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Remote Data Labeling Analyst Jobs in Atlanta, GA

Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ... Neo4j data analysis. Experience with SQL Strong programming skills in Python or Java Excellent ...

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Atlanta, GA, Remote Duration : 6 to 12 Months Contract to Hire The client is not willing to sponsor; we need visa independent candidates who can work for any employer, like USC & GC. This is a remote ...

Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ... Experience with Neo4j data analysis. Experience with both SQL and graph databases. Strong ...

Data Analytics Analyst II

Atlanta, GA · 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 ...

Remote/Hybrid - USA Reports to: Manager, Contract and Data Management Department Name: Strategic Sourcing/Supply Chain Position Type : Full Time, Exempt Position Summary The Data Management Analyst ...

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Remote Data Labeling Analyst information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

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

As of Jul 26, 2026, the average yearly pay for remote data labeling analyst in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 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 the most commonly searched types of Data Labeling Analyst jobs in Atlanta, GA? The most popular types of Data Labeling Analyst jobs in Atlanta, GA are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Atlanta, GA? For Remote Data Labeling Analyst jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Atlanta, GA look for? The top searched job categories for Remote Data Labeling Analyst jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Data Labeling Analyst jobs? Cities near Atlanta, GA with the most Remote Data Labeling Analyst job openings:
Infographic showing various Remote Data Labeling Analyst job openings in Atlanta, GA as of July 2026, with employment types broken down into 68% Full Time, 8% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.
Data Entry Operator - Clerk / Typing Remote

Data Entry Operator - Clerk / Typing Remote

R2 Technologies Corporation

Alpharetta, GA • On-site, Remote

$16.50 - $22.25/hr

Full-time

Posted 24 days ago


Job description

Overview:
Position Summary
The Remote Data Entry Operator / Clerk plays a pivotal role in ensuring the accuracy and efficiency of our data management processes. This position is exclusively available to candidates residing in the United States and offers the opportunity to work remotely.
Responsibilities:
• Entering customer and account data from source documents.
• Data Entry and Data Managing on the system (Excel).
• Transfers information from paper formats into computer files using keyboards, data recorders, or optical scanners.
• Performs high-volume data entry using word processing, spreadsheet, database, or other computer software.
• Collate, organize, and capture data into digital databases.
• Compiling, verifying the accuracy, and sorting information to prepare source data.
• Computer Fundamentals, MS Office (MS Word and MS Excel,)
• Info / Data collection from different websites or sources and entry in the given template
• Assist to Sales/Marketing team for various supports
• Any other task assigned by the management
Job Requirements:
• High school diploma or equivalent
• Proven track record in data entry or a related field
• Proficient typing skills with a strong focus on accuracy
• Exceptional attention to detail and organizational capabilities
• Proficiency in Microsoft Office and data entry software
• Ability to work independently, prioritize tasks, and meet deadlines
• Strong verbal and written communication skills
• Previous experience in eye care or healthcare data entry is advantageous
Skills:
Data Analysis,MS-DOS