Data Engineering Specialist - Fully Remote | Up to $180/hr
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Salary
≈ $129k – $239k per year (Estimated)
Location
Remote (likely United States)
Seniority
Middle · 4+ years exp
Employment
Part-Time
First seen by Alion on Oct 29, 2026. Mercor scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Mercor is an American company founded in 2023 by three Thiel Fellows that recruits and pays domain experts to produce the training and evaluation data frontier artificial intelligence labs need. Its business shifted quickly from general talent matching to expert data work: as models became competent at ordinary tasks, the scarce input became judgement from practising doctors, lawyers, bankers and engineers, and Mercor sources, vets and pays those people at very large scale. Headquartered in San Francisco and valued in the billions within two years of founding, it pays out enormous sums annually to a contributor network rather than employing them.
Backed by General Catalyst, Silicon Valley Investclub, Felicis
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: Senior Data Scientist and Data Engineering Experts
Type:
Contract
Compensation:
$120-$180/hour
Location:
Remote
Role Responsibilities
- Design realistic, challenging data science and data engineering tasks, including exploratory analyses, statistical modeling, machine learning pipelines, ETL, and data pipeline design.
- Illustrate "what good looks like" by writing precise, task-specific criteria for data science and data engineering deliverables.
- Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
- Take structured feedback from senior reviewers and iterate on submitted work.
- Train and evaluate frontier AI models using expertise from top technology, quantitative, or financial firms.
- Work independently and asynchronously to improve AI model performance.
Qualifications
Must-Have
4+ years of professional data science, data engineering, or machine learning experience.
- Strong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference.
- Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines.
- Excellent written English, including the ability to explain technical findings clearly.
Bachelor's degree from an English-speaking country.
- Detail-oriented, consistent approach to evaluating complex 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: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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