Data Science Specialist - Fully Remote | Up To $150/Hr

Mercor

Auckland

À distance

NZD 245 000 - 368 000

Temps partiel

Il y a 4 jours
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Résumé du poste

Mercor seeks a data-savvy professional for a remote contract role. You will evaluate AI-generated artifacts for data science use, identify and correct errors, and provide clear feedback to improve model outputs.

Requirements include 5+ years of Data Science experience at top firms in the US/UK/Canada/Australia/New Zealand, native or professional English, and strong Microsoft Office and Google Workspace skills. A Master’s degree is preferred.

Qualifications

  • 5+ years of Data Science experience at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace.

Responsabilités

  • Evaluate AI-generated artifacts for usability in data science contexts.
  • Identify and correct factual, aesthetic, and presentation errors.
  • Provide clear, structured written feedback to improve AI model outputs.
  • Collaborate with AI research teams to enhance training data quality.
  • Work independently and asynchronously to meet deadlines.

Connaissances

Data Science
English fluency
Microsoft Office
Google Workspace

Formation

Master's degree

Description du poste

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

Type: Contract
Compensation: $100–$150/hour
Location: Remote

Role Responsibilities
  • Evaluate AI-generated artifacts for usability in data science contexts.
  • Identify and correct factual, aesthetic, and presentation errors.
  • Provide clear, structured written feedback to improve AI model outputs.
  • Collaborate with AI research teams to enhance training data quality.
  • Work independently and asynchronously to meet deadlines.
Qualifications
Must-Have
  • 5+ years of relevant professional experience in Data Science at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word).
Preferred
  • Advanced degree (Master's or higher) from a reputable institution.
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