We are sharing a specialised part-time consulting opportunity for finance professionals with strong experience in direct lending, private credit, leveraged finance, and alternative asset management.
This role supports an exciting collaboration with a leading AI research laboratory focused on developing advanced AI systems that can replicate real-world private credit, direct lending, and alternative investment workflows.
Selected professionals will work closely with AI researchers to help train, test, and refine AI agents across tasks such as deal underwriting, credit analysis, portfolio monitoring, investor reporting, and broader lending and private credit workflows.
Key Responsibilities
Professionals in this role may contribute to:
Credit Workflow & Process Mapping
Detail the day-to-day workflows of professionals in direct lending, private credit, and alternative asset management
Provide insight into deal sourcing, execution, and portfolio monitoring workflows
Help translate real-world lending and investment processes into structured AI training inputs
Underwriting, Analysis & Documentation
Analyze and explain credit underwriting processes, including due diligence, risk assessment, and structuring
Identify and categorize key documents used across private credit transactions, including credit memos, investment committee materials, term sheets, covenants, and lender presentations
Distinguish between public versus private information in credit markets and lending processes
AI Collaboration & Domain Expertise
Collaborate with AI researchers to convert domain expertise into structured training data
Support the refinement of AI systems designed to replicate private credit and alternative lending workflows
Apply practical experience from direct lending and credit investing environments to improve model quality and relevance
Ideal Profile
Strong candidates may have:
3+ years of experience in Direct Lending, Private Credit, Leveraged Finance, or Alternative Asset Management
Experience at top-tier firms such as Ares, Apollo, Blackstone Credit, KKR Credit, Golub Capital, Oaktree, or similar organizations
A Bachelor's degree in Finance, Economics, Accounting, Business Administration, or a related field
Strong familiarity with credit agreements, financial covenants, underwriting models, and deal documentation
Experience across middle-market lending, sponsor-backed transactions, or structured credit
Excellent analytical, writing, and communication skills
Preferred Qualifications
Experience within sponsor-backed lending environments
Exposure to structured credit workflows and documentation
Strong hands-on background in credit underwriting, investment committee materials, and portfolio monitoring processes
Why This Opportunity
Contribute specialised finance expertise to a cutting-edge AI collaboration
Help shape how advanced AI systems perform across private credit and lending workflows
Work on high-impact model training and evaluation tasks with leading AI researchers
Flexible remote work with strong hourly compensation
Contract Details
Independent contractor role
Fully remote with flexible scheduling
Hourly compensation of $110–$150 per hour
Part-time commitment with a minimum of 10 hours per week
Start date expected within 1–2 weeks
Projects may be extended, shortened, or concluded early depending on project needs and performance
Weekly payments via Stripe or Wise
Work will not involve access to confidential or proprietary information from any employer, client, or institution
Please note: We are unable to support H1-B or STEM OPT candidates at this time
Start date: Immediate
About The Platform
This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.
Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific decision-making processes.
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