Freelance Fixed Income Expert AI Evaluator

Uber AI Solutions is Uber's marketplace connecting skilled freelancers with Generative AI researchers and product teams working on cutting-edge AI systems. We partner with independent contractors to support large-scale model evaluation, alignment, and quality initiatives.

As a Freelance Fixed Income Expert, you will pair genuine structured credit knowledge with hands-on GenAI-evaluation experience to design challenging, realistic prompts backed by public-source documents such as loan-level collateral tapes, offering circulars, servicer reports, and rating agency criteria documents. You will then probe where the model breaks, and encode expert judgment into precise, gradable rubrics and a canonical 'golden' answer. You own an end-to-end evaluation task from prompt design through reviewer sign-off.
 

This is hands-on modeling and analytical work — building and deriving numbers, not describing them. It is not an accounting, audit, compliance, or reporting role.

What you'll work on

• Apply your fixed income expertise to help create and evaluate complex AI prompts and responses.
• Conceptualize and draft realistic, multi-step prompts that mirror real portfolio assignments and require derivation and reconciliation.
• Identify and document genuine model failures by writing specific, objective, and actionable explanations.
• Build comprehensive evaluation rubrics that trace formula inputs and carefully separate extraction from calculation.
• Produce fully correct, deliverable-quality golden responses that satisfy all criteria using industry-standard formatting.
• Complete our onboarding process and strictly follow the disciplined authoring and review workflow for each task.
• Closely follow guidelines, run AI quality checks on your own work, and resolve any issues in the feedback loop before final submission.

Engagement details

• Location: Remote (United States)
• Engagement Type: 1099 Freelance / Independent Contractor, through the Uber AI Solutions platform
• Engagement Duration: 40 hours over 1-2 weeks

Who we're looking for

• 5+ years of experience in fixed income, structured credit, or mortgage portfolio analytics.
• FRM strongly preferred; CFA charterholder Level II or III, CPA, CA, or MBA-Finance also valued.
• Deep understanding of balance-weighted portfolio metrics — computing WAC, LTV, and DSCR weighted by unpaid principal balance rather than loan count.
• Demonstrated ability to analyze loan-level tapes in CSV, apply stratification cutoffs and subset filters, convert between CPR and SMM prepayment measures, and calculate expected loss as PD x LGD x EAD.
• Demonstrated ability to read primary source documents (offering circulars and prospectuses, servicer reports, credit agreements, rating agency criteria documents) and perform multi-step calculations from them.
• Comfortable working independently on detail-oriented tasks.
• Strong analytical and written communication skills.
• Prior hands-on experience with GenAI / LLM evaluation and prompt engineering, rubric or golden-answer authoring, data annotation, RLHF, red-teaming, or model quality assessment.

Preferred qualifications

Experience with RMBS, CMBS, or ABS collateral analysis, stratification reporting, DSCR stress testing, or prepayment modeling.

Why this matters

Your expertise will help improve how AI systems handle complex fixed income topics, making outputs more accurate, reliable, and better aligned with real-world structured credit reasoning.