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Remote Entry Level Data Annotation Jobs (NOW HIRING)

Entry-Level Expert in Data Entry

San Antonio, TX ยท Remote

$15.50 - $20.75/hr

Join our thriving team as a Remote Entry-Level Data Entry Specialist! This role provides an amazing opportunity to advance your career while having the flexibility and convenience of working f ...

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ...

Remote Role Responsibilities * Review and correct annotations for approximately 50 golf videos ... Prior experience with sports data annotation, QA, or labeling review. * High attention to detail ...

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Remote Entry Level Data Annotation information

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

As of Jun 24, 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:
What job categories do people searching Remote Entry Level Data Annotation jobs look for? The top searched job categories for Remote Entry Level Data Annotation jobs are:
Infographic showing various Remote Entry Level Data Annotation job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Temporary. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Remote Entry Level Data Entry Jobs No Experience

The Job Place

Memphis, TX โ€ข On-site

$13.75 - $17.75/hr

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Job description

Remote Entry Level Data Entry Jobs No Experience

Memphis, TX, United States Or refer someone Job Openings Remote Entry Level Data Entry Jobs No Experience

About the Job

This is your opportunity to start a long-lasting career with endless opportunity. Find the flexibility you've been looking for by taking a moment to finish our online application. Benefits:

  • Excellent weekly pay
  • Safe work environment
  • Multiple shifts are readily available from morning to night and no experience is needed.
  • You will have sufficient opportunity for growth
  • Part-time offered - choose the days you want to work
  • A commitment to promote from within

Responsibilities:

  • Must be able to carry out duties with or without sensible accommodation
  • Perform all other duties as assigned
  • Assist in developing a positive, professional and safe workplace

Qualifications:

  • No experience, Willing to train
  • Ability to work within established turn-around times
  • Must have excellent social skills and the ability to organize simultaneous tasks
  • Ability to interpret and use company policies and procedures
  • Excellent verbal and written communication skills
  • Ability to work both individually and within a group environment
  • Ability to remain organized, give attention to detail, follow directions and multi-task in a professional and effective manner

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