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PointClickCare & MatrixCare Integrations: Paid Engineer Interview Expert

Ethos Ethos ContractRemote $100/hr
Posted Nov 8, 2026 · ✓ Still open — checked 7 hours ago

Quick facts

Pay
$100 / hour
Type
Contract
Location
Remote
Background
Bachelor's degree
Platform
Ethos — 527 open jobs
Typical pay at Ethos
$70–100/hour · median $80 (526 jobs on our site)
Payout
Wise
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Pay

$100/hr
est.
Ethos does not post a rate for this role. This is our estimate for similar roles.
How we estimate
Listed
Today
Checked
Nov 8
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About this role
From the Ethos listing
We’d like to speak with engineers and technical staff who have worked on connecting third-party software to long-term care EHRs, mainly PointClickCare and MatrixCare, to learn how these integrations work in practice.
What we’d like to understand:
How third-party tools, such as AI documentation or scribe products, connect to the EHR, including routes outside the EHR’s official partner marketplace (for example facility-sponsored API access, HL7/FHIR or document import, or client-side connectors)
Whether the integration only reads data or also writes back, and where written data ends up in the EHR
What happens automatically and what still needs a manual step from facility staff
What a facility typically needs to request, approve or sign to enable the connection
Ideal: current or former engineers, integration or solutions engineers, or technical product managers at US vendors who built or maintained an integration with PointClickCare or MatrixCare. Junior and mid-level engineers are very welcome.
We’re only interested in how these integrations work and what is offered in general terms, not anything confidential to your current or former employer.
Format: 30 to 45 minute video interview, $200 per interview.

Requirements

Fluent proficiency in English (Written & Verbal)
Reliable high-speed internet connection
Bachelor's degree or equivalent professional experience
Demonstrated expertise in STEM
Skills and categories
More jobs in these fields:
STEM
High-Pay ($100+/hr)
No Degree Required
Engineering & Robotics
Coding
Expert
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Common questions
How and when does Ethos pay experts?
Within 30 days of your invoice, after a project closes. Some AI training platforms pay weekly, so plan for the longer wait.
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network. AI labs, investment funds and large companies pay for your domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) in three formats: multi-week consulting engagements, 30 to 60 minute advisory calls, and research surveys. Listings like this one are the AI-lab engagements, where you write or review expert material for a model.
What specific skills does this listing call for?
Coding is named directly in the listing. If you don't have hands-on experience with this, expect the screening to test for it.
How much does this specific role pay?
The listing doesn't state a rate. The $100/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform before committing time.
What happens when I click Apply on this listing?
The link opens Ethos's sign-up. There is no form for this listing: Ethos's AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. Keep your CV open and cover the experience the Qualifications above ask for.
Who built Ethos and is it legitimate?
Yes. Ethos was founded in London in 2024 by James Lo (McKinsey, SoftBank Vision Fund) and Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev). It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. The link on this page is an affiliate link; it doesn't affect your pay or the projects you're offered.

Ethos is an expert network backed by Andreessen Horowitz that uses an AI voice interview to learn about your experience and then matches you with paid opportunities, including AI training and evaluation projects.