This role is for one of our clients
Compensation: $150-$200 per hour
Join a leading AI research initiative focused on evaluating the realism and quality of finance workflows used to train next-generation AI systems. We are seeking experienced finance professionals with expertise in real assets, project finance, infrastructure, energy, mining, and natural resources to assess whether complex financial tasks accurately reflect real-world industry practices.
This is a high-impact evaluation engagement where you'll apply your professional judgment to ensure AI training tasks mirror authentic financial workflows, decision-making processes, and analytical standards.
Due to the fast-paced nature of this project, selected candidates should be available to actively participate throughout the engagement. Tasks may require dedicated work sessions of approximately 2–4 hours and timely responses to project updates and reviewer feedback.
RequirementsKey Responsibilities
- Review finance workflows and task designs for professional realism, clarity, scope, and internal consistency.
- Evaluate whether task inputs, business context, expected analyses, and decision-making processes accurately represent real-world finance practices.
- Identify missing assumptions, ambiguous instructions, impractical constraints, unsupported requirements, and critical edge cases.
- Flag tasks that are overly broad, unrealistic, or unlikely to effectively measure professional finance capabilities.
- Provide concise, structured written feedback along with actionable recommendations to improve task quality and realism.
- Collaborate with fellow finance experts when necessary to maintain consistent evaluation standards across the project.
- Practitioner Track: 5–10 years of relevant professional experience.
- Senior Reviewer Track: 10–16 years of relevant professional experience.
- Hands-on experience in one or more of the following areas:
- Real estate underwriting
- Project finance
- Infrastructure finance
- Energy finance
- Mining
- Natural resources investing
- Strong expertise in:
- Cash-flow modeling
- Financial valuation
- Debt structuring
- Sensitivity and scenario analysis
- Ability to connect legal, operational, technical, and market considerations to financial outcomes and investment decisions.
- Excellent written communication skills with the ability to clearly explain not only whether an analysis is correct, but why.
- Exceptional attention to detail and the ability to evaluate work against structured quality standards.
- Experience reviewing analyst work, approving financial analyses, establishing quality controls, or developing evaluation standards.
- Prior experience participating in AI evaluation, data annotation, workflow validation, or structured review projects is advantageous.
The quality of AI systems depends on realistic, professionally grounded evaluation tasks. Your expertise will help ensure finance workflows accurately reflect real-world practice, enabling AI models to develop stronger analytical reasoning and decision-making capabilities across complex financial domains.
Equal OpportunityWe are committed to providing equal opportunities to all qualified applicants and fostering an inclusive environment. Reasonable accommodations are available throughout the application and engagement process upon request.
Contract & Payment Terms- Independent contractor engagement.
- Fully remote with flexible working hours.
- Project duration may vary depending on business requirements and individual performance.
- Weekly payments are processed through supported payment platforms.
- Applicants requiring H-1B or STEM OPT sponsorship are not eligible for this opportunity.
Skills Required
- 5-10 years relevant professional experience (Practitioner Track)
- 10-16 years relevant professional experience (Senior Reviewer Track)
- Hands-on experience in real estate underwriting
- Hands-on experience in project finance
- Hands-on experience in infrastructure finance
- Hands-on experience in energy finance
- Hands-on experience in mining
- Hands-on experience in natural resources investing
- Expertise in cash-flow modeling
- Expertise in financial valuation
- Expertise in debt structuring
- Expertise in sensitivity and scenario analysis
- Ability to connect legal, operational, technical, and market considerations to financial outcomes
- Excellent written communication skills to explain analyses and reasoning
- Exceptional attention to detail and ability to evaluate against structured quality standards
- Experience reviewing analyst work, approving analyses, or establishing quality controls
- Prior experience with AI evaluation, data annotation, or structured review projects
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.









