About the role
From AfterQuery’s listing.
Pay: $80/hour
Analytics engineers who live in dbt, BigQuery, and Snowflake to build the SQL scenarios frontier AI labs use to test model judgment.
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring analytics engineers as contractors to author and grade the SQL and data modeling scenarios those evaluations run on.
What you'll actually do
- Author realistic analytics scenarios, from raw tables through tested data models
- Write reference answers with the modeling and query reasoning behind each decision
- Grade model output for SQL correctness and warehouse efficiency
- Flag queries that read clean but return wrong or expensive results
Who this is for
- Practitioners with at least 2 years of analytics engineering or SQL heavy analytics work
- Experts in SQL across joins, window functions, CTEs, and query optimization
- Builders with hands on experience in a modern warehouse such as BigQuery, Snowflake, or Redshift
- Clear writers who can document the reasoning behind a data modeling decision
Contract and pay
- $60 to $100/hr, paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.
- Fully remote, fully async. No fixed hours.
- Minimum 10 hours per week, no maximum. Scale up or down week to week.
- No screen recording, no keystroke monitoring, no idle timers.
- Independent contractor. Ongoing project work rather than single task batches.
Who can apply
The listing only says “Remote”. That doesn’t mean worldwide. Check country eligibility on AfterQuery before you spend time on it.
How AfterQuery screens people
- 01Apply to the listing for your field.
- 02Expect a screening task that looks like the real work.
Before you apply
- No real platform charges you to apply or to “unlock” work.
- Apply to two or three platforms, not one. Acceptance is never certain.
- It’s contract work in projects. Hours vary week to week.
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