Students Across All Disciplines (Undergrad)

AfterQuery

Schweiz

Remote

CHF 36,000 - 68,000

Full time

7 days ago
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Benefits offered by this job

Flexible schedule
Remote work
Competitive per-project pay

Job summary

AfterQuery is seeking undergraduate contributors for a remote, project-based AI evaluation research role. You will apply domain knowledge from coursework, labs and research to assess, write, and validate content that requires genuine subject-matter knowledge in your field.

Work is asynchronous with a flexible schedule and 10–20 hours per week per project window. Compensation ranges from CHF 800 to CHF 1,500 per project week, with premium rates for top candidates.

Qualifications

  • Currently a junior or senior undergraduate at a research university with strong academic standing
  • Ability to produce clear, well-reasoned written explanations of domain-specific judgments
  • Familiarity with visual conventions and technical vocabulary of the discipline
  • Reliable internet access and availability for asynchronous, remote work
  • Strong English writing proficiency

Responsibilities

  • Apply 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
  • Complete a defined set of annotation tasks within each project window (10–20 hrs/week)

Skills

Domain knowledge
Research writing
English writing
Remote work

Education

Undergraduate student

Tools

AI tools familiarity

Job description

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.

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.
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