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Open nowPosted 170 days ago

Biology Benchmark Researcher (AI Data Trainer)

careerflow140 open roles

Where
International
Work mode
Remote
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Your applicationOpen nowBiology Benchmark Researcher (AI Data Trainer)careerflow · International

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Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 170 days ago

The posting

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
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