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Data Labeler Remote Jobs in Colorado (NOW HIRING)

PNC Bank

Head of Sales, Linga

Arvada, CO · On-site +1

... 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 ...

Workiva, Inc.

Senior AI Product Manager

Denver, CO · 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 ...

Workiva

Senior AI Product Manager

Denver, CO · On-site +1

$129K - $170K/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 ...

All JobsData Labeler Remote JobsData Labeler Remote Jobs in Colorado

Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles. Many workers use it as a temporary job or to gain experience in data-related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often requiring consistent effort, accuracy, and familiarity with labeling tools. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized skills in data annotation. However, most remote data labeling jobs pay hourly or per task, so reaching this income level typically requires high productivity and experience.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How to make $1000 a week remote?

A remote data labeler can increase earnings by working multiple projects, improving efficiency, and gaining experience with popular tools like labeling platforms and annotation software. Earning $1000 weekly typically requires consistent full-time work, high-volume projects, or specialized skills that command higher pay rates. Building a strong reputation and seeking higher-paying opportunities can also help reach this income level.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Remote data labeling jobs often pay hourly or per project, with some roles offering additional benefits or flexible schedules.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in Colorado? The most popular types of Data Labeler jobs in Colorado are:
What are popular job titles related to Data Labeler Remote jobs in Colorado? For Data Labeler Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Colorado look for? The top searched job categories for Data Labeler Remote jobs in Colorado are:
What cities in Colorado are hiring for Data Labeler Remote jobs? Cities in Colorado with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Data Center Smart Engineer

Data Center Smart Engineer

NMK Global Inc.

Denver, CO • Remote

Other

Posted 3 days ago

Job description

Job Description – Data Center Smart Hands Engineer

Location: Denver, Colorado, USA (Englewood & Aurora Data Centers – Flexential)
Work Model: Onsite/Hybrid

Number of Positions = 4 Openings

  • Must clearly show hands-on data center work (not theoretical)

  • Prior experience in smart hands / field support roles is highly preferred

  • Verify willingness for on-call support and travel

  • ship to obtain a security clearance

Role Overview

  • We are looking for 2 Data Center Smart Hands Engineers based in Denver, Colorado, who can support data center operations by executing hands-on technical tasks under the guidance of remote Subject Matter Experts (SMEs).

  • This role is ideal for individuals with strong data center operational skills who are capable of following detailed instructions and ensuring timely execution of infrastructure-related activities.

Key Responsibilities

  • Perform rack and stack activities, including installation and decommissioning of hardware

  • Handle cabling (copper/fiber) and ensure proper connectivity and labeling

  • Configure and apply management IPs as per provided instructions

  • Execute hardware-related tasks across a wide variety of devices (servers, network, storage)

  • Act as remote hands ("smart hands") for SMEs by following detailed technical instructions

  • Troubleshoot basic infrastructure issues and escalate when required

  • Maintain proper documentation and update task completion status

  • Support data center operations and maintenance activities

  • Participate in on-call support outside regular business hours

Mandatory Skills (Strict Screening Criteria)

  • Strong hands-on experience in Data Center Operations

Proven experience in:

  • Rack & Stack

  • Structured Cabling (Fiber & Copper)

  • Hardware Installation (Servers / Network / Storage devices)

  • Applying / Configuring Management IPs

  • Ability to execute detailed instructions from remote SMEs accurately and independently

  • Willingness to work in a "Smart Hands" support model

Work Requirements

  • Availability during standard business hours (9 AM – 5 PM)

  • Willingness to participate in on-call rotation for off-hours support

  • Ability to travel domestically within the USA when required (primarily): Dallas, TX OR Michigan (GHQ)

Preferred Skills (Good to Have)

  • Exposure to enterprise Data Center providers (e.g., Flexential or similar)

Basic understanding of:

  • Networking concepts

  • Server hardware lifecycle processes

  • Experience working in remote support / guided execution environments

  • Strong communication skills for coordination with remote SMEs

Experience & Qualifications

  • 3–8 years of relevant experience in Data Center Operations / Infrastructure Support

  • Bachelor’s degree or equivalent experience in IT / Engineering (preferred but not mandatory)

  • Strong problem-solving skills and ability to work with minimal supervision

Apply