SQL & Analytics Engineer Expert (Remote, Contract, $60–$100/hr) — AfterQuery via AI Gig Scout

SQL & Analytics Engineer Expert — AfterQuery via AI Gig Scout

Pay: $60–$100/hr · Location: Remote · Type: Contract

Full listing and apply link: https://aigigscout.com/jobs/afterquery/sql-and-analytics-engineer-expert-sql-analytics-engineer-expert?utm_source=kubernetesjobs&utm_medium=jobboard&utm_campaign=aigigscout_growth

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.

How our hiring process works

Apply at /apply/sql-analytics-engineer-expert. About five minutes. Resume plus a few structured questions.

Resume review. Every application gets read against a published rubric and gets a decision.

Written assessment. You may be asked to take a written assessment for further placement.

Onboarding. Sign the contractor agreement, connect Stripe, and get platform access.

Project match. You're matched to live work in your specialty, usually within a week of onboarding.

About AfterQuery

AfterQuery is an expert data lab. We build the evaluation and training data that frontier AI labs use to measure what their models can and can't do in real professional work. Our contributors are practicing professionals, not annotators, and the work is credited, reviewed, and paid at professional rates.

What you'll 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

Requirements

2+ years of professional analytics engineering or SQL heavy analytics work

Expert SQL across joins, window functions, CTEs, and query optimization

Hands on experience with a modern warehouse such as BigQuery, Snowflake, or Redshift

Clear written English for documenting data modeling reasoning

Able to commit at least 10 hours per week

Preferred qualifications

dbt or a similar transformation framework

Dimensional or semantic data modeling experience

Orchestration exposure such as Airflow or Dagster

Source: AI Gig Scout job page. Apply there for the original platform listing. Disclosure: posted by AI Gig Scout, an independent listing site (not AfterQuery); the apply link may be a referral link.