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Remote Data Labeling Analyst Jobs in Colorado (NOW HIRING)

Remote Data Entry Clerk - All Levels

CO · On-site +1

$17 - $22.75/hr

Develop and refine data management workflows for efficiency Perform complex data analysis and ... This fully remote position offers flexible hours, perfect for self-motivated individuals who excel ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

SENIOR DATA ANALYST

Denver, CO · On-site +1

$88K - $111K/yr

Senior Data Analyst Job Type: (Remote)308 East Cherry Ave Jonesboro, AR 72401 SIKKY Manufacturing is a leading manufacturer of high-quality automotive parts and accessories. With over 20 years of ...

Position Summary The SCADA Data & Reporting Analyst is responsible for developing and maintaining operational reporting solutions for the Remote Operations Control Center (ROCC). This position will ...

Annotate, categorize, or label text, audio, images, video, or other data where required. * Provide ... Generative AI Analyst - Spanish (US) * Location: Fully remote in United States with complete ...

This is a remote position with up to 25% domestic travel. This role leads team management and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

Responsible for Analyst training of communication systems. Essential Responsibilities * Supports ... Minimum of 10 years of load management experience/knowledge or electrical metering, remote data ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

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Remote Data Labeling Analyst information

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 Colorado?

The most popular types of Data Labeling Analyst jobs in Colorado are:

What cities in Colorado are hiring for Remote Data Labeling Analyst jobs?

Cities in Colorado with the most Remote Data Labeling Analyst job openings:

Infographic showing various Remote Data Labeling Analyst job openings in Colorado as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Remote Data Entry Clerk - All Levels

CO • On-site, Remote

$17 - $22.75/hr

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Job description

Position Overview:
Are you looking for a flexible, rewarding opportunity to work from the comfort of your own home? We're seeking motivated, detail-oriented individuals to join our dynamic team as Data Entry Clerk / Office Assistant. Whether you're just starting your career or bringing years of experience, this remote role offers the perfect platform to grow your skills, contribute meaningfully, and enjoy the freedom of a virtual workspace.
In this position, you'll play a vital role in ensuring our operations run smoothly by accurately inputting and managing data, supporting administrative tasks, and assisting with various office functions. No matter your skill level, we provide comprehensive training and ongoing support to help you succeed. This is more than a job, it's an opportunity to develop valuable skills, enhance your professional profile, and work in a flexible environment that adapts to your lifestyle.
Responsibilities: (All Levels)
Accurately enter, update, and maintain data within our digital systems
Assist with digital document management, including filing, scanning, and organizing files
Support administrative tasks such as email correspondence, scheduling, and customer inquiries
Manage and track office supplies and digital resources
Perform basic data verification and quality checks
Support team members with various remote administrative duties
Maintain confidentiality and security of sensitive information
Qualifications: (No Experience)
High school diploma or equivalent
Strong attention to detail and organizational skills
Good communication skills
Tech-savvy with a willingness to learn new software
Reliable, self-motivated, and able to manage time effectively
For Expert Candidates:
Develop and refine data management workflows for efficiency
Perform complex data analysis and generate detailed reports
Train and mentor new team members remotely
Coordinate cross-departmental communication and projects
Assist in implementing remote work best practices and tools
Entry-Level: 2+ Years of Relevant Experience)
2+ years of experience in remote data entry and administrative support
Advanced proficiency in MS Office, Google Workspace, and relevant software (CRM, project management tools)
Excellent organizational and multitasking abilities
Strong problem-solving skills and adaptability
Ability to work independently and lead remote projects
Benefits and Perks:
Health Insurance
Paid Time Off (PTO) and Paid Holidays
Retirement Plans
Flexible Work Arrangements
Paid Parental Leave
Professional Development & Certification Opportunities
Life and Disability Insurance
Employee Assistance Programs (EAPs)
Wellness Programs
Performance Bonuses & Incentives
Employee Discounts & Perks
An Inclusive, Safe, and Supportive Work Environment
Work Environment:
This fully remote position offers flexible hours, perfect for self-motivated individuals who excel in virtual settings. We provide comprehensive training and ongoing support to help you thrive. Join us and enjoy the freedom, flexibility, and growth opportunities of a remote career designed to fit your lifestyle.
Non-Discrimination and Equal Opportunity Statement
We are an Equal Opportunity Employer and are dedicated to fostering an inclusive environment for all individuals. We celebrate diversity and do not discriminate based on race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, marital status, or any other protected characteristic under applicable law. All qualified applicants will receive consideration for employment without regard to these factors.