{"html":"<p>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.</p>\n<h3>Responsibilities</h3><ul><li>Apply your doctoral-level expertise to research tasks within your field of specialization</li><li>Conduct literature reviews, synthesize findings, and produce rigorous technical writing</li><li>Design and evaluate experiments, datasets, or methodologies relevant to your domain</li><li>Provide subject-matter expertise to support model evaluation, data curation, or benchmarking efforts</li><li>Document methodologies, results, and technical approaches clearly and reproducibly</li></ul><h3>Requirements</h3><ul><li>PhD (completed or in progress) in any quantitative, scientific, technical, or humanities field</li><li>Demonstrated expertise in your area of doctoral study, with the ability to apply it to applied research problems</li><li>Strong problem-solving skills and ability to work independently on technical and research tasks</li><li>Have at least 5 years of work experience in an applicable industry</li></ul><h3>Preferred qualifications</h3><ul><li>Experience working with AI/ML systems, datasets, or evaluation pipelines in your domain</li><li>Familiarity with technical writing, peer review, or grant writing in your field</li><li>Background in TA&#39;ing or teaching at the graduate or undergraduate level</li><li>Published researcher with at least one first-author publication in a peer-reviewed venue</li></ul>"}