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Full Time Medical Data Annotation Jobs (NOW HIRING)

Full Time Medical Assistant

Paso Robles, CA ยท On-site

$18 - $23/hr

Full Time Medical Assistant We are seeking a reliable, detail-oriented Full Time Medical Assistant ... Strong attention to detail with accurate documentation and data entry skills * Excellent ...

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may ...

Full Time Medical Assistant

Paso Robles, CA ยท On-site

$18 - $23/hr

Full Time Medical Assistant We are seeking a reliable, detail-oriented Full Time Medical Assistant ... Strong attention to detail with accurate documentation and data entry skills * Excellent ...

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may ...

Showing results 41-60

Full Time Medical Data Annotation information

What is the difference between Full Time Medical Data Annotation vs Medical Transcriptionist?

AspectFull Time Medical Data AnnotationMedical Transcriptionist
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, transcription skills
Work EnvironmentRemote, computer-basedRemote or on-site, audio recording review
Industry UsageAI training, healthcare data labelingMedical record documentation
Search IntentData annotation jobs, AI healthcare dataMedical transcription jobs, healthcare documentation

Full Time Medical Data Annotation involves labeling and annotating medical data to train AI systems, requiring attention to detail and basic medical knowledge. Medical Transcriptionists focus on converting audio recordings into written reports, emphasizing transcription skills. While both roles support healthcare, they differ in tasks, tools, and industry applications.

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Infographic showing various Full Time Medical Data Annotation job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Product & Research Operations Manager, Human Data

San Francisco, CA โ€ข On-site

$160K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Key responsibilities

  • Design, scale, and operate Cartesia's global evaluation workforce, including managing hiring pipelines, vendor relationships, and operational workflows.

  • Build and maintain operational systems for task allocation, quality control, and performance tracking to support large-scale AI evaluation processes.

  • Partner with cross-functional teams to improve evaluator workflows, ensure data quality, and support model evaluation at scale.


Job description

About Cartesia
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
The Role
We are looking for a Product and Research Operations Manager to design, scale, and operate Cartesia's global scaled evaluation workforce. This role sits at the intersection of product operations, data operations, and vendor management, and directly impacts model quality and customer outcomes. You will own the end-to-end workforce system: hiring pipelines, vendor strategy, workforce planning, quality control, and operational performance.
You are building a production system of humans-in-the-loop for AI, translating ambiguous product needs into operational workflows and partnering across product, engineering, data, and customer-facing teams to support real-world evaluation at scale.
Your Impact
  • Design and implement workforce structure across languages, skill tiers, and use cases, including evaluators, auditors, and leads for TTS products
  • Build capacity models to support continuous eval pipelines and data production workflows
  • Own relationships with vendors such as data annotation firms and contractor platforms, negotiating rate cards, SLAs, and throughput guarantees
  • Decide on build, buy, or hybrid workforce models and continuously benchmark cost and performance across regions
  • Design multi-layer QA systems spanning self-checks, peer review, audits, and gold tasks
  • Define and track inter-rater reliability, error rates by category, and annotator-level performance distributions
  • Build escalation and retraining workflows to maintain quality at scale
  • Run day-to-day operations including task allocation, throughput tracking, and SLA adherence
  • Build systems to reduce evaluator fatigue, rotate task types, and maintain consistency across large-scale evaluations
  • Partner with tooling teams to improve evaluator UX and with data teams to ensure clean, structured outputs for model training

What You Bring
  • 6+ years in operations, workforce management, or data annotation systems
  • Experience managing large contractor or vendor-based workforces
  • Proven ability to scale operations from zero to production
  • Systems thinking with the ability to design scalable operational frameworks
  • Strong analytical skills with comfort around metrics like inter-rater reliability, precision, and throughput
  • Ability to execute quickly under ambiguity with close attention to quality and edge cases

Nice to Have
  • Experience in AI/ML data operations or evaluation pipelines
  • Background in audio, speech, or language-related workflows
  • Familiarity with QA systems and annotation tooling
  • Experience with marketplace platforms such as Upwork or Mercor
  • Exposure to multilingual operations

Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
More Details
In-office policy: We're an in-person team based out of offices in S San Francisco, GB London and I Bangalore. We love being in the office, hanging out together, and learning from each other every day.
Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way.
We support each other. We have an open & inclusive culture that's focused on giving everyone the resources they need to succeed.
Our Benefits (US Employees Only)
Compensation Competitive base salary alongside attractive equity package.
Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
Parental Leave 9 weeks paternity & 12 weeks maternity leave
401(k)
Commuter Allowance A monthly stipend to help you get to and from the office.
Flexible PTO Take as much time as you need to recharge your batteries.
Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
Your own personal Yoshi
Our Commitment to Equal Opportunity
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.