AI training contract
STEM Expert – Biology & Bioinformatics (PhD)
Engineering · USD 45-90 an hour. · 50 openings
STEM Expert – Biology & Bioinformatics (PhD) is contract work for micro1, reviewing and correcting what AI models produce in engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 45 to USD 90 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is global and fully remote. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. That rule comes from micro1's own FAQ at www.micro1.ai/experts, read on 2026-10-05. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: scientific software configuration, ai/ml-assisted chemistry workflows, quantitative analysis, analytical reasoning, scientific programming, written communication, verbal communication, documentation, problem-solving.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Job Title: STEM Expert – Biology & Bioinformatics (PhD) Job Type: Contractor Location: Remote(Worldwide) Job Summary: 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. Key Responsibilities: Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives. Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility. Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations. Leverage domain knowledge to guide the development and validation of biology-related AI models and tools. Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators. Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team. Areas of Expertise (we welcome applicants from any of the following): Genomics & NGS analysis Transcriptomics & single-cell analysis Proteomics & structural biology Molecular & cell biology Systems biology & biological network analysis Drug discovery & computational pharmacology Biostatistics & machine learning applied to biology Required Skills and Qualifications: PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience. Professional written and spoken English (C1 or higher). Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data. Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython). Strong statistical, quantitative, and analytical reasoning skills. Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts. Track record of rigorous scientific problem-solving in complex biological domains. Preferred Qualifications: Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments. Experience with AI/ML-assisted biology workflows or benchmarking. Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
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Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.