AI Training Data Manager
Impact: AI model quality and reliability through expert training data management and governance
Oversee the collection, labelling, quality assurance, and governance of training datasets used to build and fine-tune AI and machine learning models. Manage annotation teams and vendors, design labelling guidelines, and ensure data quality standards are met to produce reliable, unbiased AI systems.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- 10 to 20% for vendor visits and team management
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40 to 55 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $150,000
- Entry-level
- $85,000 - $115,000
- Senior
- $240,000+
- Growth by 2033
- 25% (faster than average)
- Demand
- Growing
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- Low
Skills you'll use
Hard skills
- 60
Soft skills
- 40
Technical complexity: Moderate
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 2 to 4 years
- Years to senior
- 5 to 8 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Data Analyst > AI Training Data Manager > Senior Training Data Manager > Head of Data Labelling > Director of AI Data
Future outlook
- Automation probability
- 25% moderate risk as automated labelling tools reduce manual annotation needs
- AI disruption risk
- Moderate
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 7/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7/10
- Social perception
- High