A Data Annotator carries a 73/100 AI replacement risk (high). AI can already handle data entry and record-keeping; Resolving exceptions still needs a person. Of exposed work, ~71% is automation vs 29% augmentation. Capability clock: ~4 months. (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Data Annotator?

AI replacement risk: 73/100 (high risk). High exposure — AI can already handle a large share of this role’s tasks.

Timeline: Happening now. Of the exposed work, roughly 71% is likely to be automated and 29% augmented. $766.5M/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 78%. Robot/physical-automation exposure: 5%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~9.6h of human work) ~4 months — projected from METR's ~4.3-month doubling.

Pressure Index: 67/100 (medium) — blends risk, demand trend, and real-world evidence. Job postings down 30% vs 2020.

AI tools targeting this role

Layoff signal: moderate — AI coding tools raise per-engineer output, with some companies citing slower junior hiring.

Tasks at risk

Tasks that still need a human

Skills that protect you

Safer adjacent careers

Machine Learning Engineer (37%) · Quantitative Analyst (37%) · Data Engineer (38%) · Data Scientist (40%)

Related jobs

IT Support Specialist (62%) · Technical Support Engineer (62%) · Web Developer (54%) · Computer Systems Analyst (53%)

Category: Technology · Methodology · Download the dataset

ReplacedYet AI-Risk Index. Last updated 2026-06-26. AI-estimated and directionally useful, not a guarantee.