Qureos Mentor

GHI LLC

About the roleYou will help train and QA the &ldquo;language brain&rdquo; of our system. Using clear guidelines, you&rsquo;ll labelsearch queries with intent, medical entities (drugs/brands/conditions), and risk flags (e.g.,drug&ndash;drug interaction &rarr; clinical review). Your work directly improves accuracy and reduces thenumber of items needing human review&mdash;saving time and money.What you&rsquo;ll do&#9679; Apply annotation guidelines to tag queries with intent, entities, and conditions;normalize to approved terms (e.g., Rogaine &rarr; minoxidil).&#9679; Flag red-risk items (interactions, contraindications, diagnosis claims) for clinical review.&#9679; Perform QA passes on auto-scripts: check topic fit, disclaimers, and obvious factualmismatches (no medical advice).&#9679; Record edge cases and propose rule/prompt tweaks to improve future accuracy.&#9679; Hit daily throughput quality SLAs; maintain clean audit trails in the labeling tool.&#9679; Collaborate with SEO Lead/ML Engineer to refine examples and close guideline gaps.What you&rsquo;ve done&#9679; Detail-oriented work in content ops, moderation, customer support, medical scribing, orprior data labeling.&#9679; Able to follow structured rules precisely and give concise feedback when rules areunclear.&#9679; Comfortable reading medical terms at a basic level (we provide glossaries and training).&#9679; Bonus: experience in healthcare content, pharmacy tech, or QA.based increases.Compensation $18-$25 an hourJob Type: Full-timePay: $18.00 - $25.00 per hourExpected hours: 40 per weekBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: In person

SEO Lead/ Content Strategist

About the roleYou&rsquo;ll build the intelligence behind our automated content pipeline: expand and cluster searchtopics, extract medical entities, infer user intent, triage risk (red/green), and generate structuredoutputs that feed our auto-script templates. You&rsquo;ll own accuracy, speed, and cost per script.What you&rsquo;ll do&#9679; Design and ship the analyze(query) service: embeddings, clustering, entity/intentclassification, and risk flags.&#9679; Build/maintain entity normalization to medical ontologies (RxNorm, SNOMED-CT/ICD-10, MeSH).&#9679; Implement risk triage rules (e.g., drug-drug interactions &rarr; clinical review queue) withconfidence scoring.&#9679; Create and tune prompt chains / small models for auto-script scaffolding (hooks, VObeats, CTA, citations).&#9679; Stand up an evaluation harness (precision/recall/F1, calibration, cost/latency) and A/Btests.&#9679; Partner with SEO Lead Compliance to encode brand voice, disclaimers, and approvallogic.&#9679; Collaborate with Data Eng on feature stores, vector DBs, data quality, and retrainingschedules.&#9679; Monitor drift, errors, and red-flag rates; ship fixes fast (MLOps with versioned models).What you&rsquo;ve done&#9679; 4+ years in applied NLP/ML (production systems, not just notebooks).&#9679; Proficiency in Python, PyTorch/TF/JAX, Hugging Face, sentence-transformers,spaCy. (or similar)&#9679; Built text classifiers/NER and semantic search/embeddings in production.&#9679; Experience with vector databases (pgvector, Pinecone, Weaviate) and FastAPI/Flaskservices.&#9679; Comfortable with ML Ops basics (MLflow/Weights Biases, CI/CD, containers).&#9679; Strong grasp of evaluation (test sets, human-in-the-loop, active learning).&#9679; Bonus: healthcare NLP, RxNorm/SNOMED/ICD-10, drug-interaction/contraindicationlogic, LLM prompt engineering, distillation/LoRA.How we&rsquo;ll measure success (first 90 days)&#9679; v1 analyze() API live with &ge;0.80 F1 on high-support intents; entity normalization &ge;0.95accuracy.&#9679; Red-flag recall &ge;0.95 (we&rsquo;d rather over-catch early).&#9679; Cost/latency targets met for daily batch runs; clear, self-serve evaluation dashboard.Tech you&rsquo;ll touchPython, PyTorch, Hugging Face, sentence-transformers, spaCy, FastAPI, Postgres/pgvector orPinecone, Airflow/Prefect, MLflow/WB, Docker.Compensation $140,000 - $190,000 Per YearJob Type: Full-timePay: $140,000.00 - $190,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Will you now or in the future require sponsorship for employment visa status (e.g., H-1B) to work in the United States?</li></ul>Work Location: In person

Machine Learning Engineer

Join GHI LLC and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

GHI LLC

ABOUT_COMPANY

SEO Lead/ Content Strategist

Machine Learning Engineer