Quantitative Finance Forecasting Analyst

Quantitative Finance Forecasting Analyst (AI Training)
About the Role
What if your quantitative finance expertise could directly shape how AI reasons about markets, models, and economic forecasts? We're looking for Quantitative Finance Forecasting Analysts to evaluate AI-generated predictive models — validating assumptions, scrutinizing outputs, and helping ensure that the financial reasoning AI produces is rigorous, coherent, and trustworthy.
This is a fully remote, flexible contract role built for finance and data professionals who think critically about numbers. If you can spot a flawed assumption or a broken model logic chain, this role was made for you.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : Flexible hours, work at your own pace

• Commitment : Flexible hours, work at your own pace

• Evaluate AI-generated quantitative model outputs and assess whether inputs, logic, and assumptions hold up

• Validate key forecasting drivers and flag inconsistencies, errors, or unrealistic assumptions

• Summarize expected trends and performance scenarios in clear, structured formats

• Identify anomalies in structured financial and statistical data

• Deliver findings using standardized evaluation frameworks designed for AI training

- Work independently and asynchronously — fully on your own schedule

• Work independently and asynchronously — fully on your own schedule

• Strong background in quantitative finance, statistics, econometrics, or data analysis

• Sharp analytical thinker who can interrogate model logic and spot weak assumptions

• Comfortable working with structured data and interpreting complex quantitative outputs

• Detail-oriented and systematic — you don't let inconsistencies slip through

• Clear written communicator who can distill technical findings concisely

- Self-motivated and reliable when working independently without supervision

• Self-motivated and reliable when working independently without supervision

• Familiarity with Python, R, MATLAB, or other quantitative modeling tools

• Experience in financial modeling, forecasting, risk analysis, or investment research

• Background in academia, sell-side/buy-side finance, or quantitative research

- Prior exposure to AI evaluation workflows or data labeling platforms

• Prior exposure to AI evaluation workflows or data labeling platforms

• Work on cutting-edge AI projects alongside leading research labs

• Fully remote and flexible — work when and where it suits you

• Freelance autonomy with the structure of meaningful, task-based work

• Put your quantitative expertise to work on problems that directly influence how AI understands finance

• Potential for ongoing work and contract extension as new projects launch