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Remote Entry Level Data Annotation Jobs in Oakland, CA

AI Finance Expert - Remote

Palo Alto, CA ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

AI Finance Expert - Remote

San Jose, CA ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Medical Coder - Remote

San Jose, CA ยท Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

Medical Coder - Remote

Palo Alto, CA ยท Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

Medical Coder - Remote

San Francisco, CA ยท Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

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Remote Entry Level Data Annotation information

See Oakland, CA salary details

$13

$23

$36

How much do remote entry level data annotation jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote entry level data annotation in Oakland, CA is $23.24, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $25.14 per hour, depending on experience, location, and employer.

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

What are the key skills and qualifications needed to thrive as a remote entry level data annotation?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by remote entry level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are popular job titles related to Remote Entry Level Data Annotation jobs in Oakland, CA?

For Remote Entry Level Data Annotation jobs in Oakland, CA, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Annotation jobs in Oakland, CA look for?

The top searched job categories for Remote Entry Level Data Annotation jobs in Oakland, CA are:

What cities near Oakland, CA are hiring for Remote Entry Level Data Annotation jobs?

Cities near Oakland, CA with the most Remote Entry Level Data Annotation job openings:

Infographic showing various Remote Entry Level Data Annotation job openings in Oakland, CA as of August 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 7% Hybrid, and 93% Remote job distribution, with an average salary of $48,349 per year, or $23.2 per hour.

Network Engineer - Data Annotation

Mercor

San Francisco, CA โ€ข Remote

$50 - $70/hr

Full-time

Posted 10 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: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: 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 network behaviors, issues, anomalies, and incident patterns.
  • Help define schemas and structure for large-scale data pipelines that downstream ML models will train on.
  • Collaborate with client teams to ensure data accuracy and relevance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Experience as a Level 3 / Tier 3 / Principal Support Engineer with on-call rotation, RCAs, and final escalations.
  • Hands-on experience with end-customer enterprise networks, including switches, APs, and firewalls.
  • Proficiency in Wi-Fi/wireless technologies, including Cisco WLC, Aruba, Meraki, 802.1X/RADIUS, and wireless troubleshooting.
  • Ability to perform packet-level troubleshooting with Wireshark, tcpdump, and SPAN captures.
  • Authorization to work in the US or Canada without sponsorship.

Compensation & Legal

  • 1099 contract paid to a personal account.

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.