Invisible Technologies is looking for a Biology Expert (Subject Matter Expert) to consult on AI training data projects for leading AI model builders and enterprises. You will be instrumental in defining success criteria, reviewing outputs, and providing targeted guidance to improve the quality and speed of AI systems. Your core responsibility will be to deliver domain-specific annotated datasets that meet the highest technical standards.

What You'll Do

Define domain-specific quality success metrics.
Develop project-specific SOPs, QA rubrics, and reference materials to meet 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.
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.
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.

What We're Looking For

PhD in Biology, Bioinformatics, or a closely related field, with demonstrable industry or research impact.
Deep technical expertise (5+ years professional experience) in an 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.