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Remote Data Labeling Analyst Jobs in Dallas, TX (NOW HIRING)

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Remote Data Labeling Analyst information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

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

As of Sep 5, 2026, the average yearly pay for remote data labeling analyst in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote data labeling analyst?

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 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 Dallas, TX?

The most popular types of Data Labeling Analyst jobs in Dallas, TX are:

What are popular job titles related to Remote Data Labeling Analyst jobs in Dallas, TX?

For Remote Data Labeling Analyst jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling Analyst jobs in Dallas, TX look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Data Labeling Analyst jobs?

Cities near Dallas, TX 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 Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,750 per year, or $39.3 per hour.

Remote Data Analyst

Jobsultant Solutions

Lewisville, TX • Remote

Full-time

Re-posted 22 days ago

Job description

Optimere a specialization in advanced analytics to extract insight from information by iterating rapidly, to summarize, visualize large data sets.

Responsibilities & Tasks

The Data Analyst will assist in our efforts to create analytical solutions for USA Smart Manufacturing Initiatives. Candidate will be responsible for data exploration, discovery, and presentation of gathered insight from such data. This role will be responsible for visualizing and communicating insight extracted from data to stakeholders at various levels across the company. This role will construct, test, maintain, architect, and conduct exploratory data analysis of supporting datasets. Experienced candidate needs proven ability to work independently on big projects. Candidate must have excellent interpersonal skills and ability to work with several stakeholders across multiple organizations. Must be very organized and detailed in development efforts.

Required Experience:

Excellent interpersonal skills and ability to work with several stakeholders across multiple organizations

Curious, creative, opinionated thinker with a talent for detecting patterns and elevating through strategy.

Ability to facilitate conversations with business SMEs to understand the problem, rapidly iterate proposed solutions, and clearly present new findings/ solutions.

Embrace and drive a culture of data-driven, continuous improvement and help identify, analyze and implement improvement opportunities

Lead level experience providing technical & functional guidance

Advanced expert in SQL.

Expert in Tableau or other visualization tools.

Solid analysis and problem-solving skills

Lover of math with solid understanding of statistical methods

Strong working knowledge of statistics and probability

Able to build analytics solutions including data exploration, extraction, cleaning, transformation, testing, and implementation.

Open to learning new tools and technologies.

Able to adapt to a fast-paced working environment

Preferred Experience

Masters Degree in Management Information Systems, Computer Science or equivalent.

Why Ericsson:

We work in an industry where new opportunities are emerging every day. And as these new opportunities emerge, we see the potential to make a difference. Across 180+ countries, we have a culture that respects and supports your ambitions, in alignment with our values of Respect, Professionalism and Perseverance.

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