Future Major Career guide

AI Data Annotator

🏷️Labels images, text and audio to train neural networks: outlines objects, rates chatbot answers, corrects model mistakes.

Prospects & pay

Prospects↘ demand falling
Payvery low
Pay ceilinglow
AI resistancebeing automated at scale
Entry difficultyStudy ≈ 0 years

What the work is like

Peoplesolo
Creativityby the book
Physical worksitting
Risksafe
Stresscalm
Routineclear routine
Travelat home
Remote workfully from home

💼 Job market

🇺🇸 $45.1k a year on average · -25.5% jobs by 2035 · 7,700 openings a year
Data entry keyers — US: Census ACS 2020–24 (full-time), BLS projections 2025–35

🇬🇧 £28.3k median a year · 12,000 jobs
Data entry administrators — UK: ONS ASHE 2025 (full-time)

Vacancies: LinkedIn · Indeed 🇺🇸 · Indeed 🇬🇧

🤖 AI & automation

Models already handle simple labelling themselves. Expert annotation remains (doctors, lawyers and coders rating AI), but as a side job to a main career.

Who it suits

Interests: 🗂️ Order, paperwork, systems, 💻 Coding and digital, ✍️ Writing and literature.

Key strengths: attention to detail, organisation.

Where to study

Key school subjects (A-level / IB / AP): English Literature, Computer Science.

🧗 Basic labelling needs only school and online onboarding. Only expert annotation pays well, and it requires a degree and experience in a field such as medicine, law or coding.

Things to know

🪑 Sitting at a computer all day

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Scales are expert estimates; tuition and admission rules are for 2026/27 from official sources — always check the university website.