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Data Annotation Tech Remote Jobs in Denver, CO (NOW HIRING)

Prim

SCADA Data & Reporting Analyst

Denver, CO · Remote

... Remote Operations Control Center (ROCC). This position will collect, analyze, automate, and ... Collaborate with Operations, Engineering, IT, Asset Management, Compliance, and vendors. Required ...

Eliassen Group

Data Analyst

Greenwood Village, CO · Remote

$60 - $70/hr

Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks experienced Data Analysts ... our technology, business advisory, and life sciences solutions. For nearly 40 years, we have ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Denver, CO · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... consulting, tech, retail, or related industries. * Extensive proficiency with advanced Excel ...

In Tandem

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ... We believe technology should strengthen relationships and make daily coordination less complicated.

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

This organization provides the technology backbone and shared data infrastructure for nonprofit ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

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All JobsData Annotation Tech JobsData Annotation Tech Remote JobsData Annotation Tech Remote Jobs in Denver, CO

Data Annotation Tech Remote information

See Denver, CO salary details

$12

$23

$35

How much do data annotation tech remote jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data annotation tech remote in Denver, CO is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $27.98 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are popular job titles related to Data Annotation Tech Remote jobs in Denver, CO?

For Data Annotation Tech Remote jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Denver, CO look for?

The top searched job categories for Data Annotation Tech Remote jobs in Denver, CO are:

What cities near Denver, CO are hiring for Data Annotation Tech Remote jobs?

Cities near Denver, CO with the most Data Annotation Tech Remote job openings:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $48,903 per year, or $23.5 per hour.

Mainly Remote to Denver Data Engineer - Staff Consultant

Datalere

Denver, CO • Remote

$90K - $140K/yr

Full-time

Re-posted 10 days ago

Job description

We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with our clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements.

This role is a mainly remote one for candidates who are relatively close to the Metro Denver area. Intermittent/occasional onsite work in Denver should be expected.

Please also note that we are somewhat stack agnostic, so those with classically defined data engineering skills (ETL Modeling and Design, Data Pipelines, Relevant Builds, etc.) are encouraged to apply regardless of tech stack.

Please also note we are unable to sponsor or take over sponsorship of an employment Visa at this time. This is to include sponsorship down the road.

Key Responsibilities:

  1. Data Infrastructure Development (ETL, SQL):
    • Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
    • Develop and optimize complex SQL queries for data extraction, transformation, and loading.
    • Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
    • Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
    • Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations.
  2. Dimensional Modeling and Data Modeling:
    • Design and implement dimensional models to support data warehousing and business intelligence initiatives.
    • Design and implement different data modeling techniques to meet business' data demands that align with data architecture design.
    • Develop and maintain data schemas, ensuring data integrity and consistency for clients.
  3. Data Visualization:
    • Create and maintain dashboards and reports using data visualization tools to provide actionable insights.
    • Train clients on best practices for using data visualization tools to maximize value.
  4. Client Consultation:
    • Engage with clients to understand their data needs and business objectives.
    • Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements.
    • Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support.
    • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Qualifications:

  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a similar role.
  • Strong proficiency in SQL
  • Proven experience with data visualization tools and theory.
  • In-depth knowledge of dimensional modeling concepts and techniques.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail
  • Experience with cloud-based data platforms
  • Excellent communication and collaboration skills, with the ability to work effectively with clients.

The desired salary range for this position is $90,000 - $140,000 per year. This is a full time role with the practice.

About Us

At Datalere, we work with our clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world.
If you are seeking new challenges, interested in staying up to date with the latest releases and can deliver uncompromised service to our customers, then we'd like to hear from you. If you are interested and meet the above qualifications, please submit your resume and cover letter indicating your interest to join our team.