Data Engineer AI Trainer

Mercor

Job Location:

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey.

Position: Data Engineering Expert
Type: Contract
Compensation: $90$125/hour
Location: Remote

Role Responsibilities

Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth.
Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior.
Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases.
Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets.
Work independently in long focus sessions to create challenging scenarios for agent evaluation.
Ensure tasks have checkable answers without open-ended essays or subjective judgment calls.

Qualifications

Must-Have

BS or MS in CS or related field.
3 years in data engineering or analytics engineering.
Expertise in dbt model development pipeline orchestration (Airflow Dagster Prefect) warehouse design (Snowflake BigQuery Redshift Databricks) and data quality and testing.
Comfortable with data engineering artifacts: dbt models DAGs schema docs data contracts and test suites.
Clear written communication skills to articulate reasoning and encode it into deterministic rubrics.

Compensation & Legal

Hourly contractor
Strong contributors are promoted based on task quality and throughput.

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Data Engineering Expert Type: Contract Compensation: $90$...

About the job

Position: Data Engineering Expert
Type: Contract
Compensation: $90$125/hour
Location: Remote

Role Responsibilities

Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth.
Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior.
Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases.
Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets.
Work independently in long focus sessions to create challenging scenarios for agent evaluation.
Ensure tasks have checkable answers without open-ended essays or subjective judgment calls.

Qualifications

Must-Have

BS or MS in CS or related field.
3 years in data engineering or analytics engineering.
Expertise in dbt model development pipeline orchestration (Airflow Dagster Prefect) warehouse design (Snowflake BigQuery Redshift Databricks) and data quality and testing.
Comfortable with data engineering artifacts: dbt models DAGs schema docs data contracts and test suites.
Clear written communication skills to articulate reasoning and encode it into deterministic rubrics.