Purpose

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.

Components

Technical Standard Setting, Quality Control, and Process Improvement

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

Participate in vetting and assessing technical contractor talent for specific projects, including sample annotation reviews and domain-specific knowledge tests.
Review sample work from contractors and provide precise, actionable written feedback to improve outputs.
Create targeted training or calibration resources — e.g., correct application of nomenclature, guidelines for ambiguous cases, data formatting standards.

Project Delivery Support

Advise on technical scoping and requirements during project setup, including reference data sources and domain-specific quality thresholds.
Provide expert guidance for edge cases, technical exceptions, and specification changes during the project lifecycle.
Contribute to post-project reviews to capture lessons learned and improve future standards.
Identify and summarize client model observations and insights (e.g., misclassification trends, knowledge gaps in model outputs).
Build dashboards or trackers with defect categories and recurrence to surface production insights that improve project outcomes.
Conduct post-mortems, analyze defect trends, and propose process tweaks or training refreshers.

Target Profile

PhD in Biology, Bioinformatics, or a closely related field, with demonstrable industry or research impact.
Deep technical expertise (5+ years professional experience) in advanced Biology field.
Proven ability to set, enforce, and maintain high technical standards in your field.
Strong communication skills for delivering clear technical guidance.
Experience producing technical documentation, quality rubrics, or training resources.
Ability to work within fixed project timelines and scope.
Strong attention to detail, documentation discipline, and commitment to accuracy and consistency.
Fluency in spoken and written English, with clear and concise writing skills.

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

We offer a pay range of $25-to- $100 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you'll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Biology Expert (SME)
Employment type: Contract
Workplace type: Remote
Seniority level: Senior Level

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