law enforcement personnel. 30 Estimated Efficient 3.8
Create sketches and diagrams, by hand or computer software, to depict crime scenes. 30 Estimated Standard 3.6
Dust selected areas of crime scene and lift latent fingerprints, adhering to proper preservation procedures. 8 Estimated No tier 4.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 16 of 16. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

An efficient-tier model or lower covers 77% of the role's importance-weighted task work. 94% of the work is something AI can address at some tier, and 7% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
114,430
Median annual wage
$93,790
Middle half of earners
$69,330 to $120,520
Projected change, 2024 to 2034
-0.7%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Police Identification and Records Officers and AI

Will AI replace Police Identification and Records Officers?

AI already handles 1 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 33 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -0.7% from 2024 to 2034.

What is the AI exposure of Police Identification and Records Officers?

33 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 16 are estimated from each task's O*NET work activity.

Which Police Identification and Records Officers tasks can AI already do?

The tasks with the highest exposure are: Maintain records of evidence and write and review reports. It is the only task that reach 60 or more.

What AI model tier does this role need?

An efficient-tier model or lower covers 77% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Police Identification and Records Officers, and what do they earn?

114,430 people in the United States, with a median annual wage of $93,790 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -0.7% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Police Identification and Records Officers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/police-identification-and-records-officers

Have a team in this role?

Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.

A founder replies within one business day.