Research Evaluation Specialist (PhD / Researcher / Professor)

$30–60/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Sciences

Create and validate difficult research questions that expose the limits of advanced AI systems in your academic discipline. The work requires primary-source research, defensible answer reasoning, precise citations, and revision based on model performance and reviewer feedback.

The work

You will develop original, high-difficulty question-and-answer pairs at the research frontier of your discipline. Day-to-day work includes locating and triangulating primary sources, documenting citations and reasoning, testing questions against AI systems, identifying shortcuts or ambiguity, and revising items until they are both challenging and defensible.

What micro1 screens for

The screening is likely to examine your research background, command of primary literature, and ability to explain methodological choices under follow-up. A PhD, active PhD candidacy, or equivalent specialist research experience is preferred. Strong written communication skills in English are preferred. Prior AI training or evaluation experience is advantageous but not required.

Practical details

This is a remote contractor engagement with output-based compensation for tasks that meet project specifications. The listing does not specify fixed hours or explicitly describe the work as asynchronous, but it requires independent delivery and a minimum number of submissions each week. Selected experts are expected to begin their first tasks within 24–48 hours after onboarding.

Pay band: $30–60/hr

What they look for

Research & source triangulation
Attention to detail
Written precision
Self-direction & reliability
Analytical thinking
Research mastery

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your claimed specialization is supported by a PhD, active candidacy, publications, appointments, projects, or equivalent research work that can be verified.
A strong answer: Identify a narrow area of expertise and connect it to concrete research outputs, roles, methods, and dates. Distinguish direct expertise from adjacent topics you only know at a general level.
Where people lose it: Candidates lose points by naming a broad discipline without showing what they personally researched, published, taught, or investigated.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.