Finance Workflow Realism Reviewer

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect expert contractors with projects that shape how AI systems behave, and we help contributors build a durable portfolio of real-world annotation and review work.

OpenTrain AI is the hiring and contracting organization for this role. We run projects across finance and other domains so subject-matter experts can contribute flexible, high-impact work without managing upstream clients directly.

About AI training and this kind of work

AI training (data labeling / human feedback) is the human side of model development. Experts review examples, rate outputs, and give structured feedback so models learn to act sensibly in domain-specific settings.

This role focuses on text-based evaluation work (RLHF and evaluation-rating) where reviewers judge the realism, clarity, and executable quality of finance tasks and workflows.

The role

You will evaluate finance tasks and workflows for realism, internal consistency, and fidelity to professional practice. Your reviews will identify missing assumptions, impractical constraints, and ambiguous instructions, and will recommend concrete fixes.

Work is contractor-based, performed in English, and centers on text evaluations that feed into model training and quality-control processes.

• Job type: Contractor
• Data type: Text (RLHF, evaluation-rating)
• Work language: English

What you'll do

Deliver concise, actionable reviews that explain whether a task mirrors real finance workflows and why. Flag tasks that are too broad, generic, or unlikely to reveal genuine finance capability.

When needed, cross-check task logic with domain peers and reference standards to ensure recommendations are market-aware and executable.

• Review tasks for realism, clarity, scope, and internal consistency
• Assess whether inputs, context, and expected workflow match domain practice
• Identify missing assumptions, ambiguous instructions, and impractical constraints
• Flag tasks that won’t test real finance capability (too broad or generic)
• Provide structured written feedback and targeted recommendations
• Cross-check task logic with trusted domain peers when necessary

Requirements

You must bring deep, practical finance experience and strong quantitative judgment. The role requires the ability to tell apart theoretical correctness from analysis that is executable in real markets.

Clear written communication and professional judgment are essential because your feedback directly shapes model behavior and task quality standards.

• Expert-level experience in at least one: derivatives trading, volatility, FX, futures, market making, systematic execution, crypto/DeFi, or market structure
• Strong quantitative reasoning about pricing, hedging, liquidity, and risk
• Proven ability to evaluate whether a workflow is market-executable versus only theoretically correct
• Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable
• Comfort writing concise, structured feedback that explains whether a workflow is realistic and why

Who should apply

This role is built for experienced finance practitioners who enjoy critique and quality control: traders, quant researchers, execution specialists, risk managers, or senior analysts who have reviewed or approved analyst output.

If you like improving how problems are posed and can translate tacit market knowledge into clear review guidance, you’ll be a strong fit.

Compensation & logistics

Pay is hourly as a contractor at $180–$235 USD per hour. Projects are text-based evaluation assignments (RLHF / evaluation-rating). OpenTrain will manage contracting and payment.

Applicants should be fluent in English. Specific scheduling and project durations vary by engagement; OpenTrain will share assignment details when you apply.

• Rate: $180–$235 USD per hour
• Employment: Contractor
• Data/label types: EVALUATION_RATING, RLHF (text-based)