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Data Engineering Expert - AI Trainer

Role overview

Qualifications

  • 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

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

Key facts

Hard skills

Other skills

  • Collaboration

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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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.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



#hiringmercor

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