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Remote Data Labeling Analyst Jobs in Texas (NOW HIRING)

Lockheed Martin

Data Analyst -Level 2

Fort Worth, TX · On-site +1

The Performance Data Analytics and Management team in Fort Worth, TX is seeking a full-time Data ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

Canadian Solar

Production Data Analyst

Mesquite, TX · On-site +1

Specialist I, Production Data Analyst Company Overview: Canadian Solar is a global leader in the ... Flexible working hours and potential for remote work depending on the company policy ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

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Remote Data Labeling Analyst information

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 Texas? The most popular types of Data Labeling Analyst jobs in Texas are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Texas? For Remote Data Labeling Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Texas look for? The top searched job categories for Remote Data Labeling Analyst jobs in Texas are:
What cities in Texas are hiring for Remote Data Labeling Analyst jobs? Cities in Texas 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 Texas as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Entry-Level Data Analyst / Business Analyst (Remote)

National Software Management

Dallas, TX • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

Company Description
National Software Managment an software Development company of USA is focused on developing a comprehensive workplace that utilizes the unique expertise and viewpoints of our worldwide staff. We appreciate the exclusive qualifications, expertise and ability of each worker and accept variations which include gender, kind, faith, incapability, nationality, age group, physical inclination, ethnic background and exclusive style. Being a multinational firm, we know, treasure and regard the distinctiveness of our staff and promote a collaborative work setting with equal potential for all staff members.
Job Description
Kickstart Your Career in Data & Business Analysis - No Sponsorship Required!
We are looking for a motivated Entry-Level Data Analyst / Business Analyst to join our remote team. This role is perfect for graduates, career gap, early-career professionals, or career switchers who want to gain hands-on experience analyzing data, documenting business processes, and supporting real-world projects
Key Responsibilities
  • Collect, clean, and analyze data to identify trends, patterns, and business insights
  • Support business teams by documenting requirements, workflows, and process maps
  • Create reports, dashboards, and presentations using Excel, Power BI, or Tableau
  • Assist in User Acceptance Testing and track issues and resolutions
  • Maintain organized documentation and knowledge repositories
  • Collaborate with cross-functional teams to support process improvement initiatives

Required Qualifications
  • Bachelor's degree any field
  • 0-1 years of experience (internships, projects, or training programs are acceptable)
  • Strong communication and presentation skills

Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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