Remote AI Tutor — Data Science Specialist

Crossing Hurdles

United States

On-site

USD 90,000 - 200,000

Part time

14 days+
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Job summary

A tech-focused company is seeking a Remote AI Tutor for a Data Science Specialist role. This position offers an hourly contract with compensation ranging from $90k to $200k per year. The ideal candidate will hold a Master's or PhD in a related field, possess strong analytical skills, and have experience in AI education. Responsibilities include annotating AI outputs, delivering curated data, and collaborating with teams to refine workflows.

Qualifications

  • Experience as an AI tutor, educator, or technical trainer.
  • Published research or journal articles in recognized outlets.
  • Professional experience as a Data Scientist or quantitative researcher.

Responsibilities

  • Label, annotate, and evaluate AI-generated outputs related to data science and statistical modelling.
  • Deliver high-quality curated data for machine learning, statistics, and quantitative reasoning tasks.
  • Collaborate with engineers and research teams to develop and refine data-centric training workflows.
  • Contribute to the design and improvement of annotation tools.
  • Analyse tasks, follow evolving guidelines with precision.

Skills

Strong written and spoken communication skills in English
Excellent analytical, research, and problem-solving abilities
Ability to work independently with minimal supervision
Genuine passion for technological innovation and AI advancement

Education

Master’s degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or related disciplines
Medal from the International Mathematical Olympiad or similar global competition

Job description

A tech-focused company is seeking a Remote AI Tutor for a Data Science Specialist role. This position offers an hourly contract with compensation ranging from $90k to $200k per year. The ideal candidate will hold a Master's or PhD in a related field, possess strong analytical skills, and have experience in AI education. Responsibilities include annotating AI outputs, delivering curated data, and collaborating with teams to refine workflows.
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