AI Consulting Domain Expert

$100–200/hrrate as listed

micro1 is contracting former and current strategy consultants to evaluate AI-generated business deliverables — market analyses, business cases, executive memos — against professional standards. Work is remote, part-time, and paid hourly in an observed $100–200/hr range depending on background and project.

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'll spend most sessions reading AI-generated consulting artifacts and deciding whether they would survive a partner review. That means judging whether a market sizing holds up, whether a recommendation memo actually follows from its evidence, whether an executive summary buries the decision, and whether the structure reflects real problem-solving or just the surface shape of a consulting deck. Tasks alternate between scored rubric assessments, side-by-side comparisons of two model outputs, written critiques explaining why one is stronger, and authoring reference deliverables the model can learn from. Some work is prompt construction — building realistic client scenarios with enough specificity to stress-test a model's reasoning.

The distinguishing skill is not writing well; it's articulating why something is wrong in terms an annotator or a model can act on. "Weak analysis" is not useful feedback. "The revenue build assumes flat churn across three segments with materially different contract lengths, and never states the assumption" is.

What the platform screens for

micro1 runs an AI-conducted interview before human review. Expect it to probe your actual delivery history — engagement types, your specific role, what you personally produced — and to follow up when answers stay abstract. Named methodologies, real client contexts (sanitized), and concrete artifacts you owned carry more weight than firm names. The screen also tests calibration: given a flawed output, can you separate a genuine analytical error from a stylistic preference, and can you hold a consistent standard across examples? Writing samples or a short live evaluation exercise are common.

Logistics

Fully remote, contractor engagement, part-time
Asynchronous — work is pulled from a queue, no fixed shifts
Typical commitments run 10–20 hours per week, though project volume fluctuates and can pause between phases
Pay observed in the $100–200/hr band; rates are set per project and per expert, and are not guaranteed
No prior AI or ML experience expected; domain judgment is the hire criterion

What they look for

critical thinking
analytical reasoning
attention to detail
quality assurance
written communication
technica documentation
prompt authoring & refinement
AI Output Evaluation
Professional Writing
Report Writing
Business Communication
Problem Solving
Content Review
Data Interpretation
Logical Resoning
Professional Editing
Independent Research
Data Annotation
Rubric-Based Evaluation
Content Evaluation
AI Model Evaluation
Fact Checking
RLHF
Technical Editing
Prompt Engineering

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.

Do you have at least 3 years of professional experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations in an analytically rigorous setting?
Consulting or analytical delivery experience · required
Do you hold a Bachelor's degree or have equivalent professional experience in lieu of a degree?
Bachelor's degree or equivalent · required
Are you able to work remotely and have reliable internet access?
Remote work capability · required
Are you available to work part-time, contractor-based hours on a flexible schedule?
Part-time availability · preferred

0 of 4 answered

Included with this listing

Interview prep — 11 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 can distill ambiguity and competing priorities into crisp prose that moves decision-makers — the core skill this role requires when refining AI outputs for clients.
A strong answer: Describe a real project with named context (client type, decision at stake), explain the analytical method you used to cut through noise, and show how your final output changed thinking or action. The narrative should reflect structured reasoning, not just clear writing.
Where people lose it: Discussing writing quality in isolation without anchoring to analytical rigor: 'I wrote clearly' means nothing if you cannot show how your analysis earned that clarity. Or naming a project but then describing only the process, not what your work actually proved or how it landed with leadership.