Data Engineering Expert - Ai Trainer

Mercor; England; Remote; GBP 144,000 - 205,000; Full time

Job summary

Mercor connects elite creative and technical talent with AI research labs. UK-based data engineers are sought to develop and own production data pipelines, collaborating on AI model training and evaluation.

Role requires SQL, Python and experience with Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, Databricks on AWS, GCP or Azure. Remote work with UK business-hours rhythm; duration 14 Sep–10 Oct 2026, 40 hrs/week.

Qualifications

• Experience building and owning data pipelines in production.
• Proficiency in SQL and Python.
• Experience with ETL/ELT, orchestration, streaming and data warehousing.
• Must be based in the United Kingdom with right to work.

Responsibilities

• Develop and own data pipelines in production environments.
• Collaborate with experts to create tasks for AI model training and evaluation.
• Utilize SQL, Python and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on cloud platforms.
• Document and structure data engineering processes for knowledge transfer.
• Work within a UK business-hours rhythm to ensure seamless collaboration.

Skills

Data pipelines

SQL

Python

ETL/ELT

Tools

Spark

Kafka

Airflow

dbt

Snowflake

BigQuery

Databricks

AWS

GCP

Azure

Job description

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 D'Angelo, Larry Summers, and Jack Dorsey.

Position: UK-Based Data Engineering Experts
Type: Contract
Compensation: $140–$200/hour
Location: Remote
Duration: 14 September to 10 October 2026
Commitment: 40 hours/week

Role Responsibilities

• Develop and own data pipelines in production environments.
• Collaborate with experts to create tasks and rubrics for AI model training and evaluation.
• Utilize SQL, Python, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure.
• Document and structure data engineering processes for effective knowledge transfer.
• Work within a UK business-hours rhythm to ensure seamless collaboration.

Qualifications

Must-Have

• Data Engineers with experience in building and owning pipelines.
• Proficiency in SQL and Python.
• Experience with ETL and ELT, orchestration, streaming, and data warehousing.
• Must be based in the United Kingdom and have the right to work in the United Kingdom.

Interview Process

• Resume and work history screen.
• A short assessment evaluating domain expertise.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]

#hiringmercor