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Generalist PhD (Project Iter)

AfterQuery
20 hours ago
Contract
Remote
Worldwide
AI Trainer Jobs – Train AI Systems In Your Area Of Expertise

This is a remote, project-based role for 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.

Commitment: 10 hours/week | Pay: $120 - $180/hr | Type: Contract

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

  • Published researcher with at least one first-author publication in a peer-reviewed venue
  • 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

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

Why Apply

  • Flexible Time Commitment – Work on your schedule while tackling meaningful research challenges
  • Startup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart
  • Exceptional Pay – Project-based pay ranges from $120–$180/hour
  • Portfolio Building – Gain experience contributing to frontier AI research across diverse domains
  • Professional Growth – Sharpen your skills on varied, real-world research problems and datasets