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Invisible Technologies · 4 weeks ago

Biology Expert (SME) - Freelance Project

United States

Full-time

Remote

Senior Level

$25/hr - $100/hr

5+ years exp

Agency is seeking a highly experienced Biology professional consultant to assist on AI training data projects for leading AI model builders and enterprises. The role involves defining success criteria, reviewing outputs, and providing guidance to ensure the delivery of high-quality, domain-specific annotated datasets.

Data Center AutomationInformation TechnologyProductivity ToolsProject Management

H1B Sponsor Likely

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

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

Qualification

PhD in BiologyQuality controlBiology expertiseTechnical documentationProject managementCommunication skillsAttention to detailProcess improvementFluency in EnglishTeam collaboration

Required

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

Benefits

Company‑sponsored benefits such as health insurance and PTO do not apply

Company

Invisible Technologies

Glassdoor3.9

Invisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI.

Founded in 2015

San Francisco, California, USA

201-500 employees

https://www.invisible.co/

H1B Sponsorship

Invisible Technologies has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2025 (9)