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
What You'll Do
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
Who You Are
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
Nice to Have
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
Why Join Us
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