Project Iter

About this opportunity

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

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

Check the original posting for the complete requirements and current terms before applying. Applications are handled by AFTERQUERY.