Micro1 review · AI Training & Data Labeling
Life Sciences Research Expert — Python (micro1)
What the work involves
micro1 is recruiting life sciences researchers with genuine hands-on Python skill to create, solve and review hard research problems that evaluate and improve advanced AI systems. The work is problem authorship plus verification: you design technically rigorous problems inside your own specialism, write reproducible Python analyses, models, simulations or data-processing workflows as the reference solution, and review other people's scientific solutions and code for correctness, clarity and completeness. Finding the error in technical reasoning or in the code is as much the job as producing the answer. They are hiring across medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology and bioinformatics, genetics and genomics, ecology and evolutionary biology, and biostatistics or biological data science, so depth in one area counts for more than breadth.
Contractor role, fully remote, around 15 hours a week on a schedule you set, weekends included. No prior AI training work is required.
What you'll do
- Create and solve technically rigorous scientific problems within your area of expertise
- Develop reproducible Python-based analyses, models, simulations or data-processing workflows
- Review scientific solutions and code for correctness, clarity and completeness
- Identify errors in technical reasoning or in the code behind a result
- Validate computational results and document the reasoning
- Work around 15 hours per week on a flexible, self-set schedule
Requirements & eligibility
- PhD, MD, or a master's degree with substantial research experience in a relevant life sciences discipline
- Strong scientific or applied research background, shown through publications, thesis work, computational projects, industry research or equivalent
- Practical Python experience for scientific computing, data analysis, modelling or simulation
- Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter or relevant domain-specific libraries
- Depth in at least one area: medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology and bioinformatics, genetics and genomics, ecology and evolutionary biology, or biostatistics
How to apply
Applications go directly to micro1. Read their terms before you sign up — and if anything feels off, run the scam check below first.
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