Quant STEM Bachelor AI Training Reviewer; English

Review homework problems and AI responses across quantitative subjects, then give clear feedback on accuracy and reasoning. This remote, part-time contractor role pays $20 to $45 per hour.

Remote Hourly · $20–$45/hr

$20–$45/hr

Contract, part-time

Remote

Open in 52 countries

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

You will help improve AI systems by reviewing educational and quantitative content. The work covers school-level and introductory college problems, along with long-form model responses in several subjects.

You will explain your reasoning, identify errors and common misconceptions, and give detailed feedback on how well an AI system handles quantitative material.

• Analyze and annotate homework problems in mathematics, physics, chemistry, finance, and economics.
• Compare long-form responses for clarity, correctness, and educational value.
• Review and edit annotated materials for consistency and accuracy.
• Take part in detailed written and verbal discussions about the content and model responses.

This is a remote, part-time contractor role. Prior AI experience is not required, but quantitative subject knowledge is central to the work.

• Pay: $20 to $45 per hour.
• Work type:
  Remote contract work on a part-time basis.
• Location:
  
  Open to candidates in the countries listed for this role.
• Education:
  
  A bachelor's degree or equivalent experience in mathematics, science, engineering, economics, finance, or a related field.
• Skills:
  
  Strong quantitative analysis and problem-solving, Python proficiency, and familiarity with finance and economics concepts.
• Communication:
  Clear written and verbal communication, careful reading of complex multi-turn conversations, and strong attention to clarity and precision.
• Helpful background:
  Annotation, educational content review, or similar detailed feedback work.

AI training work is the human side of building artificial intelligence. Reviewers prepare examples and assess model responses so AI systems can handle real questions more accurately, and subject-matter knowledge helps produce useful, reliable feedback.

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