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Data Engineering Expert - UK Based

Mercor

Role overview

Qualifications

  • Experience with SQL, Python, ETL, ELT, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks on AWS, GCP, or Azure
  • Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue Operations Managers with B2B SaaS experience
  • Experience as Partners, Engagement Managers, Associates, or Consultants from top-tier strategy firms with target operating model or organizational redesign experience
  • Must be based in the United Kingdom and have the right to work in the United Kingdom

Responsibilities

  • Produce professional documents and deliverables in your field
  • Collaborate with experts from other domains
  • Log outputs to build tasks and rubrics for training and evaluating frontier AI models
  • Use professional judgment to enhance the value of the work

Key facts

Hard skills

Other skills

  • Consulting
  • Collaboration
  • Professional Responsibility
  • Communication

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

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.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

Links

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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, Sales, and Consulting Experts
Type: Contract
Compensation: $140–$200/hour
Location: Remote
Duration: 14 September to 10 October 2026
Commitment: 40 hours/week

Role Responsibilities

  • Produce professional documents and deliverables in your field. Collaborate with experts from other domains.
  • Log outputs to build tasks and rubrics for training and evaluating frontier AI models.
  • Use professional judgment to enhance the value of the work.
  • Work on hands-on delivery or document and structure the work.
  • Collaborate on a UK business-hours rhythm. Ensure no significant commitments to other projects during this period.

Qualifications

Must-Have

  • Data Engineering: Experience with SQL, Python, ETL, ELT, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks on AWS, GCP, or Azure.
  • Sales: Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue Operations Managers with B2B SaaS experience.
  • Consulting: Experience as Partners, Engagement Managers, Associates, or Consultants from top-tier strategy firms with target operating model or organizational redesign experience.
  • 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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