Remote Quant Finance Forecasting Analyst — AI Validator

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 124,000; Part time

Job summary

Alignerr seeks a Quantitative Finance Forecasting Analyst (AI Training) to review AI-generated market forecasts, validate model inputs, and assess assumptions. This fully remote, hourly contract role suits finance and data professionals who rigorously test numbers and logic.

You will work asynchronously, interpret structured financial data, and deliver clear findings to support AI-driven finance reasoning. Flexible schedule and project-based workload.

Qualifications

• Strong background in quantitative finance, statistics, economics, or data analysis.
• Sharp reasoning when it comes to model logic, assumptions, and limitations.
• Comfortable working with structured financial datasets and interpreting complex outputs.
• Detail-oriented and systematic — you notice when numbers don't add up.
• Clear, concise written communicator who can translate technical findings into accessible summaries.
• Self-motivated and reliable when working independently without supervision.

Responsibilities

• Review and assess quantitative model outputs and their underlying data inputs
• Validate forecasting assumptions and identify the key drivers behind predictions
• Summarize expected trends and performance scenarios with clarity and precision
• Identify anomalies, inconsistencies, or logical gaps in structured financial data
• Deliver structured findings using standardized evaluation formats
• Work independently and asynchronously — on your own schedule

Skills

Quantitative finance

Statistics

Data analysis

Model validation

Written communication

Tools

Python

R

Job description

Alignerr seeks a Quantitative Finance Forecasting Analyst (AI Training) to review AI-generated market forecasts, validate model inputs, and assess assumptions. This fully remote, hourly contract role suits finance and data professionals who rigorously test numbers and logic.

You will work asynchronously, interpret structured financial data, and deliver clear findings to support AI-driven finance reasoning. Flexible schedule and project-based workload.