Finance & Accounting AI Training Jobs - Compare Pay

micro1 is engaging Investment Banking Associates to contribute their expertise to a project focused on building high-quality datasets that reflect authentic investment banking workflows. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work 1. Design, author, and refine project tasks that simulate core investment banking activities such as pitch book construction, valuation analysis, market updates, deal comparables, and precedent transaction reviews. 2. Develop and review complex financial models, including DCF, LBO, merger consequences, accretion/dilution, and trading/precedent comparables, ensuring analytical rigor and realism. 3. Deliver written analysis on deal rationale, strategic fit, capital structure, and prevailing market conditions at a standard expected by investment banking decision makers. 4. Evaluate and provide feedback on AI-generated outputs for accuracy, professional formatting, and alignment with authentic IB workflows as seen in analyst or associate deliverables. 5. Collaborate with project leads to calibrate rubrics, quality standards, and address nuanced edge cases in financial reasoning and methodology. 6. Ensure clarity, precision, and professionalism in all documentation and written communication, supporting the project's goal of training advanced language models. Preferred Qualifications 1. 3–6+ years of hands-on experience in investment banking at a bulge-bracket, elite boutique, or leading middle-market platform (M&A, ECM, DCM, LevFin, or industry coverage). 2. Completion of an MBA, Master’s in Finance, or equivalent advanced degree; graduates of top-tier programs (e.g. Wharton, LBS, INSEAD) are especially encouraged. 3. Direct track record building financial models and pitch materials that were reviewed by Managing Directors or presented to clients. 4. Exceptional written and verbal communication skills, with the ability to deliver clear, concise, and client-ready documentation and commentary. 5. Demonstrated mastery in valuation judgement, deal analysis, and financial analysis techniques across a range of transaction types. 6. Strong attention to detail with a commitment to delivering work that meets the highest standards of the investment banking profession.

micro1

Investment & Finance Expert

micro1Finance & Accounting60 days ago

$245-$280/hr

Worldwide

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micro1

Private Equity Associate

micro1Finance & Accounting60 days ago

$45-$100/hr

Worldwide

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About this role

micro1 is engaging Private Equity Associates to contribute expertise to a customer's project focused on enhancing AI-driven private equity workflows. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work 1. Design and author project tasks that authentically represent private equity workflows, including CIM screening, LBO modelling, and portfolio company monitoring. 2. Develop and rigorously stress-test LBO models using realistic capital structures and operating assumptions, with a focus on returns analysis (IRR, MOIC). 3. Craft investment committee memos evaluating hypothetical or real deals, outlining thesis, key risks, value-creation strategies, and exit scenarios. 4. Conduct detailed due diligence assessments, highlighting risk factors and proposing mitigation strategies, mirroring industry best practices. 5. Evaluate AI-generated outputs for financial accuracy, strategic judgement, and alignment with established private equity methodologies. 6. Collaborate with project leads to refine evaluation rubrics, adjust task difficulty, and ensure comprehensive coverage across sectors and deal types. 7. Deliver thorough documentation and feedback, supporting continuous improvement of AI training datasets. Preferred Qualifications 1. 2–6+ years of experience in private equity, investment banking plus private equity, or direct private equity roles at mid-market, growth, or large-cap funds. 2. Advanced degree such as MBA or Master's in Finance; completion of top-tier programs (e.g., Wharton) is especially valued. 3. Demonstrated expertise building LBO models and investment committee memos reviewed by principals or partners. 4. Exceptional written communication, with a track record of producing clear, professional-grade documentation and memos. 5. Strong analytical skills and the ability to exercise sound judgement under ambiguous conditions. 6. Direct participation in due diligence and risk assessments in live private equity transactions. 7. Ability to commit to structured project work, delivering consistent, high-quality contributions within defined parameters.

micro1

Venture Capital Associate

micro1Finance & Accounting60 days ago

$45-$100/hr

Worldwide

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About this role

micro1 is engaging Venture Capital Associates to contribute to a groundbreaking project focused on building datasets that capture the nuanced workflows of modern venture capital. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work 1. Design and author project tasks that reflect authentic VC workflows, including deal screening, market sizing (TAM/SAM/SOM), competitive analysis, founder evaluation, and investment committee (IC) memorandum drafting. 2. Analyze early-stage and growth startups across financials, product-market fit, market opportunities, competitive positioning, and team effectiveness with the rigor and depth expected at partner meetings. 3. Construct and interpret financial projections, cap tables, and scenario analyses for early-stage companies. 4. Assess and provide qualitative feedback on AI-generated content, evaluating pattern-matching, market sizing, and how well outputs mirror real-world VC judgment. 5. Collaborate with project leads to calibrate evaluation rubrics, refine task complexity, and identify content gaps across sectors and company stages. 6. Document methodologies and standardize best practices that reflect modern VC analysis and decision-making processes. Preferred Qualifications 1. 3–6+ years of experience at a venture capital, growth equity firm, or as an operator/founder with significant deal evaluation exposure. 2. MBA, Master’s in Finance, or equivalent advanced degree; graduates of Wharton or other top-tier programs strongly welcomed. 3. Direct experience crafting IC memos and performing diligence on deals reviewed by investment partners. 4. Proven ability to conduct market sizing, founder assessment, and competitive landscape analysis under ambiguity. 5. Exceptional written communication skills, demonstrated by concise, precise, and analytical documentation at a professional or IC-memo standard. 6. Strong analytical reasoning, especially in situations with incomplete or ambiguous data. 7. Experience working across various company stages (pre-seed to growth) and across multiple sectors is a plus.

Mercor

Legacy Codebase Migration Expert

MercorFinance & Accounting / Software & Coding65 days ago

$200/hr

Worldwide

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About this role

Mercor is partnering with a frontier AI research lab to engage experienced software engineers with deep expertise in legacy codebase migration and modernisation. We are looking for engineers who have personally executed complex migrations across large, production-grade systems, particularly in financial services, fintech/payments, insurance, healthcare, telecom, large technology companies, and other mission-critical enterprises. Strong hands-on experience with production migrations is the primary qualification. What You'll Do - Design, implement, review, and evaluate complex codebase migration and modernisation tasks. - Analyse legacy code, dependencies, APIs, databases, build systems, and infrastructure to determine safe migration approaches. - Preserve functionality, backwards compatibility, data integrity, security, and performance during migrations. - Develop tests and validation strategies to identify migration regressions and behavioural differences. - Evaluate AI-generated migration solutions for correctness, completeness, maintainability, and production readiness. Relevant Migration Experience Candidates should have deep expertise in one or more of the following: - Language/version: Java 8 → 17/21, legacy .NET → modern .NET, Python 2 → 3, PHP 7 → 8 - Language rewrites: COBOL → Java/Python, JavaScript → TypeScript - Frameworks: Angular, Rails, Django, Spring/Spring Boot, ASP.NET, Next.js/Astro, and other major framework upgrades/replacements - Databases & ORMs: Oracle/MySQL → PostgreSQL, SQL → NoSQL, Hibernate → jOOQ, Sequelize → Prisma, raw SQL → ORM - Infrastructure: VMs/bare metal → containers, Docker/Kubernetes, cloud-native architectures - CI/CD: Jenkins/Travis → GitHub Actions, GitLab CI, or modern deployment pipelines - Build/package tooling: Maven → Gradle, Webpack → Vite, CRA → Next.js, npm → pnpm - APIs: REST → GraphQL, HTTP/REST → gRPC, SOAP/legacy APIs → modern interfaces - Authentication: Legacy auth → OAuth/OIDC, SAML/SSO, modern identity and authorisation systems - Repositories: Polyrepo → monorepo using Bazel, Nx, Turborepo, or similar - Testing: Migration of unit, integration, browser, and E2E testing frameworks - Dependencies/SDKs: Replacement of deprecated or EOL libraries, APIs, runtimes, and vendor SDKs Ideal Background - 5+ years of professional software engineering experience, ideally Senior, Staff, Principal, or equivalent. - Personally owned or made substantial technical contributions to large-scale production migrations. - Experience working with mature systems involving technical debt, complex dependencies, legacy integrations, and significant regression risk. - Strong knowledge of compatibility, testing, observability, staged rollouts, rollback strategies, and behavioural equivalence. - Ability to reason deeply about unfamiliar codebases and diagnose subtle migration failures. - Especially valuable: engineers who have modernised core banking, payments, trading, insurance, healthcare, telecom, or other high-reliability systems. - For COBOL/mainframe modernisation, experience with technologies such as z/OS, CICS, JCL, DB2, VSAM, batch processing, and COBOL-to-Java/Python migrations is particularly valuable. Why Join - Apply your migration expertise to help shape how frontier AI models understand and execute complex software modernisation. - Work on technically challenging problems modelled after real-world, production-scale legacy systems. - Contribute expertise developed from large enterprise migrations without needing an open-source maintainer background. - Opportunity for ongoing work as the research program expands.

Mercor

Financial Managers

MercorFinance & Accounting66 days ago

$70-$110/hr

Worldwide

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Mercor

Accounting & Audit Domain Expert

MercorFinance & Accounting68 days ago

$60-$100/hr

Not specified

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About this role

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview We are hiring a senior accounting and audit domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real accounting and audit work. Your accounting expertise is the substance of this role. You will review the quality of accounting knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided. 2. Key Responsibilities - Data QA and reviews: Vet the quality of accounting and audit knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, misapplied standards, unsupported accounting treatments, and answers that read well but would not survive review by a reviewing partner. - Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to accounting and audit problems, and define new tasks that reflect how the work is actually done in practice. - Benchmarks and domain depth: Design challenging accounting and audit tasks and evaluation sets, and help build domain-specific skills and tools together with the research team. - Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit accounting judgment into explicit, teachable criteria. 3. Core Qualifications - Credentials: An active professional credential, for example CPA, CA, CIA, CFE, or CMA, alongside a bachelor's or master's degree in accounting or a closely related field. - Experience: 4+ years of substantive accounting or audit experience at a recognized institution, for example a public accounting firm, a corporate controllership or finance function, an internal audit department, or a regulator. Bookkeeping-only roles do not count. - Domain depth: Genuine specialization in at least one area, for example external audit and assurance, technical accounting and financial reporting under US GAAP or IFRS, internal audit and SOX controls, tax, forensic accounting and fraud examination, or revenue recognition. - Seniority: Clear progression to a senior level, for example Audit Manager, Senior Manager, Accounting Manager, Controller, Director of Accounting, or Partner, with real ownership of engagements or reporting cycles. - AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. - Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. - Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided. - Excellent written communication, and the ability to give precise, well-structured written feedback. About Cincinnatus LLC Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Mercor

Investment Banking & M&A - Finance Domain Expert

MercorFinance & Accounting / Education & Humanities75 days ago

$100-$150/hr

Not specified

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About this role

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work. Your finance expertise is the substance of this role. You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. 2. Key Responsibilities - Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny. - Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice. - Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and help build finance-specific skills and tools together with the research team. - Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria. 3. Core Qualifications - Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count. - Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit. - Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions. - Education and credentials: An advanced degree from a strong program (MBA, MS, or PhD in finance, economics, accounting, or a quantitative field) and/or a recognized professional credential such as CFA, CPA, FRM, or an actuarial designation. Strongly preferred. - AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. - Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. - Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. - Excellent written communication, and the ability to give precise, well-structured written feedback. About Cincinnatus LLC Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Mercor

Private Equity & Venture Capital - Finance Domain Expert

MercorFinance & Accounting / Education & Humanities75 days ago

$110-$150/hr

Not specified

Apply

About this role

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work. Your finance expertise is the substance of this role. You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. 2. Key Responsibilities - Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny. - Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice. - Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and help build finance-specific skills and tools together with the research team. - Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria. 3. Core Qualifications - Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count. - Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit. - Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions. - Education and credentials: An advanced degree from a strong program (MBA, MS, or PhD in finance, economics, accounting, or a quantitative field) and/or a recognized professional credential such as CFA, CPA, FRM, or an actuarial designation. Strongly preferred. - AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. - Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. - Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. - Excellent written communication, and the ability to give precise, well-structured written feedback. About Cincinnatus LLC Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Mercor

Finance Domain Expert — AI Training & Evaluation

MercorFinance & Accounting / Education & Humanities76 days ago

$60-$100/hr

Not specified

Apply

About this role

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work. Your finance expertise is the substance of this role. You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. 2. Key Responsibilities - Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny. - Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice. - Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and help build finance-specific skills and tools together with the research team. - Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria. 3. Core Qualifications - Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count. - Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit. - Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions. - Education and credentials: An advanced degree from a strong program (MBA, MS, or PhD in finance, economics, accounting, or a quantitative field) and/or a recognized professional credential such as CFA, CPA, FRM, or an actuarial designation. Strongly preferred. - AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. - Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. - Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. - Excellent written communication, and the ability to give precise, well-structured written feedback. About Cincinnatus LLC Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Mercor

Biotech Investment Analyst — Drug Asset & Company Assessment

MercorFinance & Accounting82 days ago

$120-$200/hr

Not specified

Apply

Meridial

Finance and Insurance Specialist - Freelance AI Trainer Project

MeridialFinance & Accounting194 days ago

$10-$30/hr

United States

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About this role · Finance & Mathematics

Project Overview We are sourcing independent Finance and Insurance Specialists to provide their expertise for an AI benchmark evaluation project. As AI models increasingly generate professional-grade financial and insurance deliverables, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks, strong prompts, and clear, well-structured rubrics that generate clean, reliable data for model training. Project Deliverables & Scope Operate autonomously to design complex evaluation frameworks and provide structured training data. Expected deliverables include: - Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to the finance and insurance sectors. - Rubric Development: Writing clear, well-structured evaluation rubrics with criteria that are highly specific, non-ambiguous, and easy to score. - Benchmark Evaluation Data Generation: Producing clean, reliable training data that directly aids in the evaluation and refinement of AI models handling industry-specific tasks. - Quality Assurance & Fact-Checking: Ensuring all generated tasks and scoring criteria reflect strict, real-world industry standards and regulatory realities. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess deep industry knowledge to craft realistic professional scenarios. Core skillset includes: - Demonstrable professional expertise within the Finance and Insurance sectors, with a deep understanding of industry standards, terminology, and high-level deliverables. - Strong writing and prompt generation skills, with the ability to design highly realistic, complex task scenarios for AI evaluation. - Proficiency in rubric generation, specifically the ability to create objective, non-ambiguous scoring criteria that leave no room for subjective interpretation. - A meticulous, detail-oriented approach to generating clean, reliable data for system benchmarking. We offer a pay range of $10-$30 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote

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