MBA Intern - AI Operations, Finance

We're hiring MBA interns for quality assurance and operations for our finance evaluation track. This is a 12-week, full-immersion internship. You'll oversee the work produced by our finance master's evaluators and make sure it meets the quality bar that AI lab clients expect. Around 20% of your time goes toward structured AI training: how large language models work, how RLHF fits into the development pipeline, and what quality standards look like for financial AI evaluation data. No prior AI knowledge is required. You'll learn everything on the job. The other 80% is hands-on QA, operations, and product testing.

KEY RESPONSIBILITIES 1. Quality-checking finance evaluation output. Our finance evaluators (master's students in finance and economics) produce RLHF preference rankings on financial reasoning, ESG/CSRD compliance evaluations, and financial QA datasets. Each evaluation includes a rubric score and a written rationale. Your job is to audit that output. You'll check whether evaluators are scoring corporate valuation prompts correctly, whether their rationales on portfolio theory and financial statement analysis hold up under scrutiny, and whether quality is consistent across the team. When an AI lab client needs financial evaluation data they can trust, you're the person who makes sure it's trustworthy. 2. Calibration across the finance team. If two evaluators score the same AI-generated financial analysis differently, you need to figure out why. Is the rubric ambiguous for that type of financial content? Is one evaluator applying IFRS standards and the other isn't? You'll run inter-annotator agreement checks specific to finance, calibrate new evaluators during onboarding, and make sure everyone is grading to the same standard. 3. Testing Sovrano AI's products and tools. We're building internal tooling and AI-powered products (interview preparation agents, evaluation platforms, workflow automation). You'll test them as a real user would, finding bugs, edge cases, and UX issues, and documenting everything clearly for the product team. 4. Process improvement. With your MBA and 3-5 years of professional experience, you've seen how financial operations and quality processes work in real companies. You'll bring that perspective to how we run our finance evaluation pipeline: onboarding, quality feedback, client deliverables, and reporting. 5. Contributing to industry benchmarks. The evaluation work you do here feeds directly into the benchmarks top-tier AI labs use to assess and publicly report the factual capabilities of their models. When OpenAI, Google DeepMind, or Anthropic measure how well their models reason about finance, datasets built by evaluators like you are part of what they test against. IDEAL QUALIFICATIONS Currently enrolled in an MBA program (or recently completed) 3-5 years of professional experience before your MBA, ideally in finance or a related field Fluent in English plus at least one other European language Comfortable working independently in a fully remote setup Reliable internet connection and a quiet workspace NICE TO HAVE Prior experience in investment banking, asset management, corporate finance, audit, consulting, or financial operations Familiarity with IFRS standards and European financial reporting Experience working across cultures or in international teams Comfort with structured data, spreadsheets, and basic analytics CONTRACT & PAYMENT TERMS

€250 per week