PhD Scientist — STEM Expert

Overview

This contract role with micro1 asks you to turn your own research into challenging technical problems for AI training. You will design questions with realistic constraints, supply the correct answer and reasoning, and set clear criteria for what counts as right. The work is fully remote and flexible, so it can fit around your current position. Strong backgrounds in wet lab, academic research, or clinical research are especially valued.

What You'll Do

• Create difficult technical problems based on your research area, including realistic constraints and supporting data.
• Provide the correct solution and explain the reasoning that leads to it.
• Set objective correctness criteria so another researcher would reach the same conclusion.
• Review problems submitted by other contributors for technical accuracy and sound methodology.
• Identify ambiguous or ungradable problems and flag them instead of submitting them.
• Complete screening questions and an AI interview as part of the application process.

Requirements

• Completed PhD in a STEM field.
• Hands-on research experience you performed yourself, not just read about.
• Ability to explain why an answer is correct in a way another researcher can verify.
• Strong background in experimental design, data analysis, or statistical analysis.
• Clear scientific writing and communication skills.

Preferred Qualifications

• Wet lab, research lab, or academic experience.
• Publications or a record of research contribution.
• Prior experience on AI training or evaluation projects.

Who Should Apply

PhD holders in STEM fields who have conducted their own research and can articulate complex reasoning. Ideal for researchers with wet lab, academic, or clinical experience who want flexible, remote work that values deep expertise.

Required Skills

Research · Data Analysis · Experimental Design · Scientific Writing · Statistical Analysis · Laboratory Skills · Wet Lab · Clinical Research · MATLAB · Python · SolidWorks · Biostatistics · Epidemiology · Clinical Trials · Data Visualization · Spectroscopy · Chromatography