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Why this grade This listing scored 48/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
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
- Produce professional documents and deliverables in Data Engineering.
- Collaborate with experts from other domains to build tasks and rubrics for AI model training.
- Utilize a core stack of SQL and Python for ETL and ELT processes.
- Work with tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure.
- Document and structure work to enhance AI model evaluation.
- Operate on a UK business-hours rhythm while maintaining independent work.
Qualifications
Must-Have
- Data Engineers with experience in building and owning pipelines in production.
- Proficiency in SQL and Python.
- Experience with ETL, 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.
- 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:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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Where this listing came from
- 07 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.