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Data Labeler Remote Jobs in California (NOW HIRING)

Alignerr

Retail Trader AI Training

San Francisco, CA · Remote

$30 - $45/hr

Category and label data with consistency. * Help refine AI models' reasoning about equities, ETFs ... This is a fully remote contract role with flexible hours, where you'll directly impact how frontier ...

Mercor

Security Analyst - Fully Remote

San Francisco, CA · Remote

$1.7K - $2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Network Support Engineer

San Francisco, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify key behaviors ...

Mercor

Network Engineer

San Francisco, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify key behaviors ...

Mercor

Network System Engineer

San Francisco, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify key behaviors ...

Planet

Visiting Staff Scientist

San Francisco, CA · On-site +1

You will collaborate with a multi-disciplinary team of "Planeteers" across space operations, data ... Use embeddings to design active learning workflows that prioritize labeling and reduce the ...

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Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles. Many workers use it as a temporary job or to gain experience in data-related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often requiring consistent effort, accuracy, and familiarity with labeling tools. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized skills in data annotation. However, most remote data labeling jobs pay hourly or per task, so reaching this income level typically requires high productivity and experience.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How to make $1000 a week remote?

A remote data labeler can increase earnings by working multiple projects, improving efficiency, and gaining experience with popular tools like labeling platforms and annotation software. Earning $1000 weekly typically requires consistent full-time work, high-volume projects, or specialized skills that command higher pay rates. Building a strong reputation and seeking higher-paying opportunities can also help reach this income level.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Remote data labeling jobs often pay hourly or per project, with some roles offering additional benefits or flexible schedules.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in California? The most popular types of Data Labeler jobs in California are:
What are popular job titles related to Data Labeler Remote jobs in California? For Data Labeler Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in California look for? The top searched job categories for Data Labeler Remote jobs in California are:
What cities in California are hiring for Data Labeler Remote jobs? Cities in California with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Human Factors Engineer, Biopharma Medical Device - Remote (JP14424)

Human Factors Engineer, Biopharma Medical Device - Remote (JP14424)

3 Key Consulting

Thousand Oaks, CA • Remote

$70 - $80/hr

Other

Posted 2 days ago

Job description

Job Title:Human Factors Engineer, Biopharma Medical Device - Remote (JP14424)
Location:Thousand Oaks, CA 91320
Employment Type: Contract
Duration:1+ years with likely extensions and/or conversion to permanent
Posting Date:08/18/2025
Target start date:9/15/2025
Pay Rate:$70-80/hr W2 with benefits, or open to market rate DOE.
Note: This can be fully remote but local to Thousand Oaks, Ca is preferred.
3 Key Consulting is hiring aHuman Factors Engineerfor a consulting engagement with our direct client, a leading global biopharmaceutical company.
Ideal Candidate: 7-10 years of practical human factors experience in medical devices or combination products. Hands-on implementation experience required.
Nice to Have: Experience with auto-injectors, human factors validation, and engagement with the FDA or global regulatory bodies.
Job Description:
Seeking a results-driven and experienced Human Factors / Usability Engineer (HF/UE) contractor to support the Human Factors Engineering (HFE) team within the broader Combination Product Optimization (CPO) function. This role is critical in ensuring company drug delivery systems and combination products meet the highest standards of usability, safety, and regulatory compliance.
This individual contributor will play a hands-on role across the product lifecycle, from early-stage user research through design input, usability testing, and preparation for FDA and global regulatory submissions. The ideal candidate will thrive in a fast-paced, matrixed environment and bring deep domain expertise in medical devices, combination products, and FDA-regulated usability engineering.
Responsibilities:
  • Human-Centered Design Integration: Partner cross-functionally with engineering, design, commercial, clinical, regulatory, and quality teams to translate user needs into product design, including user interface (UI) requirements, labeling, packaging, and instructions for use.
  • Usability Research Execution: Lead or support usability activities such as study design, protocol development, IRB submission, participant recruitment, data collection, moderation, analysis, and reporting for formative and summative studies.
  • Use Risk Mitigation: Conduct comprehensive task analyses, root cause investigations, and use-related risk analyses to inform product design and identify use-related risks.
  • Cross-Functional Influence: Serve as a key liaison between HFE and program team functional stakeholders to ensure human capabilities and limitations are reflected in product architecture and usability requirements, and human factors activities are considered at all stages of the product design lifecycle.
  • Regulatory Readiness: Support the creation of HF documentation for regulatory submissions including HFE protocols/reports, URRAs, and other components of the overall HF File, all in accordance with global standards and FDA guidance.
  • Stakeholder Engagement: Actively communicate and align with internal and external stakeholders to ensure user-centric solutions are embedded across development programs.

Top Must Have Skills:
  • Human Factors Engineering
  • Data Analysis
  • Technical Writing

Preferred Qualifications:
  • Advanced degree in Human Factors or Usability Engineering
  • Deep knowledge of applicable global guidance and standards:
    • FDA: 21 CFR Parts 4, 820, 210/211, Human Factors Guidance, relevant device labeling standards
    • IEC/ISO: 62366, 14971, 13485
    • Other: HE:75, EU MDR Annex 1, additional relevant international device labeling and usability engineering standards
  • Proven track record supporting both formative and summative usability studies for combination products and injectors (e.g., pens, autoinjectors, on-body delivery systems)
  • Experience with early concept evaluations, use-risk analyses, and iterative design refinement
  • Demonstrated ability to influence technical design decisions with a deep understanding of user behavior and cognitive workload
  • Technical fluency across disciplines-capable of translating human factors insights for engineering, clinical, software, and regulatory audiences
  • Experience contributing to HF sections of FDA pre-submissions, IND/IDE, NDA, BLA, and global regulatory dossiers
  • Strong communication, critical thinking, and problem-solving skills in a collaborative environment
  • Able to manage ambiguity, prioritize competing deadlines, and drive user-centered design in a global organization

Red Flags:
  • No experience in human factors engineering in the medical device or combination product space.
  • Less than 5 years of relevant experience
  • No direct human factors hands on experience

Interview process:
2 rounds of interviews
We invite qualified candidates to sendyour resume toresumes@3keyconsulting.com. Ifyou decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our websitewww.3keyconsulting.com/careers. You are also welcome to sharethis opportunity withanyone you think might be interested in applying for this role.

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