💡 Why it matters: An AI system is only as good as the examples it learns from and the checks it faces. People who gather good data and test the answers help make tools fairer and more accurate.
🌍 Around the world
- United States: Jobs for data scientists are projected to grow 35% from 2025 to 2035, much faster than average (US Bureau of Labor Statistics).
💰 What it can pay
🇳🇬 Nigeria
- Starting out
- ₦1M – ₦3M
- Mid-career
- ₦3M – ₦8M
- Senior
- ₦8M – ₦18M
≈ ₦250k – ₦667k a month mid-career. Indicative estimate by Incusim.
🇬🇧 United Kingdom
No official figure found yet.
🇺🇸 United States
No official figure found yet.
🇨🇦 Canada
No official figure found yet.
Yearly pay before tax. UK, US and Canada figures come from the official sources named on each card. Nigeria has no official salary survey, so those are our indicative estimates. Real pay depends on the employer, the place, your skills and experience.
🛠️ What you actually do
- Collect and clean data such as text, images and audio
- Label examples so an AI can learn what is right and wrong
- Check data for mistakes, gaps and unfair bias
- Test AI answers against clear quality rules and report errors
- Work with engineers to improve the data when the AI gets things wrong
⚡ Skills you'll need
- Attention to detail
- Critical thinking
- Spreadsheets and basic coding
- Clear writing
- Fairness and judgement
Get ready at school
🇳🇬 Nigeria
- Entry roles in data entry, data analysis or data labelling teams
- Online courses and small data projects as a portfolio
🇬🇧 United Kingdom
- Data analyst or data technician apprenticeship
- Starting in an AI data labelling or quality testing role
🇺🇸 United States
- Starting in a data annotation or quality review role
- Moving up from data analyst
🇨🇦 Canada
- Entry roles in data analysis or quality testing
- Online courses and a portfolio of small projects
🗺️ Your path to this career
- 1Get comfortable with maths, spreadsheets and careful checking
- 2Learn basic Python and how to work with data
- 3Study data, statistics or computer science, or complete a data course
- 4Try labelling or quality-testing work and build a small data project
- 5Join an AI or data team and grow into leading data quality
⏰ A day in the life
You review a batch of chatbot answers and score each one for accuracy and tone. You notice that the examples about farming are mostly wrong, so you flag the pattern and help gather better examples. Then you update the quality rules so other reviewers score the same way.