Students Across All Disciplines AI Evaluation Contributor

OpenTrain AI, Inc.; United States; Remote; USD 114,000 - 162,000; Part time

Benefits offered by this job

Remote and asynchronous work

Hourly pay $100

Job summary

OpenTrain AI, Inc. is seeking an AI Evaluation Contributor who will review AI-generated text, images, and diagrams using your academic discipline. This remote, asynchronous role pays $100 per hour and is open to eligible undergraduate students.

You will explain your decisions, identify errors and missing context, and complete annotation tasks during project windows across diverse materials such as schematics, spectra, maps, and diagrams.

Qualifications

• Review AI-generated text, images, and diagrams using knowledge from your academic discipline.
• Explain your decisions clearly and identify errors and missing context.
• Complete defined annotation tasks during project windows.
• Interpret materials such as schematics, spectra, maps, clinical images, artworks, and data charts.

Responsibilities

• Review AI-generated content using knowledge from your academic field.
• Write clear explanations and structured reasons for ratings.
• Find errors, ambiguity, missing context, and other quality issues.
• Interpret materials such as schematics, spectra, maps, clinical images, artworks, and data charts.
• Complete project-based evaluation and annotation assignments.

Skills

Discipline knowledge

Analytical reasoning

Clear English explanations

Education

Undergraduate student (junior or senior)

Job description

Students Across All Disciplines AI Evaluation Contributor

Review AI-generated text, images, and diagrams using knowledge from your academic discipline. Remote, asynchronous project work pays $100 per hour for eligible undergraduate students.

Remote Hourly · $100/hr

$100/hr

Compensation

Contract

Engagement

Remote

Location

Posted

Open in 95 countries

United States + more

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d'Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will assess AI-related content for accuracy, depth, clarity, and overall quality within your academic discipline. Your work may include written, visual, and diagram-based materials.

You will explain your decisions clearly, identify errors and missing context, and complete defined annotation tasks during project windows.

• Evaluate content using knowledge from your academic field
• Write clear explanations and structured reasons for your ratings
• Find errors, ambiguity, missing context, and other quality issues
• Interpret materials such as schematics, spectra, maps, clinical images, artworks, and data charts
• Complete project-based evaluation and annotation assignments

What it pays and takes

This is remote, asynchronous, project-based work designed to fit around academic commitments. It is open to eligible undergraduate students in the countries listed for the role.

• Pay: $100 per hour
• Work setup: Remote and asynchronous
• Education: Current junior or senior undergraduate at a research university
• Academic background: Strong academic standing and genuine subject-matter knowledge in your field
• Communication: Clear, well-reasoned English for explaining discipline-specific judgments
• Skills: Understanding of your field's visual conventions and technical vocabulary
• Equipment: Reliable internet access
• Helpful experience: Lab research, research assistance, independent study, or a thesis
• Helpful experience: Image-based or visual data such as microscopy, imaging, CAD, GIS, spectroscopy, diagrams, or archival materials

About AI training work

AI training is the human work behind better artificial intelligence, including reviewing content, rating model responses, and labeling data. People with strong academic or professional knowledge help identify issues that general reviewers may miss, making their expertise useful for specialized evaluation projects.

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