Students Across All Disciplines (Undergrad)

AfterQuery; España; A distancia; EUR 32.000 - 61.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay per project week

Fully flexible schedule

Descripción de la vacante

AfterQuery is seeking undergraduates for a remote, project-based AI evaluation research role. You will apply domain knowledge from coursework to assess, write, and validate content demanding subject-matter expertise.

Work is asynchronous and project-by-project, with flexible scheduling to fit academic commitments. Compensation ranges from $800 to $1,500 per project week, depending on discipline and seniority.

Formación

• Must be an undergraduate junior or senior with strong academic record.
• Ability to articulate domain-specific judgments in writing.
• Familiarity with the visual conventions and technical vocabulary of your discipline.
• Reliable internet access and availability for asynchronous, remote work.
• Strong English writing proficiency.

Responsabilidades

• Evaluate, write, and validate content requiring subject 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 for each evaluation decision.
• Interpret visuals such as spectra, maps, clinical images, or diagrams.
• Complete a defined set of annotation tasks within each project window (10–20 hrs/week).

Conocimientos

Undergraduate student

Written communication

Domain knowledge

Remote work

English writing

Research experience

Annotation/data labeling

Academic standing

Familiarity with AI tools

Quantitative methods training

Educación

Undergraduate student

Descripción del empleo

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.