WFH.teamOpen app$208k-$416k
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Decision details from the source listing
3+ years stated
Master’s, JD, MBA, PhD, or another advanced degree is a plus, not stated as required.
unspecified
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What this posting tells you
Remote, part-time contractor opportunity evaluating and improving AI-generated financial content. Seeks financial professionals with at least 3 years of experience in fields such as private equity, investment banking, equity research, investment management, or strategic finance. AI experience is not required. The listing provides no salary or compensation range.
Data, Finance and investments, Marketing, Product, QA and testing, Writing and content
Eligible countries are not stated.
Timezone overlap is not stated.
Experienced domain expert · Contractor · Part-time
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Data hiring on WFH.team
This role's listed pay is above the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketAI Finance Domain Expert at micro1
Role Title: AI Finance Domain Expert
Role Type: Contractor (Part Time)
Location: Remote
micro1 is engaging AI Finance Domain Experts to contribute to a customer's project focused on enhancing AI-driven financial applications. 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. This opportunity targets professionals with advanced financial acumen from private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance. Contributors will leverage their analytical rigor, financial judgment, and exceptional communication to ensure the quality and relevance of AI model outputs in finance.
Scope of Work
Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.
Develop, refine, and evaluate AI prompts related to financial analysis, valuation, and investment decision-making.
Assess and annotate complex financial data, reports, and model outputs using detailed rubrics and best practices.
Author and review technical documentation, investment memos, due-diligence reports, and research summaries.
Evaluate AI output for logical consistency, robustness, and adherence to professional financial standards.
Conduct independent research and fact checking to validate information used by AI systems.
Provide constructive feedback to optimize prompt engineering and improve model performance in finance use cases.
Preferred qualifications
Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.
Track record of producing high-quality investment memos, valuation analyses, financial models, due-diligence reports, or market research.
Demonstrated critical thinking, analytical reasoning, and attention to detail in fast-paced, data-driven environments.
Exceptional written communication and professional editing skills, with proficiency in technical and business writing.
Experience in prompt authoring, data annotation, content review, or evaluation of AI/model outputs is a strong advantage.
Master’s, JD, MBA, PhD, or other advanced degree is a plus; candidates with backgrounds from highly selective universities or equivalent academic programs are encouraged to participate.
Strong problem-solving ability, independent research experience, and a commitment to quality assurance and fact checking.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.