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Remote Data Labeling Jobs in California (NOW HIRING)

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

Build and maintain the data pipeline infrastructure that consolidates internal infra, labeling ... hybrid or remote role with periodic trips to HQ in Mountain View, CA. Must Haves * 2-3 years ...

Booz Allen Hamilton, Inc.

Network Engineer, Mid

San Diego, CA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

... data centers, campuses, tactical environments, and remote locations. As technology continues to ... Label Switching (MPLS), Label Distribution Protocol (LDP), Virtual Private LAN Service (VPLS ...

Workila

Full Stack Engineer

San Francisco, CA · On-site +1

Strong background with data structures and algorithms (CS/Mathematics deg) NICE-TO-HAVES * 1+ year ... Remote work not available TRAVEL Travel not required VISA Candidate visas are not supported ...

UMT - Internal

Director, UX

San Francisco, CA · On-site +1

  • Retirement

... Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success. This role is based in SanFrancisco with four days in-office and one day remote.

UnitedMasters | Translation

Director, UX

San Francisco, CA · On-site +1

  • Retirement

... Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success. This role is based in SanFrancisco with four days in-office and one day remote.

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All JobsData Labeling JobsRemote Data Labeling JobsRemote Data Labeling Jobs in California

Remote Data Labeling information

See California salary details

$10

$33

$75

How much do remote data labeling jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote data labeling in California is $33.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.71 and $45.43 per hour, depending on experience, location, and employer.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

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

The most popular types of Data Labeling jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Data Labeling jobs?

Cities in California with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $69,956 per year, or $33.6 per hour.

Human Factors Engineer/Usability Engineering - Biopharma Medical Device Remote (JP15469)

3 Key Consulting

Thousand Oaks, CA • Remote

$74 - $84/hr

Full-time

Re-posted 28 days ago

Job description

Job Title: Human Factors Engineer/Usability Engineering - Biopharma Medical Device Remote (JP15469)
Location: Thousand Oaks, CA 91320
Business Unit: Human Factors / Usability Engineering
Employment Type:  Contract
Duration: 1+ years with likely extensions and/or conversion to permanent
Posting Date: 08/18/2025
Target start date: 6/15/2026
Pay Rate: $74-84/hr W2 with benefits
Note: This can be fully remote but local to Thousand Oaks, Ca is preferred.
3 Key Consulting is hiring a Human Factors Engineer for a consulting engagement with our direct client, a leading global biopharmaceutical company.
What you will do:
In this vital role you are responsible for supporting HFE/UE planning, research, development and continuous improvement of client’s drug delivery devices using HFE/UE best practices and in accordance with current regulations and guidelines within the medical device, combination product and bio-pharmaceutical industries. The Human Factors Engineer / Usability Engineer (HFE/UE) is expected to collaborate with internal and external partners and across functions including engineering, design, commercial, safety, risk, quality, regulatory and market surveillance teams. This person will support human factors research driving innovative, intuitive, and useful products. The HFE will support project study design, HFE/UE methodology, study moderation, data collection, and root cause analysis to inform design and apply sound HFE/UE knowledge and experience to research, development, clinical studies, and product validation in support of regulatory submissions. 
Responsibilities:
The HFE/UE responsibilities include but are not limited to:
  • Work collaboratively with HFE/UE, engineering, design, commercial, and product teams to ensure successful translation of user requirements into products, to create user interface (UI) requirements, that meet the needs of users and enrich the overall user experience across client’s portfolio or programs.
  • Supporting usability activities such as study planning/coordination/management, protocol development, study moderation, data collection, material development, IRB submissions, participant recruitment, data analysis, and HFE/UE design history file documentation to support project needs.
  • Collaborate with the HFE/UE lead to ensure Human-system capabilities and limitations are properly reflected in the system requirements, and HFE/UE input is provided across functions to develop product design, packaging, labeling, and training requirements.  
  • Support appropriate human factors and usability engineering activities to improve the design of products, specifically the device-user interfaces, including the device, packaging, labeling, and instructions for use while minimizing the potential for use errors. 
  • Analyze objective and subjective data from usability studies to inform design, inform risk minimization, and provide alternative design controls/solutions.
  • Support the HFE/UE lead in providing preparation for clinical studies and regulatory submissions in accordance with HFE/UE best practices, guidance and standards.
  • Prepare documentation to support development activities, design controls, DHF, DMR including protocols, task analysis, risk assessment, HFE/UE technical assessments, comparative analysis, HFE/UE reports, data verifications, and regulatory submissions.
  • Actively communicate with internal and external key stakeholders. Exercising critical thinking & educated HFE/UE judgement to determine appropriate next steps/actions.
 
Top Must Have Skills:
1. End to end human factors experience required from planning to validation and reporting
2. Must be able to demonstrate good technical writing skills
3. Good communicate skills and experience working with cross functional teams
4. Minimum experience needed with medical device but most importantly combination product experience
Preferred Qualifications: -
  • Master's degree in Human Factors, HFE/Usability Engineering, or other relevant HF/Engineering discipline and 2+ years of industry experience, working in multi-functional, fast-paced corporate environments.
  • Experience with various HF methodologies such as ethnographic research, interviews, contextual inquiries, focus groups, technical assessments, device UI evaluation, knowledge and comprehension studies, HF professional analysis, task analysis, hazard analysis, risk assessment, formative and summative studies.
  • Experience working directly with users to gather, synthesize and convert user research into concepts that differentiate products in the market, as well as to develop and evaluate new product features, user interfaces and ergonomic designs.
  • Experience using low and high-fidelity prototypes to identify and eliminate potential use errors early in the development process.
  • Experience working in development organizations, particularly virtual development environments contributing to systems design, verification, and validation milestones.
  • Ability to communicate effectively with mechanical, electrical, software, clinical, regulatory, safety, risk, and quality engineering disciplines.
  • The position requires good oral and written communication and organizational skills, technical problem solving, the ability to work in teams, critical thinking, the ability to adapt to a rapidly changing environment, and desire to contribute to meaningful and innovative products.
  • Functional knowledge and experience in the practical application of relevant FDA human factors guidance, regulations and standards, including IEC 62366, AAMI HE75, EN 60601, ISO 14971, MDR, and design controls.

Day to day responsibilities:
Support core development team(s) on all human factors activities, including attending remote meetings, communicating status to manager on all program requests, developing and recommending HFE strategies, and creating and approving HFE documents within Client's document management system.
Red Flags:
No direct experience leading HFE activities for combination product delivery devices. Only has academic research experience. A pattern of changing jobs every year. No medical device or pharmaceutical industry experience.
Interview process:
Candidate has a 25 minute phone interview with hiring manager. Candidate sends HFE writing example (redacted) to hiring manager. Candidate has a 50 minute panel interview. Candidate CV and panel interview results reviewed with senior leadership team. Decision to hire.
We invite qualified candidates to send your resume to resumes@3keyconsulting.com.  If you decide that you’re not interested in pursuing this particular position, please feel free to take a look at the other positions on our website www.3keyconsulting.com/careers. You are also welcome to share this opportunity with anyone you think might be interested in applying for this role.