Project Manager Expert
Ethos • Remote
Education
Not stated
Type
Hourly
Pay Rate
$70/hr
Listed
33d ago
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From the Ethos listing
About This Opportunity
We're working with a leading foundational AI lab to find experienced project managers who can help train their latest language model on professional presentation and slide deck tasks.
We're looking for project managers with 5+ years running cross-functional programs and their reporting cadence to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: steering committee decks, program status reports, risk and dependency exhibits, milestone review presentations, executive escalation one-pagers, and portfolio review materials.
Compensation: $70/hour
Commitment: Flexible, 5-20 hours per week (or more if desired)
Location: Fully remote, work on your own schedule
Start date: ASAP
Qualifications
- 5+ years in program management or PMO leadership at a significant company
- Ownership of a steering committee or executive reporting cadence
- Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
About Ethos
Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Interview Prep
Sample questions for a Project Manager role, written in-house to help you prepare.
How do you build a risk register for a new project, and how do you decide which risks are worth actively managing versus just monitoring?
I score each identified risk on likelihood and impact, and I focus active mitigation effort on the ones that score high on both, since spreading equal attention across every possible risk dilutes focus from the ones that actually threaten the project. Lower-scoring risks stay on the register and get monitored, but they don't consume active planning time unless their likelihood or impact changes.
How do you allocate limited resources across competing project priorities when you can't fully staff everything at once?
I prioritize based on which work is on the critical path versus which has schedule slack, since delaying critical path work delays the whole project while slack work has more flexibility. I also make the tradeoff visible to stakeholders rather than making the call silently, since resource allocation decisions often have implications beyond what I alone can see.
What's your approach to identifying dependencies between workstreams early enough to avoid them becoming a bottleneck later?
I map dependencies explicitly during planning, not just track tasks in isolation, and I flag any dependency where the downstream team's start date is close to the upstream team's committed finish date, since that's where a small delay upstream cascades into a schedule risk downstream. Building in buffer specifically around tight dependencies, rather than uniformly across the whole schedule, protects the areas actually at risk.
How do you decide when a project's scope needs to change versus when the original plan just needs better execution?
I look at whether the gap between plan and reality traces back to a flawed original assumption, which suggests scope needs revisiting, or to execution issues like unclear ownership or slow decision-making, which suggests the plan itself is still sound. Changing scope to compensate for an execution problem usually just creates a new set of issues rather than fixing the real one.
Why this role
AI labs pay $70/hr for a Project Manager Expert because getting Business nuance wrong in a training set is expensive to fix later. That's what this rate is pricing in.
Talent pool
We're light on Business candidates
We've matched 55 people with a Business background against 1011 Business listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
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Common questions
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network, not a task queue. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) through three formats: multi-week consulting engagements, 30-60 minute advisory calls, and targeted research surveys.
Do I need to keep applying for projects on Ethos?
No. Once your profile is live, Ethos's algorithm matches you to inbound opportunities based on your career history, so companies find you instead of you hunting for listings. Your Expert Score rises with each completed engagement and unlocks higher-value work over time. Ethos already works with 25+ private equity firms, hedge funds, and consultancies, so the deal flow behind this is real.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
Do task-based AI training roles require an interview?
Most skip a live interview entirely and gate access through an automated assessment or qualification task instead. Where we've confirmed the specific requirement for this listing, it's called out above in What We Know About This Role.
What does Business work look like for a Project Manager Expert?
Tasks here are scoped to Business, not generic labeling. As a Project Manager Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Business) rather than following a one-size-fits-all rubric. If you don't have hands-on Business background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $70/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Ethos's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who built Ethos and is it legitimate?
Yes, it's legitimate and well-funded: Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up, and it's actively working with 25+ PE firms, hedge funds, and consultancies. The referral link on this page is an affiliate link; it doesn't affect your pay or opportunities.