Remote contract work for finance professionals.
Helping train the next generation of AI.
Investment bankers, financial modellers, and capital markets professionals are in demand to help AI labs build and evaluate finance-domain AI systems. This is what that work involves, and how to access it.
Role specifications
What each role involves
Expand any role for the full job description, required skills, and application link. All roles are part-time and remote.
Required skills
About the role
This role is focused on complex fundraising and capital allocation strategy. The client is described as one of the world’s largest companies. You will bring expertise in capital markets transactions and sponsor economics to help shape how AI systems handle this domain.
Key responsibilities
- Lead analysis of advanced capital markets transactions, including IPO models and SPAC math
- Advise on sponsor economics: carried interest waterfall structures, co-investment models, and management incentive plans
- Support bespoke transactional structuring — Reverse Morris Trusts and tailored deal strategies
- Construct and refine deal models including sensitivity analyses and leverage optimisation
- Provide actionable insights on market access and fundraising approaches
- Collaborate across teams on capital allocation decisions and sponsor-level economics
Required skills
About the role
This role centres on financial modelling and valuation expertise supporting major investment decisions across diverse sectors. You will work remotely with an investment team where precision and rigour are the primary requirements.
Key responsibilities
- Build, operate, and enhance integrated 3-statement financial models, operating models, and 13-week cash flow projections
- Lead comprehensive valuation analyses including DCF with WACC build-out, trading comps, and precedent transactions
- Develop and refine deal models: base LBOs, merger models, and accretion/dilution analyses
- Design industry-specific models including sale leaseback, REIT conversion, and NAV frameworks
- Support complex transactions including RMTs, spin/carve-outs, and IP licensing structures
- Conduct specialised due diligence: unit economics, cohort trends, and advanced vertical analyses
Required skills
About the role
This role is positioned within the core investment engine of a large organisation. It is targeted at experienced bankers with deep financial modelling and valuation expertise who want to apply those skills in a flexible remote context.
Key responsibilities
- Execute advanced valuation analyses: DCF with WACC, Trading Comps, and Precedent Transactions
- Develop and maintain sophisticated financial models: integrated 3-statement, operating models, and 13-week cash flows
- Construct and refine deal models — base LBO and merger models with accretion/dilution focus
- Build and analyse industry-specific models: sale leasebacks, REIT conversions, and NAV models
- Provide expertise in bespoke transactions including spin/carve-outs, IP licensing, and RMT structures
- Lead advanced, vertical-specific due diligence covering unit economics and cohort trends
Required skills
About the role
This role is focused on bespoke and industry-specific financial modelling for complex transactions. It suits professionals with hands-on experience in specialist deal structures rather than general financial analysis.
Key responsibilities
- Design, build, and refine advanced models for industry-specific transactions: Sale Leasebacks, REIT Conversions, and NAV analyses
- Develop bespoke transaction structures including RMTs, spin/carve-outs, and complex IP licensing deals
- Conduct in-depth due diligence with focus on specialised vertical analysis: unit economics and cohort trend identification
- Collaborate with cross-functional stakeholders to ensure model integrity and transparency
- Communicate complex modelling assumptions and outcomes clearly through written reports and verbal presentations
Required skills
About the role
This role is positioned for professionals with expertise in deal mechanics and transaction execution. The emphasis is on bridging valuation and execution — bringing structured thinking to complex, high-stakes deals.
Key responsibilities
- Build and refine advanced deal models: dividend recapitalisations, pro forma leverage, and earnouts
- Lead rigorous due diligence processes: dataroom analysis, working capital normalisation, and cohort analysis
- Support capital markets activities with debt capacity and leverage modelling
- Advise on and execute bespoke transactions including spin-offs, carve-outs, and IP licensing arrangements
- Collaborate closely with cross-functional deal teams during transaction structuring and execution
Required skills
About the role
This role positions you as a core part of an investment team, applying valuation and modelling expertise to high-stakes decisions. The client is one of the world’s largest companies. The focus is rigour, precision, and clear communication of complex outputs.
Key responsibilities
- Develop and refine advanced valuation models: DCF with WACC, trading comparables, and precedent transaction analyses
- Construct and maintain integrated 3-statement financial models and 13-week cash flow forecasts
- Design deal models: LBO, merger (base version), and accretion/dilution to evaluate transaction impact
- Build and customise industry-specific models: sale-leaseback, REIT conversion, and NAV models
- Lead bespoke transaction modelling for complex scenarios: RMT, spin/carve-outs, IP licensing
- Perform advanced due diligence with deep dives into specialised verticals and unit economics
About this listing
This is not a specific project posting. By applying, you join Mercor’s Financial Analyst talent network and become eligible for projects as they become available. Projects are matched on a rolling basis to your background and availability.
What Mercor is looking for
How it works
- Upload your resume and confirm work location — this creates your profile
- Mercor reviews your credentials and approves qualified candidates
- When a project matches your profile, you are invited to interview for it
- You work remotely on your own schedule at competitive hourly rates
- Payments are weekly via Stripe or Wise
⚠ Note: Mercor cannot currently support H1-B or STEM OPT visa holders.
Am I suitable?
Is this work right for you?
These roles are not for everyone, and it is worth being clear about that upfront. The platforms are selective — they need people whose financial expertise is genuine and verifiable, not a general interest in finance.
You are likely well suited if…
- You have worked in investment banking, M&A, or corporate finance at analyst level or above
- You can build or critically evaluate an LBO, DCF, or merger model without reference material
- You have hands-on experience with capital markets transactions, deal structuring, or due diligence
- You are precise and rigorous by habit — you notice when an assumption is unstated or a methodology is wrong
- You can explain your reasoning clearly in writing, not just reach the right answer
- You are based in the USA, Canada, UK, or European Union
- You are looking for flexible remote income to complement your main role or fill gaps between positions
You are probably not suited if…
- Your finance background is primarily in retail banking, bookkeeping, or accounting without deal exposure
- You have not worked with financial models hands-on — reading about them is not the same as building them
- You are looking for employment, a permanent role, or guaranteed income — this is freelance, task-based work
- You are on an H1-B or STEM OPT visa (Mercor cannot support these)
- You need high certainty of hours and income — project availability varies and is not guaranteed
- Your employer prohibits outside work or has strict conflict of interest policies you have not checked
What the work actually is
What does training an AI system involve?
AI systems learn from examples of expert-level reasoning. For finance AI, those examples need to come from people who actually know what good financial analysis looks like — which is why these platforms pay professional rates for this work.
Evaluating AI outputs
You are given a financial question or scenario and shown how an AI system has responded. You assess the response for accuracy, rigour, and appropriateness — noting where the model has made errors, oversimplified, or reached conclusions a competent analyst would not.
Writing reference answers
You write high-quality example answers to financial questions — building the dataset that the AI learns from. These answers need to demonstrate the kind of structured, precise thinking a senior professional would bring: assumptions stated, methodology explained, caveats included.
Red-teaming and stress testing
You probe the AI by asking it questions designed to expose weaknesses — pushing it towards scenarios where it might give confidently wrong answers, miss risk factors, or apply the wrong methodology. Your job is to find those failure modes before they reach real users.
Ranking and preference rating
You are shown two or more AI responses to the same prompt and asked to rank them in order of quality. This type of task — called RLHF (reinforcement learning from human feedback) — is one of the most common formats in AI training work and requires no technical knowledge to complete.
Building rubrics and evaluation frameworks
More senior work involves defining the criteria by which financial AI responses should be judged — essentially writing the marking scheme. This draws directly on your professional knowledge of what distinguishes a good financial model or analysis from a poor one.
How it works in practice
All tasks are completed online through the platform’s interface — no software to install, no meetings to attend. You work at your own pace within whatever time commitment you agree with the platform. Tasks are self-contained and typically take between 15 minutes and a few hours each.
The platforms
Who are Micro1 and Mercor?
Both platforms sit at the intersection of AI development and expert human labour. Understanding who they are and where they came from helps you assess whether they are worth your time.
Who this suits
These roles are for working finance professionals
The platforms running these projects — Micro1 and Mercor — need people who can apply genuine financial expertise to evaluate AI-generated analysis. This is not general data work or content writing.
✓ Well suited to this work
- Investment banking analysts and associates
- Financial modelling specialists
- Capital markets professionals
- M&A / deal structuring experience
- Private equity or credit professionals
- Corporate finance with DCF/LBO background
✗ Less likely to qualify
- Retail banking or branch roles
- Accounting without finance modelling
- Finance with no deal or valuation exposure
- H1-B or STEM OPT visa holders (Mercor)
- Students without professional experience
✗ Not required
- AI or machine learning background
- Coding or software development
- Full-time availability
- CFA or specific qualifications
- Experience in all role areas
Frequently asked questions
What finance professionals ask before applying
No. These roles require deep financial expertise — investment banking, financial modelling, capital markets, or deal structuring — not AI or technology skills. The platforms are looking for professionals who can apply rigorous financial judgement to evaluate and improve AI-generated analysis. Your finance credentials are the qualification.
The Micro1 specialist finance roles pay $140–$240 per hour, based on seniority and experience. The Mercor Financial Analyst Talent Network pays $60–$180 per hour. Rates are in USD and paid weekly via Stripe or Wise.
These roles are open to candidates based in the USA, Canada, UK, and European Union. Mercor cannot support H1-B or STEM OPT visa holders.
Eligibility varies by individual role — the Micro1 listings specify their own geography and a small number are US-only. Check each listing before applying.
The Micro1 specialist roles are targeted at senior finance professionals — typically those with investment banking analyst, associate, or equivalent experience — who have hands-on expertise in areas like LBO modelling, DCF analysis, deal structuring, or capital markets transactions.
The Mercor Financial Analyst Talent Network is broader and considers professionals with experience in financial modelling, forecasting, or financial statement analysis at various levels.
This is freelance contract work. You work as an independent contractor, set your own hours within project requirements, and are paid based on hours worked. There is no employment relationship, no benefits, and no guaranteed minimum hours. Projects can be extended, shortened, or concluded depending on platform needs.
In most cases yes, subject to your current employer’s outside employment or conflict of interest policies. The work is fully remote and self-scheduled. Mercor specifies that the work does not involve access to confidential or proprietary information from any employer. Check your employment contract before applying — particularly if you work at an investment bank or asset manager with strict outside work policies.
For Micro1, you apply directly to individual roles via the job listings on this page. For Mercor, you join the Financial Analyst Talent Network by uploading your resume and confirming work authorisation — you are then matched to projects as they become available. Mercor uses an AI interview as part of its vetting process.
Once accepted on either platform, you are eligible for projects on a rolling basis.
About Applied Clinical Judgement
Applied Clinical Judgement is an independent resource that connects professionals with AI training and annotation work on platforms like Mercor and Micro1. The site was built by Sean Key, a Digital Health Senior Programme Manager with 29 years of experience across NHS and private healthcare sectors.
Although ACJ began with a focus on clinical professionals, the same platforms that source healthcare expertise are now sourcing finance and investment banking expertise for parallel AI training programmes. This page exists to help finance professionals find those opportunities.
Referral disclosure: ACJ earns a referral fee when someone registers on Mercor or Micro1 through a link on this site. This does not affect what you are paid or your relationship with the platform. We are not employers, agents, or representatives of either Mercor or Micro1.
Ready to apply?
The roles above link directly to the platform listings. Apply through the individual role specs, or join the Mercor talent network to be matched as projects become available.
Written by
Sean Key
Digital Health Senior Programme Manager · 29 years’ NHS & private sector experience
Sean has spent nearly three decades delivering complex digital programmes across the NHS and private healthcare — from LIMS and PACS deployments to primary care, urgent care, mental health, and national interoperability work. Not a clinician. His perspective is that of a practitioner who understands how digital health really gets built, procured, and adopted in the real world.
Due for review at 8:54am on Thursday March 4th, 2027