About The Role

What if your MBA — your hard-won expertise in corporate finance, market strategy, and business operations — could directly shape how AI advises executives and drives decisions for millions of businesses around the world?

We're looking for MBA-qualified professionals to work with Alignerr, partnering with the world's leading AI research labs to train and evaluate cutting-edge AI models. You'll stress-test AI reasoning on the toughest business problems, author gold-standard solutions, and ensure these models are truly ready to function as sophisticated partners for executive decision-making.

This is a fully remote, flexible contract role. No prior AI experience needed — just deep business expertise and a sharp analytical mind.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Design Complex Business Challenges — Craft advanced business cases and quantitative problems spanning DCF valuation, market entry strategy, operations bottlenecks, cap table modeling, and more




Author Ground-Truth Solutions — Produce rigorous, step-by-step responses complete with financial statements, strategic frameworks (4Ps, 5Cs, Porter's Five Forces), and executive-level rationales that serve as the "golden standard" for AI training
Audit AI Outputs — Evaluate AI-generated business plans, financial forecasts, and case study analyses for logical consistency, mathematical accuracy, and skilled-grade quality
Sharpen AI Reasoning — Identify and document logical flaws in AI reasoning — such as ignoring sunk costs, miscalculating WACC, or failing to account for macroeconomic variables — and provide structured, actionable feedback

Who You Are

Holder of a Master of Business Administration (MBA) from an accredited institution
Strong foundational knowledge across at least two core business disciplines: Finance, Marketing, Operations, or Strategic Management
Skilled at synthesizing complex data into clear, executive-style

📌 Business Administration (India)
🏢 Alignerr
📍 India