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Flexible Remote Data Labelling Jobs in California

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Our ServiceNow AI platform brings together any AI, any data, and any workflow-- helping 85% of the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Forward Deployed Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Frontier Data Labeling Service : Specialized data labeling through Aligner, leveraging subject ... Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join ...

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Flexible Remote Data Labelling information

What is the difference between Flexible Remote Data Labelling vs Data Annotation Specialist?

AspectFlexible Remote Data LabellingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification needed
Work EnvironmentRemote, flexible hoursRemote, may have more structured schedules
Industry UsageCommon in AI/ML data preparationUsed in AI/ML, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve model accuracy

Flexible Remote Data Labelling and Data Annotation Specialist roles both involve preparing data for AI and machine learning. The main difference lies in terminology and slight variations in job scope, but both are remote, entry-level positions focused on data labeling and annotation tasks.

What are the most commonly searched types of Remote Data Labelling jobs in California?

The most popular types of Remote Data Labelling jobs in California are:

What are popular job titles related to Flexible Remote Data Labelling jobs in California?

For Flexible Remote Data Labelling jobs in California, the most frequently searched job titles are:

What job categories do people searching Flexible Remote Data Labelling jobs in California look for?

The top searched job categories for Flexible Remote Data Labelling jobs in California are:

What cities in California are hiring for Flexible Remote Data Labelling jobs?

Cities in California with the most Flexible Remote Data Labelling job openings:

Healthcare Workflow Specialist - Fully Remote | Upto $80/hr

Mercor

San Francisco, CA • Remote

$80/hr

Full-time

Re-posted 16 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Registered Nurses (Data labelling and training)
Type: Contract
Compensation: $60–$80/hour
Location: Remote

Role Responsibilities

  • Review and assess clinical documentation for accuracy, completeness, and quality.
  • Analyze healthcare workflows and recommend process improvements.
  • Interpret patient records and clinical notes to support product development.
  • Identify documentation gaps, inconsistencies, and edge cases.
  • Collaborate with product, engineering, and operations teams to refine AI-driven healthcare tools.
  • Ensure adherence to healthcare regulations, policies, and best practices.

Qualifications

Must-Have

  • Active Registered Nurse (RN) license.
  • 3–5+ years of clinical nursing experience.
  • Strong understanding of clinical documentation and healthcare workflows.
  • Experience working with EHR systems (Epic, Cerner, Meditech, etc.).
  • Excellent analytical, communication, and problem-solving skills.

Preferred

  • Experience in CDI, case management, utilization review, or quality improvement.
  • Exposure to healthcare technology, AI tools, or digital health products.
  • Ability to collaborate effectively with cross-functional teams.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.