Remote contract work for finance professionals.
Investment bankers, financial modellers, and capital markets professionals are using their domain expertise to evaluate finance AI systems — with flexible remote contract work available now.
Adar Hiremath is the co-founder and CTO of Mercor. This short video walks through the application process, how projects are matched to your expertise, and what the work looks like day to day.
This short video gives you a sense of what working through Mercor actually looks like day-to-day — what the projects involve, how the work fits around existing commitments, and what to expect when you start.
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’ll 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
Your name is recorded with your consent and used to identify your referral to Sean Key.
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
Your name is recorded with your consent and used to identify your referral to Sean Key.
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
Your name is recorded with your consent and used to identify your referral to Sean Key.
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
Your name is recorded with your consent and used to identify your referral to Sean Key.
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
Your name is recorded with your consent and used to identify your referral to Sean Key.
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
Your name is recorded with your consent and used to identify your referral to Sean Key.
About the role
This role focuses on mergers, acquisitions, and strategic transactions. You will bring deep M&A modelling expertise to help AI systems handle deal structuring, valuation, and accretion/dilution analysis. The client is described as one of the world’s largest companies.
Key responsibilities
- Develop and evaluate sophisticated M&A models including merger models and accretion/dilution analyses
- Perform comprehensive valuation analysis using DCF, trading comparables, and precedent transactions
- Analyse strategic transactions such as acquisitions, divestitures, and carve-outs
- Review and challenge key deal assumptions, quantifying synergies, risks, and value drivers
- Build integrated operating models and conduct transaction-related financial analysis
- Lead or support financial due diligence by dissecting business performance and cost structures
Your name is recorded with your consent and used to identify your referral to Sean Key.
About the role
This role is for private equity professionals who can apply LBO modelling, valuation, and investment diligence skills to help AI systems handle the analytical demands of PE deal work. You will bring buy-side rigour to a flexible remote setting.
Key responsibilities
- Develop and enhance LBO models, operating projections, and return analyses across investment opportunities
- Conduct detailed valuation work using DCF, comparable company, and precedent transaction methodologies
- Perform deep-dive financial diligence to analyse business quality and value creation levers
- Stress-test investment assumptions and model multiple outcome scenarios highlighting risks and return drivers
- Evaluate transaction risks, capital structure alternatives, and deal economics
- Craft clear written analyses and present findings and recommendations to stakeholders
Your name is recorded with your consent and used to identify your referral to Sean Key.
Am I suitable?
Is this work right for you?
These roles aren’t for everyone — it’s 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 haven’t worked with financial models hands-on — reading about them isn’t the same as building them
- You are looking for employment, a permanent role, or guaranteed income — this is freelance, task-based work
- You need high certainty of hours and income — project availability varies and isn’t 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 a common format in AI training work and requires no technical knowledge.
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
Micro1 needs 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
- 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.
All roles pay $140–$240 per hour, based on seniority and experience. 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.
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 two newer roles (M&A Financial Strategy Expert and Private Equity Modeling & Diligence Specialist) additionally require strong deal and buy-side experience respectively.
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. Check your employment contract before applying — particularly if you work at an investment bank or asset manager with strict outside work policies.
You apply directly to individual roles via the job listings on this page. Each role links directly to the Micro1 application. Micro1 uses an AI-assisted 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 a referral service that connects professionals with AI training work on platforms including 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 Micro1 through a link on this site. This doesn’t affect what you’re paid or your relationship with Micro1. We’re not employers, agents, or representatives of Micro1.
Ready to apply?
The roles above link directly to the platform listings. Apply through the individual role specs below.
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.