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Remote Data Labelling Jobs in California (NOW HIRING)

Telecom Network Expert - AI

San Francisco, CA ยท Remote

$1.1K - $1.4K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to network ... Annotate, label, and validate data across telecom use cases, ensuring accuracy in network topology ...

Information Security Analyst

San Francisco, CA ยท 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 ...

Security Analyst

San Francisco, CA ยท 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 ...

Senior Security Analyst

San Francisco, CA ยท 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 ...

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 ...

... 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.

... 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.

Research Engineer - Evals

San Francisco, CA ยท On-site +1

$160K - $240K/yr

N/A for Remote About Firecrawl Firecrawl is the easiest way to extract data from the web ... Ground truth doesn't come for free - you'll design the collection and labeling systems too. Own LLM ...

Identifies and labels specific nutrition diagnosis(es) derived from the assessment data.Prioritizes ... May provide on-call coverage, and/or perform work that requires remote access and/or telecommuting.

Identifies and labels specific nutrition diagnosis(es) derived from the assessment data.Prioritizes ... May provide on-call coverage, and/or perform work that requires remote access and/or telecommuting.

SVP, Consumer Digital Product

San Diego, CA ยท On-site +1

$190K - $250K/yr

Remote or Hybrid is not available. The SVP, Consumer Digital Product at Axos is a senior executive ... The Head of Consumer Digital Product drives innovation, harnesses technology and data, and leads ...

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Showing results 1-20

Remote Data Labelling information

What are the key skills and qualifications needed to thrive in the Remote Data Labelling position, and why are they important?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a Remote Data Labelling job?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the most commonly searched types of Data Labelling jobs in California? The most popular types of Data Labelling jobs in California are:
What cities in California are hiring for Remote Data Labelling jobs? Cities in California with the most Remote Data Labelling job openings:
Infographic showing various Remote Data Labelling job openings in California as of June 2026, with employment types broken down into 3% Internship, 19% Full Time, 4% Part Time, 1% Temporary, 65% Contract, and 8% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Telecom Network Expert - AI

Telecom Network Expert - AI

Mercor

San Francisco, CA โ€ข Remote

$1.1K - $1.4K/wk

Full-time

Posted 14 hours 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: Telecommunications Expert
Type: Contract
Compensation: $1,150โ€“$1,450 per completed task
Location: Remote

Role Responsibilities

  • Review and evaluate AI-generated outputs related to network architecture design, telecom operations workflows, and communications technology analysis.
  • Create realistic scenarios based on telecommunications workflows such as network provisioning, fault management, and spectrum allocation decisions.
  • Annotate, label, and validate data across telecom use cases, ensuring accuracy in network topology, QoS parameter recommendations, and regulatory compliance.
  • Provide structured feedback on AI accuracy in areas like telecom standards and protocols (e.g., 3GPP, IEEE 802.11, SIP).
  • Collaborate asynchronously with research teams to refine evaluation frameworks for telecommunications AI.

Qualifications

Must-Have

  • 3+ years of professional experience in telecommunications at a carrier, MVNO, ISP, equipment vendor, or enterprise communications organization.
  • Background in areas such as wireless/cellular networks, wireline/broadband infrastructure, or network operations.
  • Strong analytical thinking and ability to translate network and operations workflows into structured evaluation tasks.
  • Clear written communication and attention to detail.

Preferred

  • Professional certifications such as CCNA/CCNP, CWNA, CompTIA Network+, or TIA credentials.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality.
  • Performance Bonus: Top performers receive a weekly bonus incentive.
  • Hourly Opportunity: Top performers may transition to an hourly compensation model.

Application Process (Takes 20โ€“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.