AI for Education

AI Education Jobs: Live Listings and Hiring Trends

AI-skilled education roles are growing faster than the broader market. Here's what's hiring right now, who's hiring most, and what they're paying.

AI education jobs hiring right now

AI Pulse tracks 10,872 job postings across all functions. Of those, 8% of education postings mention AI as a required or preferred skill. We refresh the dataset weekly.

The listings below are live and AI-skilled. Click through for the full description, salary band, and apply link.

Who's hiring AI-skilled education pros

The companies hiring most aggressively for AI-skilled education roles fall into four buckets:

  1. AI labs and foundation model companies. Anthropic, OpenAI, Google DeepMind, Meta AI, and adjacent companies are building out their education functions to support enterprise rollouts. They pay top of market and expect candidates to already use AI fluently.
  2. AI-native scale-ups. Companies built around AI from day one (Glean, Hex, Writer, Cursor, Perplexity, Cresta, Harvey, Decagon) are scaling their education teams. They're often the best comp-to-equity tradeoff for ambitious candidates.
  3. Big tech AI orgs. Google Cloud AI, AWS Bedrock, Microsoft AI, Apple AIML are hiring education pros to support their AI products. These roles offer stability plus AI exposure inside an established company.
  4. Public companies retooling. Stripe, Salesforce, ServiceNow, and others are rebuilding their education functions around AI. The roles often pay less than scale-ups but offer scope and platform.

Common requirements in AI education job descriptions

The most-cited requirements in AI-skilled education postings, in order of frequency:

What's notably absent from most education postings: ML PhD, Python expertise, deep math. AI roles outside engineering rarely require those.

What AI education jobs are paying

Based on AI Pulse's salary data, AI-skilled education roles pay 37% more than non-AI education roles. Median total compensation:

For the full salary breakdown including geo cuts and top-paying companies, see the salary page.

What gets you to the interview round

For AI-skilled education roles, three things move you up the stack:

  1. A specific AI workflow you've shipped. One example with metrics beats five vague ones. Lead with this in your application materials.
  2. Tool-specific fluency. Name the AI tools you use, what you use them for, and what you'd do differently if you started over.
  3. An eval or quality story. Almost no one mentions how they evaluate AI output quality. Bringing it up signals seniority.

For the full transition path including comp at each level, see the career path page.

FAQ

How many AI education jobs are open right now? +

AI Pulse tracks roughly 869 live AI-skilled education postings at any given time, drawn from a 10,872-job dataset that refreshes weekly. The trendline is up across every quarter we've measured.

Where do I apply to AI education jobs? +

Browse the AI Pulse job board for live AI-skilled education postings. AI labs, AI-native scale-ups, big tech AI orgs, and public companies retooling around AI are the four buckets hiring most actively.

Do AI education jobs require an ML background? +

Usually no. Outside of AI engineering specifically, most AI roles want working fluency with AI tools, not ML credentials. Domain expertise plus AI literacy is the winning combination.

Are AI roles mostly remote? +

It depends on the company type. AI labs lean hybrid in SF, NYC, or London. AI-native scale-ups lean remote. Public companies vary. Remote AI-native is often the best pay-per-hour option.

What if I'm a strong education pro without AI experience? +

Pick one AI tool from the tools page, build a workflow that maps to your existing job, document the result, and add it to your resume. Most candidates skip this step. The few who don't move ahead fast.

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