You will produce the kind of professional documents and deliverables you create day to day in your own field, working alongside experts from the other two domains. Those outputs are then logged and used to build the tasks and rubrics that train and evaluate frontier AI models, so your professional judgement is the core of what makes the work valuable.

Some roles focus on hands-on delivery, others on documenting and structuring that work.

Who we are looking for

• Data Engineers: hands-on data engineers who build and own pipelines in production. Titles such as Data Engineer, Senior or Staff Data Engineer, Analytics Engineer, Data Platform Engineer and Data Architect. We are looking for a core stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure.

Commitment

• 40 hours per week, running from 14 September to 10 October 2026.
• The project team collaborates on a UK business-hours rhythm.
• You should not be committed to other projects requiring significant hours during this period. Smaller side projects can be discussed.

The vetting process involves

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

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

Please note: Candidates must be based in the United Kingdom and have the right to work in the United Kingdom. This is an essential requirement for the role.

Work arrangement: Fully remote

Eligible countries: United Kingdom

• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

• Payments are weekly on Stripe or Wise based on services rendered.