Posted over 30 days ago. Roles like this often stay open for a while, so it's still worth applying.
Data Engineering Expert at Mercor
posted 1 month agoData Engineering Expert | $140–200/hr | Remote (UK-Based)
Mercor is recruiting experienced Data Engineering professionals for a short, intensive project with a globally leading AI lab. Your professional expertise will directly shape the tasks and evaluation rubrics used to train and assess frontier AI models — making your real-world judgement the core of what drives value in this engagement.
What You'll Do
You will produce professional documents and deliverables representative of your day-to-day work, collaborating alongside experts from complementary domains. These outputs are logged and used to build training and evaluation frameworks for cutting-edge AI systems.
Who We're Looking For
We are seeking hands-on Data Engineers who build and own pipelines in production. Relevant titles include:
- Data Engineer (Mid, Senior, or Staff level)
- Analytics Engineer
- Data Platform Engineer
- Data Architect
Core technical stack:
- SQL and Python proficiency
- Experience with ETL/ELT, orchestration, streaming, and data warehousing
- Familiarity with tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks
- Cloud experience on AWS, GCP, or Azure
Commitment & Schedule
- 40 hours per week from 14 September to 10 October 2026
- Collaboration follows a UK business-hours rhythm
- Candidates should not have other significant project commitments during this period; smaller side projects can be discussed
Vetting Process
- Resume and work history review
- Short domain expertise assessment
Important: Candidates must be based in the United Kingdom and hold the right to work in the UK. This is a strict and essential requirement for this role.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.