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Remote Entry Level Data Annotation Jobs in Santa Clara, CA

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We believe that data-driven, safe inventory management will optimize the global physical economy ... Experience setting up annotation tooling and workflows * Background in robotics autonomy and ...

Sprinter Health

Medical Coder - Remote

Menlo Park, CA · Remote

$30/hr

You enjoy working independently in a remote setting while staying connected to a collaborative ... You see coding as more than data entry -- it's a way to translate complex clinical stories into ...

Jobot

Junior Attorney

San Jose, CA · Remote

$40 - $45/hr

100% REMOTE Contract to Hire Entry Level Attorney / Associate Attorney Needed for Growing Firm ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Jobot

Junior Attorney

Fremont, CA · Remote

$40 - $45/hr

100% REMOTE Contract to Hire Entry Level Attorney / Associate Attorney Needed for Growing Firm ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

All JobsData Annotation JobsRemote Entry Level Data Annotation JobsRemote Entry Level Data Annotation Jobs in Santa Clara, CA

Remote Entry Level Data Annotation information

See Santa Clara, CA salary details

$13

$23

$36

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

As of Aug 9, 2026, the average hourly pay for remote entry level data annotation in Santa Clara, CA is $23.77, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $25.67 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Remote Entry Level Data Annotation jobs in Santa Clara, CA? For Remote Entry Level Data Annotation jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Annotation jobs in Santa Clara, CA look for? The top searched job categories for Remote Entry Level Data Annotation jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Entry Level Data Annotation jobs? Cities near Santa Clara, CA with the most Remote Entry Level Data Annotation job openings:
Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,442 per year, or $23.8 per hour.

Virtual Sales (with training)

Fisher Organization

San Jose, CA • Remote

Full-time

Re-posted 12 days ago

Job description

Fisher Organization is the New England division of American Income Life, committed to protecting members of Labor and Credit Unions and various Associations of New England as well as working families throughout the region. Our goal is to become the premier in-home supplemental insurance company in all of New England while promoting a positive company culture.

Role Description

This is a full-time remote Entry Level Management role for Globe Life American Income Division: Fisher Organization. The Manager will be responsible for day-to-day tasks such as team management, sales and marketing, and business development. This role requires working with cross-functional teams, analyzing performance data, sharing insights, and coordinating with other divisional office stakeholders.

  • Strong leadership and interpersonal skills

  • Excellent communication, both written and verbal

  • Ability to analyze performance data and make informed decisions

  • Experience with sales and marketing is a plus

  • Ability to develop and manage a team

  • Strong problem-solving and critical thinking skills

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