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Remote Data Labeling Jobs in Colorado (NOW HIRING)

Handle cabling (copper/fiber) and ensure proper connectivity and labeling * Configure and apply ... Act as remote hands ("smart hands") for SMEs by following detailed technical instructions

Facilitate the design, review, and approval of IP label text and proofs to meet specific country ... Proficiency in Microsoft applications (Word, Excel, PowerPoint, Outlook, etc.), Electronic Data ...

... white-label partners), and expansion of the existing customer base. Reporting directly to the ... Use data-driven insights to continuously optimize performance across all channels. Maintain ...

Senior AI Product Manager

Denver, CO ยท On-site +1

$130K - $171K/yr

Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Remote Data Labeling information

See Colorado salary details

$9

$32

$72

How much do remote data labeling jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote data labeling in Colorado is $32.33, according to ZipRecruiter salary data. Most workers in this role earn between $16.07 and $43.67 per hour, depending on experience, location, and employer.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Many remote data labeling jobs are paid per task or project, which can affect overall earnings, and some roles may require basic skills in data annotation tools or image/video labeling software.

How can I make 2000 a week working from home?

Remote data labeling jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the number of tasks completed. To make $2,000 weekly, you would need to consistently complete a high volume of labeled data, often requiring strong attention to detail and familiarity with labeling tools. Achieving this income level may also involve working multiple platforms or combining data labeling with other remote tasks.

How to make $1000 a week remote?

Remote data labeling jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the volume of work completed. To make $1000 weekly, you need to consistently complete a high number of labeled data sets, often requiring strong attention to detail and familiarity with labeling tools. Building a reputation and working with multiple platforms can help increase your income potential.

What are some common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

Is data labelling a good career?

Data labeling is a common entry-level role in the AI and machine learning industries, involving annotating data to train algorithms. It offers flexible schedules and requires attention to detail, but typically has lower pay and limited advancement opportunities compared to other tech roles.

What are the key skills and qualifications needed to thrive in the Remote Data Labeling position, and why are they important?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Colorado? The most popular types of Data Labeling jobs in Colorado are:
What are popular job titles related to Remote Data Labeling jobs in Colorado? For Remote Data Labeling jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Data Labeling jobs? Cities in Colorado with the most Remote Data Labeling job openings:

Data Entry Assistant / Typing - Remote

Link Up Overseas

Denver, CO โ€ข Remote

$17.25 - $23/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Data Entry Assistant / Typing - Remote

This is a work from home teleworking position. You must be able to come into the office for approximately 4 - 6 weeks of training and occasionally for additional meetings and various contract requirements. You must live within a 90 miles commuting radius of the work site.

Case Processing Support

Logging in petitions; creating and labeling case folders

Researching cases

Preparing and entering associated data in systems

Maintaining the integrity of the files within process units and file storage

Scanning documents and associating them to electronic case files

Putting case files in document order

Identifying, reporting and obtaining missing documents for cases

Mail Room Support

Receiving, sorting, opening, organizing, date stamping as appropriate, and delivering incoming mail and cases

Operating letter insertion and postage equipment

Identifying and sorting mail, petitions and files

Delivering routing sheets/file requests to the appropriate units

Requesting/receiving files from other units and delivering them to the appropriate units

Logging and delivering messages; logging petitions

Weighing, labeling; pulling and packing out-going case files

Communications Support

Logging and delivering messages; logging petitions

Inputting call questions and/or email responses into tracking system; documenting every call/email

Escalating calls to supervisors as required by procedures

Resolving caller questions promptly and efficiently

Communicating answers clearly and correctly from scripted call response plan

Referencing answers from a computer while also rapidly typing notes into a system

Intermediate Computer Skills

Good interpersonal and professional communication skills

Good attention to detail while working in a fast-paced environment

Capable of working in a multi-task environment with rapidly changing priorities

Very good command of the English Language; Spanish is a plus

Demonstrate a professional work ethic

Ability to pass a typing test of at least 40 WPM with no errors

Individuals will be required to complete a background security investigation prior to beginning employment.

Minimum Qualifications:

One (1) to two (2) years of relevant administrative experience preferred

Ability to pass a typing test of at least 35-40 WPM with no errors

Experience in an office/clerical environment is desired

Intermediate computer skills utilizing multiple monitors and active sessions

Basic use of MS Office including Excel, Word and Email

Good Interpersonal and Professional Communication Skills

Good attention to detail while working in a fast-paced environment

Capable of working in a multi-task environment with rapidly changing priorities

Very good command of the English Language; Spanish is a plus

Demonstrate a professional work ethic

Ability to pass a thorough criminal background check and credit history to obtain and maintain a government clearance