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Full Time Online Data Annotation Jobs in Raleigh, NC

Eurest

COOK (FULL TIME)

Cary, NC · On-site

$24/hr

Verizon - 7000 Weston Parkway, Cary, NC 27513 Note: online applications accepted only. * Schedule ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

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Full Time Online Data Annotation information

Is it hard to get hired for data annotation?

Getting hired for a full-time online data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many companies offer entry-level positions with minimal experience needed, making the process accessible for beginners. Competition can vary depending on the platform and job requirements, but consistent application and skill development improve chances of employment.

What are the key skills and qualifications needed to thrive as a Full Time Online Data Annotation Specialist, and why are they important?

To thrive as a Full Time Online Data Annotation Specialist, you need strong attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with data annotation tools, cloud-based platforms, and sometimes knowledge of scripting languages like Python is commonly required. Strong communication, time management, and the ability to work independently help individuals excel in this remote role. These skills ensure accurate, high-quality data labeling that is crucial for training effective machine learning models.

How much do data annotators get paid?

Data annotators working full-time typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some roles may offer fixed salaries or project-based pay, and familiarity with annotation tools can improve earning potential.

What is the difference between Full Time Online Data Annotation vs Data Labeling Specialist?

AspectFull Time Online Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, online platform-basedRemote or in-office, often on specific projects
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentFull Time Online Data Annotation vs Data Labeling Specialist

Full Time Online Data Annotation involves ongoing, remote work focused on labeling data for AI training, often with a full-time schedule. Data Labeling Specialists may perform similar tasks but can work part-time or on specific projects. Both roles require attention to detail and basic technical skills, but Full Time Online Data Annotation typically offers more stability and consistent hours.

What are some common challenges faced by full-time online data annotators, and how can they be managed effectively?

Full-time online data annotators often encounter challenges such as maintaining focus during repetitive tasks, managing high volumes of data, and ensuring consistency in labeling. To address these, it's important to take regular breaks, utilize productivity tools, and follow detailed annotation guidelines closely. Many organizations provide quality checks and feedback, which can help annotators improve accuracy and efficiency over time. Additionally, collaborating with team leads or peers can offer support and clarify any uncertainties regarding complex data.

How hard is it to get hired by data annotation?

Getting hired for a full-time online data annotation role generally requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and do not require prior experience, but strong accuracy and consistency are important for selection. The application process often involves completing a skills test or sample annotation task.

How to make $25 dollars an hour online?

Full Time Online Data Annotation jobs typically pay between $10 and $20 per hour, but experienced annotators with specialized skills or certifications can earn up to $25 or more. Increasing your earning potential involves gaining expertise in specific annotation tools, maintaining high accuracy, and working consistently on high-paying projects or platforms that offer better rates.

Does data annotation actually pay?

Full time online data annotation jobs typically pay hourly or per task rates, with wages varying based on experience, complexity of annotations, and platform. Many companies offer competitive pay, and some roles require basic skills in data labeling tools or software. Payment is usually processed regularly through direct deposit or online payment systems.

Can you actually make money on data annotation?

Full time online data annotation jobs typically pay hourly or per task rates, and earnings depend on the volume of work completed and the company's pay structure. While it can provide a steady income, it usually does not generate high wages and may require consistent effort and accuracy. Skills in attention to detail and familiarity with annotation tools can improve earning potential.

Can I do data annotation with no experience?

Full Time Online Data Annotation jobs often do not require prior experience, as training is typically provided to help new workers learn annotation tools and standards. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some roles may prefer or require familiarity with specific data types or annotation software.

What is a Full Time Online Data Annotation job?

A Full Time Online Data Annotation job involves labeling, tagging, or categorizing data such as images, audio, video, or text to help train artificial intelligence (AI) models. Data annotators work remotely, often using specialized software platforms to accurately mark data according to specific guidelines. This role is essential for improving the accuracy and performance of machine learning algorithms in various industries, including technology, healthcare, and autonomous vehicles. Full-time positions typically require consistent hours and may offer benefits depending on the employer. Attention to detail and the ability to follow instructions are crucial skills for success in this job.

Are data annotations still hiring?

Full-time online data annotation jobs are currently available, with demand driven by AI and machine learning development. These roles often require attention to detail and familiarity with annotation tools, and they can offer flexible schedules. Job availability can vary by platform and industry needs, so checking current listings is recommended.
What are the most commonly searched types of Online Data Annotation jobs in Raleigh, NC? The most popular types of Online Data Annotation jobs in Raleigh, NC are:
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Full Time Online Data Annotation jobs near you
Infographic showing various Full Time Online Data Annotation job openings in Raleigh, NC as of July 2026, with employment types broken down into 2% Locum Tenens, 36% Full Time, 25% Part Time, 1% Contract, 35% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
Data Discovery and Enrichment Expert I - Hybrid or Remote

Data Discovery and Enrichment Expert I - Hybrid or Remote

RELX

Raleigh, NC • On-site, Remote

$65K - $108K/yr

Full-time

Medical, Life, Retirement

Posted 7 days ago

Job description

Are you a legal professional interested in building the future of legal technology?

Do you want to use your legal background in an exciting alternative legal career?

Join us in shaping a more just world.

About Us

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

About the Role

This is a full-time role working within the Data Discovery and Enrichment Organization at LexisNexis. As a Data Discovery and Enrichment Expert I, you will learn best practices for creating training data and evaluating output of AI models. You will use your expertise in the legal domain to create basic insights and recommendations from these tasks that are critical to creating the best features and products for our customers. You will start by supporting members of the team on simpler projects and grow to support on more complex projects.

About the Data Discovery and Enrichment Organization

Data Discovery and Enrichment Experts are subject matter experts in the legal domain, playing a key role in leading the transformation of legal technology. They partner with data scientists, data engineers, and product managers to create cutting-edge artificial intelligence solutions with legal data. Data Discovery and Enrichment Experts provide annotation, evaluation, and feedback to their partners which are critical to the development of these solutions.Examples of the innovative AI initiatives that the Data Discovery and Enrichment Organization works on can be found here: https://www.lexisnexis.com/en-us/about-us/legal-ai-tools.page

Responsibilities

  • Performing legal research and analysis
  • Communicating actionable feedback and insights
  • Learning best practices in the creation and maintenance of training data and relevance evaluations
  • Providing support to Leads and Senior Data Discovery and Enrichment Experts
  • Participating in presentations to internal stakeholders
  • Advocating for Responsible AI

Requirements

  • Have a Juris Doctor (JD) degree
  • Have minimal professional legal experience
  • Be competent in legal research and writing
  • Be a natural problem solver
  • Have a customer-centric mindset
  • Be able to collaborate with your team to advance projects
  • Have an interest in machine learning and natural language processing technologies
  • Be proficient in using Excel, PowerPoint, and other similar programs
  • Have working knowledge or understanding of agile and lean methodologies

Work in a way that works for you

We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees.

Working with Us

LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal-opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

Working for you

We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Comprehensive, multi-carrier health plan benefits
  • Disability insurance
  • Dependent care and commuter spending accounts
  • Life and accident insurance
  • Retirement benefits (salary investment plan/employer stock purchase plan) -
  • Modern family benefits, including adoption and surrogacy

About our Team

LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

U.S. National Base Pay Range: $65,100 - $108,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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