12 days ago

AI Research Scientist

Mercor

Hybrid
Part Time
$240,000
Hybrid

Job Overview

Job TitleAI Research Scientist
Job TypePart Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$240,000
LocationHybrid

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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 Details

Role: Machine Learning Engineer Type: Project-based Compensation: $100–$120/hour Location: Remote

Role Responsibilities

  • Design and develop detailed evaluation suites for ML tasks.
  • Assess AI-generated solutions in model training, debugging, and optimization.
  • Translate practical ML research into structured benchmarks.
  • Work independently and asynchronously to meet deadlines.
  • Collaborate with AI research teams to reflect real-world engineering tasks.

Qualifications

  • 3+ years of experience in machine learning engineering or applied ML research.
  • Hands-on experience with model development, experimentation, and evaluation.
  • Background in ML research preferred (industry or academic).
  • Strong reasoning on ML system design choices and tradeoffs.
  • Excellent written communication and high technical detail orientation.

Application Process

Upload resume, AI interview based on your resume, submit form. The process takes 20–30 minutes.

Resources & Support

For details about the interview process and platform, please visit this link. For any help, contact support@mercor.com.

Key Skills/Competency

  • machine learning
  • evaluation suites
  • ML research
  • model training
  • debugging
  • optimization
  • benchmarking
  • independent work
  • collaboration
  • technical detail

Tags:

AI Research Scientist
machine learning
evaluation suites
ML research
model training
benchmarking
debugging
optimization
project-based
remote

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How to Get Hired at Mercor

  • Research Mercor's culture: study their mission and investor background.
  • Tailor your resume: highlight ML research and engineering achievements.
  • Complete application steps: follow instructions precisely.
  • Prepare for AI interview: review ML projects and technical concepts.

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