Data & AI Jobs at Robotics & Manufacturing Startups

There are 90 open data and AI roles at 51 early-stage startups, 17% of them remote. Where pay is stated it is typically USD 200k to 275k, with a median of USD 225k.

What startups in robotics and manufacturing build

Startups here build robots, factory software and the chips and compute that run them. Getting out of the lab is the whole challenge, so prototyping and testing take up much of the calendar. Roles cross mechanical, electrical and software work, and teams are small enough that people move between them.

Who is hiring data and AI roles

Open roles by startup. Select a startup to see its jobs.

  • 90open roles
  • 51startups hiring
  • 17%remote

Salary

Annual pay for this page’s roles that state a salary, in USD. The typical range covers the middle half of those postings.

  • $225Kmedian pay
  • $200Ktypical range: lower
  • $275Ktypical range: upper

Based on 36 postings stating pay in USD.

Pay figures come from the 36 postings on this page that state a salary.

The hiring market

Experience

Most roles are lead: 35% of those that state a level. 31% are junior or intern.

What data and AI work involves at an early-stage startup

The data is messy and there is not much of it yet. You build the pipeline, train the model, then explain the result to a founder in plain words. Large employers give you a clean warehouse and one narrow question, while here you pick the question too.

Experience level

Open roles by the experience the posting asks for.

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Questions people ask

How much do data and AI jobs pay?

Typically USD 200k to 275k a year, with a median of USD 225k, where the posting states a salary.

Which startups are hiring data and AI roles?

RoboForce (5 roles), Skild AI (5) and CuspAI (4) have the most; 51 startups are hiring in total.

Can I work remotely?

17% of these roles are remote.

Do I need to be lead?

Most roles are lead (35% of those that state a level), and 31% are junior or intern.

Are new roles coming in?

6 were posted this week.

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