AfterQuery
AfterQueryVerified listing
RemoteHot

Undergraduate AI Evaluation Researcher - Remote

50–150/hr
Remote
Posted August 28, 2026
Contract
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Listing checked September 13, 2026 · pay as published by AfterQuery

Overview

AfterQuery hires undergraduates from any discipline for a remote, contract AI evaluation project. You will assess, write, and validate content that needs real academic knowledge, from spectra and schematics to clinical images and maps. The listing notes a 40-hour weekly commitment, while individual project windows ask for about 10-20 hours per week. Work runs on an async schedule, and you choose which projects to accept. Pay ranges from $50 to $150 per hour, and project-week earnings can reach $800-$1,500 based on discipline and seniority.

What You'll Do6

  • 1Evaluate, draft, and validate project content that calls for real academic knowledge in your discipline.
  • 2Judge submissions for accuracy, depth, and quality using the standards of a trained specialist in your field.
  • 3Flag mistakes, unclear points, and missing evidence that a non-expert reviewer would miss.
  • 4Write structured rationales and feedback that explain each evaluation decision.
  • 5Read and respond to visual or diagrammatic materials tied to your field, such as schematics, spectra, maps, clinical images, artworks, or data charts.
  • 6Finish a set number of annotation tasks during each project window, usually 10-20 hours per week.

Requirements10

  • 1Currently a junior or senior undergrad at a research university with strong standing in your major.
  • 2Able to explain domain-specific judgments in clear, well-reasoned writing.
  • 3Comfortable with the visual conventions and technical vocabulary of your field, whether that means reading spectra, interpreting schematics, analyzing maps, evaluating clinical images, or doing formal visual analysis.
  • 4Reliable internet access and availability for remote, asynchronous work, with a listed weekly commitment of 40 hours.
  • 5Strong English writing skills.
  • 6Research experience such as a lab role, RA position, independent study, or thesis, with a focus on image-based or visual data like microscopy, imaging, CAD, GIS, spectroscopy, diagrammatic modeling, or archival visual materials.
  • 7Prior annotation, data labeling, or AI evaluation work.
  • 8Academic standing in a top program within your discipline.
  • 9Familiarity with AI tools, large language models, or multimodal systems at a general level.
  • 10Training in quantitative methods, which helps across science, social science, business, and engineering tracks.

Who Should Apply

The ideal applicant is a junior or senior at a research university who can defend field-specific judgments in writing and work with visual material such as schematics, spectra, maps, or clinical images. Research experience in a lab, RA role, thesis, or independent study matters, and prior annotation or AI evaluation work gives you a clear edge. Candidates who lack strong English writing skills or cannot describe how they read a diagram, chart, or image often score low on fit. The role suits people who can manage async project windows around coursework, not those who need fixed daily supervision or synchronous team meetings. If your academic record is weak or you have no sample of domain writing, your application may fall short.

Salary Insight

Pay runs from $50 to $150 per hour. Project weeks pay $800 to $1,500 depending on discipline and seniority, and top candidates can qualify for premium rates. That range places the work above many standard undergraduate research or tutoring jobs, with the higher end tied to specialized fields and stronger research backgrounds.

Location

Typeremote
LocationRemote
This is a remote position

Compensation

$50–150/hr

Required Skills

ai evaluationdata annotationdata labelinglarge language modelsmultimodal systemsspectroscopygiscadmicroscopyclinical imagingschematic interpretationmap analysisvisual analysisquantitative methodsresearchacademic writingenglish writing

Application Tip

Pick one project-relevant sample from your field, like a labeled spectroscopy plot, a GIS map, or a clinical image, and write a short evaluation memo that states what you see, what looks correct, and what a non-expert would miss. Pair that with your research or annotation background so reviewers can see both domain depth and written rationale.

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