Help shape the future of AI by designing challenging bioinformatics problems that test and improve reasoning in cutting-edge models. Location: Remote Type: Contract / Part-time Commitment: 20 hours per week Compensation: Up to 40 USD / hr Project duration: 2 months, with potential extension Availability: Immediate start About the role We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Bioinformatics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. Responsibilities Design advanced bioinformatics problems for frontier AI training and evaluation Create deterministic problems with exactly one correct answer Write complete, verified solutions and clearly document the reasoning process Develop problems involving sequence analysis, genomics, transcriptomics, proteomics, phylogenetics, or computational biology Build tasks that require interpretation of biological data and multi-step computational reasoning Where relevant, use Python, R, command-line bioinformatics tools, or specialized computational workflows to validate solutions Ensure all outputs are technically precise, reproducible, and well-written in English Requirements Master’s or PhD in Bioinformatics, Computational Biology, Genomics, or a closely related field Strong research or industry experience working with biological datasets and computational analysis Strong Python and/or R skills Experience with sequence analysis, statistical methods, algorithms, and reproducible computational workflows Ability to design original, difficult problems that mirror real bioinformatics workflows Excellent attention to detail and technical writing skills in English Nice to have Experience with Biopython, Bioconductor, BLAST, SAMtools, BWA, GATK, Nextflow, Snakemake, or similar tools Background in next-generation sequencing, single-cell analysis, structural bioinformatics, or machine learning for biology Experience with benchmark design, scientific dataset curation, or evaluating AI systems on biological reasoning
