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AI Systems Specialist

Hiring evidence involving n8n. First observed 26 Sept 2026; the response opens on upwork.com.

Technology
n8n
Budget
Not provided by source
Work format
Hiring
Role family
AI / ML engineer
Seniority
Level not stated
Observed
26 Sept 20265 days old
Deadline status
Deadline not provided — verify source
Response destination
upwork.com
View on Upwork public listing →The same opportunities, one day earlier.

Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
American Dream Home Remodeling
Source reference
OPP-20260926-1420
Location evidence
United States / remote worldwide
Employment type
contractor
Required skills
ChatGPT, Claude, Gemini, Zapier, Make, n8n, CRM, APIs
Expected duration
6+ months; more than 30 hours/week; contract-to-hire

Opportunity summary

AI Systems Specialist. The source classifies this as hiring work involving n8n. Location or remote eligibility: Worldwide remote; agency route not stated, so use a named hands-on candidate.

Technology and scope

The reported stack is ChatGPT, Claude, Gemini, Zapier, Make, n8n, CRM, APIs. Check the source for required versions, deliverables and which technologies are mandatory.

Engagement details

Hiring: an employment-oriented search for an individual contributor or team member. Source timing: 6+ months; more than 30 hours/week; contract-to-hire

Budget

Budget not provided by source. Confirm the rate or project value before preparing a proposal; no estimate has been substituted.

Dates and availability

First observed by Leadiy on 26 Sept 2026, 20:34 UTC. Public since 2 Oct 2026, 00:00 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.

Related market context

In the current 30-day Hiring Pulse, n8n appears in 176 of 1186 observed opportunities (14.8%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.

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