The role
Over the next year, we expect Content Editors to mostly focus on:
- Producing summaries of forecasting rationales
- Writing forecasting questions. We are interviewing subject-matter experts in a range of fields, such as artificial intelligence and political science, and asking them for events or evidence that would strongly impact their probabilities of certain future events occurring. We are looking for Content Editors who can take the general suggestions from these interviews and develop them into detailed, resolvable forecasting questions.
- Writing policy reports and summaries of our team's research (as examples, see the XPT and AI Adversarial Collaboration Project)
- Conducting expert interviews
- Responding to forecasters’ questions or clarification requests
Qualifications
The ideal candidate would have the following characteristics, but please do not let this list prevent you from applying:
- Can write clearly and concisely
- Able to organize and consolidate a large amount of information, and present it in a clear and understandable manner
- Have high attention to detail and accuracy
- Familiarity with, and interest in, quantitative forecasting and writing forecasting questions
- Ability to work productively in a self-directed (remote) environment
- Receptive to feedback and willing to provide feedback to others
The fine print
Role details
- This is a part time role, with a preference for candidates who will be available 10+ hours/week.
- This role is entirely remote. Applicants can work whichever hours of the day work for them.
- We prefer applicants who can start immediately.
- Pay is commensurate with experience, starting at $20/hour.
Application process
We are reviewing applications on a rolling basis.
The application process will vary by candidate but for successful candidates will typically involve:
- An initial application
- A paid 10-hour work test
- A 45-minute interview