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Remote Data Labeling Analyst Jobs in Albuquerque, NM

Booz Allen Hamilton, Inc.

Data Scientist

Albuquerque, NM · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247943 Location: Albuquerque,NM,US Share job via: Share Data ... Experience with Palantir Foundry data and analytics platform * Experience developing predictive ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

Remote Work: No Job Number: R0236266 Location: Albuquerque,NM,US Share job via: Share Data Architect The Opportunity: As organizations increasingly rely on cloud computing and advanced analytics, the ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer ... Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ...

TEKsystems

Utility GIS Analyst

Albuquerque, NM · Remote

$35 - $42/hr

Description Remote (U.S.) | Preference for candidates in the Southwest or Mountain Time Zone to ... This role requires a candidate who can quickly understand existing GIS workflows, perform data ...

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Remote Data Labeling Analyst information

See Albuquerque, NM salary details

$33K

$80.1K

$131.8K

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

As of Sep 3, 2026, the average yearly pay for remote data labeling analyst in Albuquerque, NM is $80,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 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 Albuquerque, NM?

The most popular types of Data Labeling Analyst jobs in Albuquerque, NM are:

What are popular job titles related to Remote Data Labeling Analyst jobs in Albuquerque, NM?

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

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

The top searched job categories for Remote Data Labeling Analyst jobs in Albuquerque, NM are:

Remote Data Labeling Analyst jobs near you

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Rio Rancho, NM • Remote

Full-time

Posted 15 days ago

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

Apply