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Remote Entry Level Data Annotation Jobs (NOW HIRING)

Remote Entry-Level Data Entry Clerk

$17.50 - $23.25/hr

Remote Entry-Level Data Entry Clerk Sacramento, California, United States Or refer someone Job Openings Remote Entry-Level Data Entry Clerk About the Job Remote Entry-Level Data Entry Clerk Job ...

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve ...

Virtual Data Entry Assistant (Part-Time)

$17.25 - $22.75/hr

Remote Entry-Level Data Entry Assistant Are you looking for an exciting opportunity to kickstart your career in data management? Do you have an eye for detail and a passion for organizing information?

Remote Entry-Level Data Entry Specialist

$17.50 - $23.25/hr

About the job Remote Entry-Level Data Entry Specialist Are you a meticulous and detail-oriented individual with a passion for data management? Are you looking for an exciting entry-level opportunity ...

Remote Data Entry Assistant - Junior

$17.25 - $22.75/hr

Remote Entry Level Data Entry Assistant** Are you a detail-oriented individual with a passion for accuracy and organization? Are you looking to kickstart your career in a dynamic and remote work ...

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Remote Entry Level Data Annotation information

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$11

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$31

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

As of Jul 14, 2026, the average hourly pay for remote entry level data annotation in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 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 specialist, and why are they important?

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 job?

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.
More about Remote Entry Level Data Annotation jobs
What cities are hiring for Remote Entry Level Data Annotation jobs? Cities with the most Remote Entry Level Data Annotation job openings:
What are the most commonly searched types of Remote Data Annotation jobs? The most popular types of Remote Data Annotation jobs are:
What states have the most Remote Entry Level Data Annotation jobs? States with the most job openings for Remote Entry Level Data Annotation jobs include:

Remote Entry-Level Data Entry Clerk

Link Up Overseas

Remote

$17.50 - $23.25/hr

Other

Posted 21 days ago


Job description

Remote Entry-Level Data Entry Clerk

Sacramento, California, United States Or refer someone Job Openings Remote Entry-Level Data Entry Clerk

About the Job Remote Entry-Level Data Entry Clerk

Job Opening: Remote Entry-Level Data Entry Clerk

Are you a detail-oriented individual with a passion for accuracy and efficiency? Do you have a keen eye for spotting errors and enjoy organizing data to perfection? If so, we have an exciting opportunity for you to join our dynamic team as a Remote Entry-Level Data Entry Clerk!

About Us

We believe in harnessing the power of data to drive decision-making and innovation. As a leading marketing company, we are committed to delivering exceptional results to our clients through a combination of cutting-edge technology and a dedicated team of professionals. As part of our growth initiative, we are seeking talented individuals to join us in our mission to make a positive impact through data-driven solutions.

Responsibilities
  • Accurately input and update data into our system, ensuring error-free records.
  • Conduct regular data quality checks to identify and resolve discrepancies promptly.
  • Collaborate with other team members to streamline data entry processes and enhance overall efficiency.
  • Maintain confidentiality and integrity of sensitive information.
  • Meet assigned daily, weekly, and monthly data entry targets.
  • Participate in training programs to stay up-to-date with the latest tools and techniques.
Qualifications
  • High school diploma or equivalent educational background.
  • Excellent attention to detail and strong organizational skills.
  • Proficiency in typing and data entry operations.
  • Basic computer literacy, including familiarity with spreadsheets and word processing software.
  • Strong communication skills and the ability to work effectively as part of a remote team.
  • Adaptability and a positive attitude towards learning and taking on new challenges.
Benefits
  • Flexible work hours that allow for a healthy work-life balance.
  • Remote work opportunity, allowing you to work from the comfort of your home.
  • Comprehensive training and mentorship programs to support your professional growth.
  • A collaborative and inclusive work environment where your contributions are valued.
  • Opportunities for career advancement within the company as you gain experience and expertise.
  • Competitive compensation package with performance-based incentives.
How To Apply

If you're ready to kickstart your career in the exciting world of data entry, we want to hear from you! Please submit your updated resume and a brief cover letter detailing your interest in the position and why you believe you'd be a great fit for our team. Our hiring team will review applications on a rolling basis, so don't wait too long to apply!

We celebrate diversity and are an equal opportunity employer. We encourage individuals from all backgrounds to apply for this role. Join us on our journey to unlock the power of data and make a difference in the marketing landscape.