Data Engineer - Fully Remote | Upto $80/hr at Mercor — NeverHard
Data Engineer - Fully Remote | Upto $80/hr at Mercor in Toronto, Ontario. Skills: AI Agents, Claude Code, Codex, Cursor, Data Engineering. Apply on NeverHard.
Company
Mercor
Location
Toronto, Ontario
Type
full_time
Remote: Yes
Required skills:
AI Agents
Claude Code
Codex
Cursor
Data Engineering
Data platforms
Data warehouses
Distributed Data Systems
ETL Pipelines
Gemini CLI
Job DescriptionJob 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:
Data Engineer (Coding Agent Experience)
Type:
Contract
Compensation:
$80/hour
Location:
Remote
Role Responsibilities
Use frontier
AI coding agents
to complete and evaluate complex
data engineering
tasks.
Review model-generated implementations involving
ETL pipelines
,
data warehouses
,
analytics platforms
, and
distributed data systems
.
Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
Compare outputs from multiple frontier models and assess their strengths and weaknesses.
Apply professional engineering judgment to realistic
data engineering
scenarios.
Qualifications
Must-Have
2+ years
of professional
data engineering
experience.
Experience building
ETL pipelines
,
data warehouses
,
analytics platforms
, or
distributed data systems
.
Regular use of
AI coding agents
such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
Ability to evaluate model-generated data infrastructure and pipeline implementations.
Preferred
Experience operating large-scale
data platforms
.
Compensation & Legal
$400 per accepted task
.
Compensation is tied to accepted work.
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: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.