Deep Learning Daily Rates in Germany

Compare the average daily rate of a freelance Deep Learning expert with related technologies and cities in Germany, calculated live from the freelancers on FRATCH.

Among the 4 cities compared, average daily rates range from:

341 € for Nuremberg → 912 € for Hamburg

Countrywide average:

690 € per day

Hamburg Munich Berlin Nuremberg

130 260 390 520 650 780 910 €/day

What the benchmark shows

Location shifts the picture as well: across the cities in Germany, average daily rates differ by up to 571 € — around 83% of the countrywide average. Dense metropolitan markets usually carry a premium over the national rate, smaller ones a discount; the chart below shows where each city lands.

Frequently asked questions

Questions about Deep Learning? Start with the answers below.

The average daily rate for Deep Learning in Germany is 690 € with a median of 684 €, based on an 8-hour working day — that corresponds to an average of 86 € per hour.

Based on the average daily rate of 690 €, a full-time month of 21 working days corresponds to about 14,485 € — the underlying hourly rate is 86 €.

The average of 690 € sits about 6 € per day above the median of 684 € (86 € versus 86 € per hour): a smaller number of high-priced specialists pulls the average up, while the median marks the typical middle of the market — half of the freelancers charge less, half charge more.

Between Nuremberg (341 €) and Hamburg (912 €) the difference is about 571 € per day, roughly 71 € per hour — around 83% of the countrywide average of 690 €.

Hamburg shows the highest average of the 4 cities compared, at 912 € per day (114 € per hour) — about 32% above the countrywide average of 690 €.

Nuremberg shows the lowest average of the cities compared, at 341 € per day (43 € per hour) — about 51% below the countrywide average of 690 €.

All figures are calculated live from the hourly rates of the freelancers on FRATCH matched to Deep Learning and its related technologies and locations; daily rates assume an 8-hour working day. The average is a weighted mean with outliers trimmed, the median is the middle value of the individual rates, and both refresh continuously as freelancer profiles change.