Sales Specialist - Fully Remote | Upto $200/Hr

Mercor; San Francisco (CA); Hybrid; GBP 145,000 - 208,000; Full time

Job summary

Mercor seeks UK-based Data Engineering, Sales, and Consulting experts for a remote contract engagement from 14 September to 10 October 2026. The role requires deep data tooling experience and B2B SaaS sales capability, with a 40-hour week commitment.

Candidates should be ready for a high-cadence, cross-functional setup and UK business-hours alignment, with evidence of delivering complex data solutions and strategic advisory work.

Qualifications

• Must have Data Engineering experience with SQL, Python, ETL/ELT and modern data tooling.
• UK-based sales experience in B2B SaaS or similar with account management / revenue operations exposure.
• Consulting background from top-tier firms with operating model or redesign experience.

Responsibilities

• Produce professional documents and deliverables in your field, collaborating with domain experts.
• Log outputs to build tasks and rubrics for training and evaluating frontier AI models.
• Apply professional judgment to enhance value of the work.
• Engage in hands-on delivery or documentation and structuring of projects.
• Coordinate with UK business hours and avoid conflicting commitments.

Skills

Data Engineering

Sales

Consulting

Tools

SQL

Python

ETL

ELT

Spark

Kafka

Airflow

dbt

Snowflake

BigQuery

Databricks

AWS

GCP

Azure

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