Students Across All Disciplines (Undergrad)

AfterQuery; South Africa; Teletrabalho; ZAR 599 000 - 1 124 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible schedule

Strong compensation

Resumo da oferta

AfterQuery is seeking undergraduate contributors for a remote, project-based AI evaluation research role. You will apply your domain knowledge to evaluate, write, and validate content requiring genuine academic expertise.

Projects are asynchronous and scheduled to fit your academic timetable, with an expectation of up to 10 hours per week per project window. Responsibilities include assessing materials for accuracy, providing structured rationale, and interpreting discipline-specific visuals.

Qualificações

• This is a remote, project-based role for undergraduates with strong academic standing.
• Ability to produce clear, well-reasoned written explanations of domain-specific judgments.
• Familiarity with visual conventions and technical vocabulary in your discipline.
• Reliable internet access and asynchronous, remote work availability.
• Strong English writing proficiency.

Responsabilidades

• Evaluate, write, and validate content requiring genuine academic knowledge.
• Assess materials for accuracy, depth, and quality from a trained specialist perspective.
• Identify errors, ambiguities, or gaps invisible to non-experts.
• Provide structured written rationale and feedback for each evaluation decision.
• Interpret visual or diagrammatic content specific to your field.
• Complete a defined set of annotation tasks within each project window (10–20 hrs/week).

Conhecimentos

English writing

Written explanations

Asynchronous work

Remote collaboration

Strong domain knowledge

Formação académica

Undergraduate student

Ferramentas

AI tools familiarity

Descrição da oferta de emprego

This is a remote, project-based role for strong undergraduates across academic disciplines, to contribute to an AI evaluation research project. You will apply the domain knowledge you've built through coursework, lab work, and research to assess, write, and validate content that requires genuine subject-matter knowledge in your field.

Work is asynchronous, assigned on a project-by-project basis, and structured to respect your existing academic schedule. You choose which projects to accept. Expect an estimated commitment of up to 10 hours per week for each project window you take on. This role offers strong pay, genuine intellectual engagement, and a meaningful addition to your academic and professional portfolio.

Responsibilities

• Apply your domain expertise to evaluate, write, and validate content that requires genuine academic knowledge in your field
• Assess materials for accuracy, depth, and quality from the perspective of a trained specialist in your discipline
• Identify errors, ambiguities, or gaps that would be invisible to a non-expert reviewer
• Provide structured written rationale and feedback for each evaluation decision
• Interpret and respond to visual or diagrammatic content specific to your field (e.g. schematics, spectra, maps, clinical images, artworks, data charts)
• Complete a defined set of annotation tasks within each project window (10–20 hrs/week)

Required Qualifications

• Currently a junior or senior undergraduate at a research university, with strong academic standing in your field
• Ability to produce clear, well-reasoned written explanations of domain-specific judgments
• Familiarity with the visual conventions and technical vocabulary of your discipline (e.g. reading spectra, interpreting schematics, analyzing maps, evaluating clinical images, or formal visual analysis)
• Reliable internet access and availability for asynchronous, remote work
• Strong English writing proficiency

Preferred Qualifications

• Research experience - a lab, RA position, independent study, or thesis - especially involving image-based or visual data (microscopy, imaging, CAD, GIS, spectroscopy, diagrammatic modeling, archival visual materials)
• Prior annotation, data labeling, or AI evaluation experience
• Strong academic standing in a top program in your discipline
• Familiarity with AI tools, large language models, or multimodal systems, even at a general level
• Quantitative methods training (relevant across science, social science, business, and engineering tracks)

Why apply

• Strong compensation Earn $800–$1,500 per project week depending on discipline and seniority, with top candidates eligible for premium rates.
• Intellectually engaging work Your domain knowledge directly shapes how AI systems understand your field - not busywork, but substantive expert evaluation.
• Fully flexible schedule Asynchronous work you fit around your academic commitments. Accept only the projects that work for your schedule.