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Remote Data Labeling Analyst Jobs in Raleigh, NC

The Wilson Group KW23

Data Analyst

Raleigh, NC · On-site +1

This is a remote full-time post with lots of possibilities for advancement. By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends ...

IQVIA

Data Analytics Analyst II

Durham, NC · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

Easy Recruiter

Sr Data Analyst

Raleigh, NC · On-site +1

$83K - $105K/yr

This position is 100% remote and would require working from a home office, in which candidates may ... Perform analysis on large sets of data, including employee compensation and other highly ...

Redhat

Senior AI FinOps Data Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Raleigh, NC

Remote Data Labeling Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do remote data labeling analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data labeling analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Raleigh, NC? For Remote Data Labeling Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Data Labeling Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Labeling Analyst jobs? Cities near Raleigh, NC with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 68% Full Time, 6% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Data Analyst

The Wilson Group KW23

Raleigh, NC • On-site, Remote

Full-time

Medical, PTO

Posted 9 days ago

Job description

In relation to the Contract
We have a qualified Data Analyst needed. You will be a vital member of our data team as it grows helping to convert complex data into insights guiding important corporate decisions. Your knowledge and insight are priceless; we want to leverage them by carrying out choices that strengthen our approach and results. This is a remote full-time post with lots of possibilities for advancement.

By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends, and other insights that would direct our business decisions.
Create interactive dashboards and reports to let important players grasp difficult information. See also this.
Work directly with cross-functional teams including marketing, operations, product, and leadership to offer data-driven insights enhancing strategy and decision-making.
Make that the data under analysis is accurate, whole, and consistent.
Suggest and implement modifications to data processes and systems to raise data quality and efficiency.
What You Provide for Contribution?
You have been outstanding in data analysis or in a related field for the past two years.
You should be conversant with SQL, Excel, or data visualization technologies including Tableau and Power BI. Knowing R or Python would be really helpful.
Your meticulous approach results in accurate, well-organized, consistent data every piece of which.
One's approach to problem-solving is shaped by a wish to address corporate difficulties by means of data analysis and fresh insight discovery.
Essential is the capacity to succinctly and simply communicate difficult data conclusions to stakeholders devoid of technical background.
Two strategies to increase your self-motivation and remote work capacity are by learning good time management techniques and being able to operate autonomously in a distant environment.
What We Have to Share
You are free to work from anyplace in the United States.
If you promise lifetime learning, many doors will open for you in your profession.
Your support team is helpful and encouraging, which distinguishes you; your contributions are much valued and acknowledged.
Apart from competitive salary, we provide paid vacation, health insurance, and other benefits.

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