ZipRecruiter

Log In

2

Home Based Remote Annotation Jobs in California (NOW HIRING)

Circadia Health

Tele Nurse Practitioner

Orange, CA · On-site +1

$120K - $140K/yr

The Role Transform home-based care-from wherever you are. As Circadia's full-time tele visit NP , you'll conduct remote assessments for home health patients, act on predictive health signals in real ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

Continuously improve sourcing strategies based on data; identify which channels produce the best ... annotation -- delivering the datasets that frontier AI research requires and remote workforce ...

Mercor

Bilingual Language Model Evaluator

San Francisco, CA · Remote

$15 - $20/hr

Remote Role Responsibilities * Conduct fact-checking using trusted public sources and external ... Prior experience with RLHF, model evaluation, or data annotation work . * Experience writing or ...

New

Apply Early

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

CHI Health at Home

Diagnostic Radiologist

Santa Cruz, CA · On-site +1

$500K - $600K/yr

S. & from clinics and hospitals to home-based care and virtual care services CommonSpirit is ... This position offers a flexible schedule, with options for fully remote or hybrid work, allowing ...

Circadia Health

Telehealth Nurse Practitioner

Anaheim, CA · Remote

$40 - $60/hr

Weekend remote patient care: Conduct follow-up and urgent telehealth assessments on flagged ... Lead a high-impact program that advances proactive home-based care--own your outcomes. * Tools that ...

Apply Early

next page

Showing results 1-20

All JobsHome Based Remote Annotation JobsHome Based Remote Annotation Jobs in California

Home Based Remote Annotation information

What are some common challenges faced by home-based remote annotation professionals, and how can they be addressed?

One of the most common challenges in home-based remote annotation roles is maintaining focus and accuracy over long periods, especially when working on repetitive tasks. Distractions at home and lack of immediate support from colleagues can also impact productivity. To address these challenges, it's helpful to establish a dedicated workspace, set regular work hours, and take scheduled breaks to reduce fatigue. Utilizing communication tools to stay connected with team members and seeking feedback can further enhance performance and ensure high-quality annotations.

What is the difference between Home Based Remote Annotation vs Data Labeler?

AspectHome Based Remote AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic skills, sometimes specific software knowledge
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for training AI modelsLabeling data for machine learning

Home Based Remote Annotation and Data Labeler roles are similar, both involve data preparation for AI training from a remote location. The main difference lies in terminology; 'Home Based Remote Annotation' emphasizes the annotation process, while 'Data Labeler' is a broader term. Both roles require basic skills and are used in similar industries, making them often interchangeable in job searches.

What are the key skills and qualifications needed to thrive as a Home Based Remote Annotation Specialist, and why are they important?

To thrive as a Home Based Remote Annotation Specialist, you need strong attention to detail, data entry accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes knowledge of programming languages like Python is valuable. Excellent time management, self-motivation, and effective written communication are crucial soft skills in this remote role. These skills ensure high-quality, consistent data labeling that supports the development of reliable machine learning models.

What is a Home Based Remote Annotation job?

A Home Based Remote Annotation job involves labeling or tagging data—such as images, text, audio, or video—from your own home using a computer. Annotation is crucial for training artificial intelligence and machine learning models, as these systems require large volumes of accurately labeled data to learn and improve. People in this role typically follow specific guidelines to ensure high-quality, consistent results. Tasks can include drawing bounding boxes, transcribing audio, or categorizing information. This work is popular for its flexibility and the ability to work from anywhere with an internet connection.
What are popular job titles related to Home Based Remote Annotation jobs in California? For Home Based Remote Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Home Based Remote Annotation jobs in California look for? The top searched job categories for Home Based Remote Annotation jobs in California are:
What cities in California are hiring for Home Based Remote Annotation jobs? Cities in California with the most Home Based Remote Annotation job openings:
Home Based Remote Annotation jobs near you
Data Science Specialist - Fully Remote

Data Science Specialist - Fully Remote

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 19 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: Data Science Experts
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
  • Design challenging data science tasks and write accurate, well-structured analytical solutions.
  • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
  • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

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.