Biology Benchmark Researcher (AI Data Trainer)

Careerflow

Careerflow

Software Engineering, Data Science

International Falls, MN, USA

Posted on May 9, 2026

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

See more open positions at Careerflow