Research Evaluation Specialist (PhD or Masters / Researcher / Professor)
micro1 is hiring a Research Evaluation Specialist (PhD or Masters / Researcher / Professor) for a remote role. It pays $30-$60/hr and Level rates it ; you can apply on micro1.
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Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions AI evaluation and AI data labeling among its tools and skills.
- micro1 has 291 other open roles on Level.
- Posted in the last few days.
AI in this role
Role Title: Research Evaluation Specialist (PhD or Masters / Researcher)
Role Type: Contractor (~15 hs a week)
Location: Remote, worldwide
micro1 is engaging Research Evaluation Specialists (PhD or Masters / Researcher) to contribute expert insight in developing rigorous test material for advanced AI model evaluation as part of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Prior experience in AI is required while your domain knowledge brings high value.
Scope of Work
- Create original, high-difficulty question-and-answer pairs at the cutting edge of your discipline to rigorously assess AI model capabilities.
- Source, verify, and thoroughly document answers using primary sources and authoritative references, including clear citations and reasoning.
- Design questions demanding advanced reasoning, methodological nuance, or synthesis across multiple sources, ensuring resistance to oversimplified or shortcut solutions.
- Test questions against AI systems, identify items that are not sufficiently challenging, and iteratively increase complexity while maintaining accuracy.
- Write each question and answer with high precision and clarity, eliminating ambiguity and supporting defensible responses.
- Integrate reviewer feedback and consistently uphold all project guidelines and quality standards throughout your deliverables.
Preferred Qualifications
- Masters or PhD completed, active candidacy, or equivalent research experience as a specialist, researcher, assistant professor or professor in your domain.
- Demonstrated track record of scholarly research, in-depth subject matter expertise, and familiarity with primary literature.
- Exceptional analytical thinking, close attention to detail, and strong written communication skills in English.
- Experience sourcing and triangulating information from authoritative references.
- Proven self-direction and reliability in delivering expert-level work independently within remote engagements.
- Skill in composing challenging, original, and methodologically sound questions.
- Prior experience in AI training, data labeling, or model evaluation is required.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
How we rate this
Research Evaluation Specialist (PhD or Masters / Researcher / Professor) at micro1 rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- How do you keep labeling instructions consistent across a large annotation team?
Adapt your resume
- List these exact terms on your resume: AI Evaluation and AI Data Labeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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