Biology Expert (SME)

Overview

We are seeking a highly experienced Biology professional consultant to serve as a consultant on AI training data projects for leading AI model builders and enterprises. Your focus will be to define success criteria, review outputs, and provide targeted guidance to improve quality and speed — directly contributing to the successful delivery of domain-specific annotated datasets that meet the highest technical standards. You will be engaged on specific projects with clearly defined deliverables, milestones, and end dates.

Responsibilities

• Define domain-specific quality success metrics.
• Develop project-specific SOPs, QA rubrics, and reference materials for the specific purpose of meeting client technical standards.
• Review project outputs (annotations, classifications, metadata) against technical standards, flagging and correcting errors before client delivery.
• Perform structured QA passes on daily / weekly deliverables; flag, track, and resolve defects quickly to hit delivery deadlines.
• Return work to contractors with precise remediation notes.
• Provide advisory input on tools, workflows, and processes to meet quality benchmarks.
• Handle spec changes and edge-case scenarios — e.g., new nomenclature updates, ambiguous classifications, or evolving research standards — drafting acceptance criteria or workarounds.
• Curate example libraries of “gold standard” annotated datasets for calibration and comparability to reference samples.

Talent Vetting & Output Improvement

Project Delivery Support

Target Profile

Example Biology Data Annotation Potential Scope

Field of Study

Task Specialties

Molecular Biology — DNA / RNA sequence generation and correction

Genetics / Genomics — Variant calling, CRISPR modeling, gene editing simulation

Bioinformatics — Running / validating pipelines, FASTA / FASTQ parsing

Cell Biology — Organelle identification, diagram labeling, mitosis modeling

Microbiology — Bacterial strain classification, disease mechanism support

Virology — Virus lifecycle modeling, pathogen mapping

Neurobiology — Neuron signaling diagramming, brain region identification

Immunology — Antibody interaction simulation, immune response modeling

Developmental Biology — Timeline modeling, embryo stage reasoning

Evolutionary Biology — Phylogenetic tree creation, evolutionary trait tracing

Systems Biology — Pathway modeling, protein interaction networks

Biotech / Biochem — Enzyme reaction prediction, lab technique simulations

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