Biology Benchmark Researcher (AI Data Trainer)

In this role, you will collaborate on AI-focused projects involving reasoning, problem-solving, data interpretation, and scientific explanation development. You will also contribute to building evaluation benchmarks for advanced Biology topics ranging from undergraduate to PhD-level concepts. Responsibilities Design and solve challenging Biology problems for AI model evaluation Create clear, step-by-step solutions with strong scientific reasoning Collaborate with researchers to improve AI model performance Contribute to benchmark creation for Biology curricula Analyze areas where language models struggle, including abstraction and multi-step reasoning Provide detailed annotations and constructive feedback Required Qualifications Master’s degree, Ph.D., Postdoctoral degree, or currently pursuing advanced studies in: Biology Biotechnology Biochemistry Related fields Strong research and analytical skills Excellent English comprehension and communication skills Ability to work independently in a remote environment Reliable desktop/laptop and internet connection Availability for 40 hours/week with at least 4 hours PST overlap Technical Requirements Candidates should be proficient in at least three of the following tools: BWA, Bowtie2, GATK, HMMER, HHsuite, STAR, SPAdes, IQ-TREE, OpenMM, AlphaFold2, PyOpenMS, RELION, PhysiCell, COPASI, Comet, COBRApy, Hifiasm, ABySS, DeepVariant, Flye, OR-Tools, Bracken, Kraken2, MEGAHIT, antiSMASH, BEAST2, FastTree, DIA-NN, Percolator, AutoDock Vina, CP2K, Salmon, MethylDackel, Canu, and GROMACS. Additional Notes LinkedIn profile must be included in the resume Candidates will undergo a background verification after onboarding Work allocation begins only after successful verification This is a freelance/contractor engagement with no medical or paid leave benefits Perks Fully remote work setup Opportunity to work on cutting-edge AI projects Collaborate with leading LLM research teams Potential contract extension based on performance