Sales Specialist - Fully Remote | Upto $200/hr

About the role

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 ExpertsType:ContractCompensation:$140–$200/hourLocation:RemoteDuration:14 September to 10 October 2026Commitment: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: 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

Skills mentioned in the listing

Customer successPythonSQLAWSAzureGoogle CloudSparkDatabricksSnowflakeETLData engineering

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Customer success · mentioned
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, E

Python · requirement-context
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

SQL · requirement-context
ring 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: Experien

AWS · mentioned
nd 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 Oper

Azure · mentioned
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 Manage

Google Cloud · mentioned
ols 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 Operation

Spark · requirement-context
t-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 Mana

Databricks · mentioned
n, 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 Sale

Snowflake · mentioned
perience 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 Manag

ETL · requirement-context
iod. 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

Data engineering · mentioned
Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: UK-based Data Engineering, Sales, and Consulting ExpertsType:ContractCompensation:$140–$200/hourLocation:RemoteDuration:14 September to 10 October 20