Commercial Real Estate Manager

$40–65/hrrate as listed

micro1 recruits commercial real estate professionals to review and grade AI-generated work on leasing, valuation, underwriting, and asset management tasks. Observed pay for this role runs $40–65/hr, set by the platform after a screening interview and calibration exercise.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

What the work involves

You are handed model outputs that look like CRE work product and asked whether a practitioner would accept them. That might mean checking a pro forma where the AI computed NOI, debt service coverage, and an exit cap; reading a lease abstract to see whether the CAM reconciliation clause, escalation schedule, and renewal option were captured correctly; or comparing two draft market summaries and judging which one actually reflects how submarket absorption and TI allowances behave. Some tasks ask you to write the reference answer yourself — a clean argus-style rent roll interpretation, a defensible comp adjustment, a memo to an investment committee — so the model has something credible to be measured against.

The hard part is rarely arithmetic. It is catching outputs that are internally consistent but wrong in practice: a cap rate applied to the wrong income line, a triple-net assumption smuggled into a full-service gross deal, a stabilized occupancy figure that no lender would underwrite. Reviewers are expected to leave a short written rationale on every judgment, because the rationale is the training signal.

What micro1 screens for

Real transaction or asset-management history, not coursework. Expect questions about specific deals, property types, and markets you have worked in.
Depth under follow-up — the AI interviewer will push on why a number is wrong, not just whether it is.
Clear written reasoning. Terse, specific, and free of hedging.
Consistency across a calibration set; erratic grading ends engagements faster than strictness does.

Backgrounds that land well: brokerage (investment sales or leasing), asset or portfolio management, debt origination, appraisal (MAI is a plus), REIT or fund acquisitions, and property management with financial responsibility.

Logistics

Fully remote and asynchronous. Work arrives in batches, so volume is uneven — some weeks offer 5–10 hours, others 20+. There is no minimum commitment, but reviewers who keep a steady 10+ hours per week tend to stay in rotation and get first look at higher-rate specialized batches. Hourly rate is set at onboarding within the observed band and reflects credentials and calibration performance; it is not guaranteed.

What they look for

commercial real estate expertise
property valuation
feasibility studies
lease agreement analysis
market analysis
property management
written communication
verbal communication
attention to detail
regulatory compliance (us, canada, uk, europe)
team collaboration
remote work adaptability
ai data training (preferred)
technology-driven project experience
professionalism

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Have you personally worked on at least three real estate transactions or managed a real estate portfolio (including brokerage, acquisitions, asset management, property management, or appraisal)?
Real estate transaction or asset management experience · required
Have you built, reviewed, or amended a pro forma or underwriting model for a real estate deal or portfolio?
Pro forma or underwriting exposure · required
Have you reviewed, negotiated, or abstracted commercial real estate leases, or managed CAM reconciliations or expense stops?
Lease or CAM knowledge · preferred
Have you prepared written financial analysis, valuation, or investment recommendations for real estate assets or portfolios?
Financial reporting or modeling experience · preferred
Do you have regular or recent access to CoStar, CBRE, Argus, or similar commercial real estate market data or transaction platforms?
Submarket or deal-level data access · preferred

0 of 5 answered

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: Whether you have hands-on transaction experience and can identify the gap between mathematically correct inputs and economically realistic outputs that lenders or investors would accept.
A strong answer: Name a real deal, identify a specific line-item or assumption error (e.g., income attributed to wrong lease term, expense category, or amortization schedule), and explain the practical consequence—loss of DSCR cushion, inflated exit value, misaligned risk.
Where people lose it: Claiming you 'checked the math' or 'validated formulas' without naming what was actually wrong economically; or describing a mistake so generic (wrong number in a cell) that it could happen in any finance role.