Public Finance AI Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow careers teaching AI by connecting trained contributors with focused projects, letting you build a unified portfolio and apply quickly to work that matches your skills.

Why AI training matters for finance

AI training is the human side of building intelligent systems: experts prepare, evaluate, and refine the examples and tasks that shape how models perform. In finance, that work ensures models reason like practitioners—interpreting evidence, applying methods, and producing policy‑relevant analysis with professional rigor.

• Work is remote and flexible—great for experienced practitioners who want project‑based, high‑impact contributions.
• Specialist finance skills are highly valued and often command premium pay.

The role

OpenTrain is recruiting a Public Finance AI Evaluation Expert to join a focused Finance Sprint. You will evaluate whether individual finance workflows and tasks accurately reflect real professional practice, using your judgment to assess realism, clarity, scope, and internal consistency.

This is a short, high‑engagement contract (the sprint runs over the next week) with expected commitment of 20+ hours per week.

• Employment type: Contractor, part‑time
• Work location: Remote — worldwide (English required)
• Duration: Short sprint (high engagement over the next week)
• Schedule: ~20+ hours/week

What you'll do

Your day‑to‑day work is focused, evidence‑based review and clear written feedback to improve task quality and realism.

• Review finance tasks and workflows for professional realism, clarity, scope, and internal consistency.
• Assess whether inputs, context, and expected workflows match how work is actually performed in your domain.
• Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases.
• Flag tasks that are too broad, too generic, or unlikely to produce meaningful signals of real finance capability.
• Provide concise, structured written feedback and targeted recommendations to improve task realism.
• Cross‑check task logic with trusted domain peers to maintain high quality across the sprint.

Requirements

Candidates must meet the experience and skill expectations described below. The project values strong quantitative reasoning, domain expertise, and clear written communication.

• Experience: Practitioner track 5–12 years, Senior reviewer track 10–18 years in relevant roles (public‑sector finance, municipal credit, public pensions, fiscal policy, applied economics, or empirical finance).
• Quant skills: Strong quantitative reasoning and fluency with financial or econometric analysis.
• Judgment: Ability to assess evidence quality, methodological choices, causal claims, and policy interpretations.
• Communication: Excellent written communication; able to explain not only whether something is correct, but why.
• Quality control: High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards.
• Valuable: Experience reviewing analysts, approving work, designing controls, or setting quality standards (especially for senior track).

Who should apply

Apply if you have solid public‑finance or applied economics experience and enjoy turning practitioner knowledge into crisp, actionable feedback. We welcome experienced practitioners who want short, focused, high‑impact contract work shaping how finance tasks are used to train AI.

• You are comfortable with text‑based review and structured rating tasks.
• You can commit to 20+ hours/week during a one‑week sprint and respond promptly to high‑engagement review cycles.
• You are fluent in English and able to write clear, professional feedback.

Compensation, schedule, and application

Pay is hourly at $115–$150 USD per hour (PAY_PER_HOUR). This project is a short, high‑intensity sprint requiring about 20+ hours/week over the coming week. OpenTrain is the hiring organization and will manage onboarding, task assignments, and payment.

• Hourly rate: $115–$150 USD/hour (per input pay range).
• Time commitment: 20+ hours/week; short sprint over the next week.
• How to apply: Create or use your OpenTrain account, complete the brief qualification steps, and submit your interest. Successful applicants will be onboarded and given task instructions and quality standards for the sprint.