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Data Labeling Jobs in Colorado (NOW HIRING)

TEKsystems

Data Center Technician

Fort Collins, CO

$23 - $25/hr

Stage, route, and label power and network cables. * Install hardware components and peripherals ... Data center experience. * Experience with server hardware maintenance and repair. * Familiarity ...

Accenture

Data Protection Consultant

Denver, CO

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

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Data Labeling information

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. Some may work as freelancers or part-time, with pay rates varying accordingly.

How can I get started in data labeling?

To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.

Is data labeling a good career?

Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
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 Data Labeling jobs in Colorado? For Data Labeling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Colorado look for? The top searched job categories for Data Labeling jobs in Colorado are:
What cities in Colorado are hiring for Data Labeling jobs? Cities in Colorado with the most Data Labeling job openings:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Colorado as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% In-person job distribution.

Bilingual Data Analyst I (Spanish & English)

Kforce Technology Staffing

Greenwood Village, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

RESPONSIBILITIES:
Kforce is immediately seeking an experienced Bilingual Data Analyst I, in support of our enterprise telecommunications and mass media client based in Greenwood Village, CO. Candidates must be local to CO.
Summary:
We are looking for a Bilingual Data Analyst I to support a telecom client's Customer Experience team, working closely with Data Scientists on AI model validation and data processing. This role involves manual data labeling, model output validation, dashboard creation, and ad-hoc reporting.
Responsibilities:
* Data Analyst will perform manual labeling of data to support AI model training
* Validate AI model outputs, ensuring accuracy and identifying gaps
* Analyze call transcriptions and compare them against model predictions
* Extract and prepare data from various sources using SQL
* Bring data into a centralized environment for analytics and model training
* As a Data Analyst, you will create and maintain Power BI dashboards, publishing and sharing insights
* Support ad-hoc reporting requests from stakeholders
* Document findings, model validation results, and processes using JIRA
REQUIREMENTS:
* 2+ years as a Data Scientist or similar
* Proficiency in SQL for data extraction and manipulation
* Python skills for data processing and validation tasks
* Experience in data validation to assess model performance and accuracy
* Strong analytical and problem-solving skills
Preferred Skills:
* Experience with Databricks for data processing
* Knowledge of Power BI for reporting and visualization
* Exposure to LLM models and GPT-based AI solutions
* Familiarity with cloud environments like Azure or AWS
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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