AI Content Specialist
Alignerr
Denver, COFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · MBA / PGDM
- Must know
- OperationsFinancial analysisMarketingBudgetingAuditing
- Nice to have
- SQLExcelTableauFinancial modeling
- Work
- On-site in Denver
- Pay
- Not stated by the employer.
- Listed
- Nov 4, 2026 · still open
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About the Role
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Business Challenges — Author advanced case studies, quantitative problems, and strategic scenarios across domains like corporate finance, market entry, operations management, and cap table modeling
- Author Ground-Truth Solutions — Build rigorous, step-by-step model answers that include financial statements, marketing frameworks (4Ps, 5Cs, Porter's Five Forces), and executive-level strategic rationales — the gold standard responses AI learns from
- Audit AI Outputs — Evaluate AI-generated business plans, financial forecasts, and case study analyses for logical consistency, mathematical accuracy, and adherence to professional business standards
- Sharpen AI Reasoning — Identify and document logical failures in AI responses — from sunk cost errors and miscalculated WACC to flawed macroeconomic assumptions — and provide structured, expert feedback that makes the model smarter
Requirements & Tech Stack
- Holds a Master of Business Administration (MBA) from an accredited institution
- Strong working knowledge in at least two core business domains: Finance, Marketing, Operations, or Strategic Management
- Able to synthesize complex data into clear, executive-style analysis and recommendations
- Naturally detail-oriented — you catch formula errors, logical gaps, and faulty assumptions others miss
- Comfortable working independently and asynchronously on your own schedule
- No prior AI or data annotation experience required
Nice to Have
- Background in management consulting, investment banking, private equity, or corporate strategy
- Experience with data annotation, content evaluation, or quality assurance workflows
- Proficiency in quantitative tools such as Excel financial modeling, Tableau, or SQL
- Familiarity with AI tools or large language models as a professional or end user