Remote AI Training Jobs

What the data says about remote and on-site AI training work

The key findings of On-Site AI Training Work, our research over 3 Oct 2026 to 30 Oct 2026, rebuilt every day. Every figure opens the row it is read from.

1. 2.2% of the 4,379 AI training roles open on 30 Oct 2026 (95) must be done on-site or hybrid; 95.9% are remote and 1.9% do not say.
2. 83 open roles state no arrangement in their title, location or workplace field, 30.1% of them at Mindrift, so the remote share is a floor.
3. Robotics & Physical-AI Data has the largest on-site share of any kind of work with enough open roles to read on its own (10%, 10 roles); 9 kinds of work have any on-site roles at all.
4. 10 platforms list on-site roles; Welo Data lists the most (36, 37.9% of all on-site roles).
5. On-site roles are open in 6 countries; the United States has the most (69, 72.6%), and the place named most is the San Francisco Bay Area (50 roles).
6. Read from their titles, the largest groups of on-site roles are in-person data collection (27 roles, 28.4%) and data labelling and quality work (19, 20%).
7. Within the same kind of work, on-site roles advertise 48.9% more than remote ones on average (weighted by on-site roles, across 5 kinds of work with at least 3 priced roles on each side: Data Annotation & Labeling $34 against $20, Law, Medicine & Finance $88 against $72, Transcription, Audio & Speech $28 against $30, Multilingual & Localization $32 against $33 and Robotics & Physical-AI Data $50 against $10).

The full report, with its 7 figures, method and monthly editions →