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Remote Entry Level Data Annotation Jobs in Santa Clara, CA

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

YO AI Labs

AI Finance Expert - Remote

Palo Alto, CA · 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 ...

YO AI Labs

AI Finance Expert - Remote

San Jose, CA · 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 ...

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

Video Data Annotator Remote (US) | Contractor | Get certified now, work when the project drops ... Why Get Certified Now Robotics annotation is one of the fastest-moving corners of AI training, and ...

YO AI Labs

Medical Coder - Remote

Palo Alto, CA · 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 ...

YO AI Labs

Medical Coder - Remote

San Jose, CA · 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 ...

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 ...

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 29, 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 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 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, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $49,442 per year, or $23.8 per hour.

Video Data Annotator

San Jose, CA • Remote

iMerit
5 - 10K employees
Learn more about iMeritexternal

$35/hr

Contractor

Posted 14 days ago

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Job description

Video Data Annotator

Role Type: Contractor

Location: Remote (US Only)


iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Annotate and review robotics-related video footage using detailed guidelines provided for each assignment.
  2. Assess and score video clips for data quality, relevance, and accuracy based on a predefined scoring guide.
  3. Identify and label specific actions, objects, or events within video data, ensuring comprehensive and precise annotation.
  4. Collaborate with the iMerit project team to clarify annotation standards and resolve ambiguities in the scoring process.
  5. Document annotation decisions and provide feedback on the clarity and effectiveness of guidelines.
  6. Perform ongoing quality assurance checks to verify that annotations adhere to project requirements and deliverables.
  7. Deliver annotations and evaluations consistently and within set project timeframes.


Preferred Qualifications

  1. Mid-level experience with video data annotation across various platforms or projects.
  2. Demonstrated attention to detail and commitment to producing high-quality, accurate annotations.
  3. Strong written and verbal communication skills, with the ability to document findings and interact with team members remotely.
  4. Previous experience with robotics footage or robotics-related annotation tasks (heavily preferred).
  5. Ability to interpret and apply complex annotation guidelines and scoring rubrics.
  6. Familiarity with AI review processes or quality assurance in data annotation projects.
  7. Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting.

Company Description

iMerit, an EXL Company, is a global leader in AI data solutions, trusted by the world's most innovative organizations to power mission-critical AI initiatives. Our platforms and domain expertise support companies to build accurate, reliable, and scalable AI solutions.