Afterquery
Afterquery

Project Iter

datacontractRemote
SALARY
$150/hr
WORK TYPE
remote
JOB TYPE
contract
INDUSTRY
ai
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About the role

Pay: $150/hour

This is a remote, project-based role for industry professionals and PhD-level researchers across academic disciplines. You will complete tasks that draw on your domain expertise, research training, and analytical skills — including literature synthesis, technical writing, data analysis, experiment design, and specialized research tasks within your field. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge AI research, and a strong addition to your research portfolio.

Responsibilities

  • Apply your doctoral-level expertise to research tasks within your field of specialization
  • Conduct literature reviews, synthesize findings, and produce rigorous technical writing
  • Design and evaluate experiments, datasets, or methodologies relevant to your domain
  • Provide subject-matter expertise to support model evaluation, data curation, or benchmarking efforts
  • Document methodologies, results, and technical approaches clearly and reproducibly

Required qualifications

  • PhD (completed or in progress) in any quantitative, scientific, technical, or humanities field
  • Demonstrated expertise in your area of doctoral study, with the ability to apply it to applied research problems
  • Strong problem-solving skills and ability to work independently on technical and research tasks
  • Have at least 5 years of work experience in an applicable industry

Preferred qualifications

  • Experience working with AI/ML systems, datasets, or evaluation pipelines in your domain
  • Familiarity with technical writing, peer review, or grant writing in your field
  • Background in TA'ing or teaching at the graduate or undergraduate level
  • Published researcher with at least one first-author publication in a peer-reviewed venue
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