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Assistant Ai Labeling Jobs in Colorado (NOW HIRING)

Pharmacy Technician

Aurora, CO ยท On-site

$22.50/hr

Description Assist pharmacists with filling and preparing prescription medications. Enter ... Label, package, and prepare medications for dispensing. Maintain accurate patient and pharmacy ...

Cyber Data Protection Manager

Denver, CO ยท Remote

$114K - $154K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or ... Perform the role of mentor and coach to assist junior staff to develop skills by providing feedback ...

Cyber Data Protection Manager

Colorado Springs, CO ยท Remote

$109K - $147K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or ... Perform the role of mentor and coach to assist junior staff to develop skills by providing feedback ...

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Assistant Ai Labeling information

What's the easiest AI job to get?

Entry-level AI-related jobs like data labeling or annotation are generally the easiest to obtain, as they require minimal technical skills and often offer flexible schedules. These roles involve reviewing and tagging data to help train AI models and typically do not require advanced degrees or certifications.

What is the difference between Assistant Ai Labeling vs Data Annotator?

AspectAssistant Ai LabelingData Annotator
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentRemote or office-based; collaborative with AI teamsPrimarily remote; focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles supporting AI trainingData labeling and annotation tasks for AI models

Assistant Ai Labeling involves supporting AI systems by labeling data, often requiring some technical understanding. Data Annotator focuses on labeling data to prepare datasets for AI training. Both roles are essential in AI development, with overlapping skills but different focus areas.

What is an AI labeling job?

An AI labeling job involves reviewing and annotating data such as images, videos, or text to help train machine learning models. Workers typically use specialized tools to add tags or labels that enable AI systems to recognize patterns and make decisions. These jobs often require attention to detail and may be performed remotely with flexible schedules.

How to become a data labeler?

To become a data labeler, you typically need basic computer skills, attention to detail, and the ability to follow instructions. Many positions require no formal education, but familiarity with data annotation tools and understanding of the specific data type (images, text, audio) can be helpful. Some companies may require completing a training or assessment before starting the job.

What are Assistant AI Labeling jobs?

Assistant AI Labeling jobs involve reviewing, tagging, and categorizing data such as images, text, or audio to help train artificial intelligence and machine learning models. These roles are essential because accurate labeling ensures that AI systems can learn to recognize patterns and make decisions effectively. Tasks may include drawing bounding boxes around objects in images, transcribing spoken words, or classifying text according to given guidelines. The work is often done using specialized software and requires attention to detail as well as consistency. Assistant AI Labelers may work remotely or in-house for tech companies, research organizations, or data annotation firms.

What are some common challenges faced by Assistant AI Labeling professionals, and how can they be addressed?

Assistant AI Labeling professionals often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially with ambiguous or subjective cases. To address these challenges, most teams implement clear annotation guidelines, regular training sessions, and peer review processes to ensure high-quality outputs. Collaboration with data scientists and project managers is also key, as open communication helps clarify uncertainties and align labeling practices with project goals. Embracing feedback and staying flexible as guidelines evolve can further enhance both the quality of work and job satisfaction in this role.

What are the key skills and qualifications needed to thrive as an Assistant AI Labeling Specialist, and why are they important?

To thrive as an Assistant AI Labeling Specialist, you need strong attention to detail, accuracy, and an understanding of data annotation practices, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming languages like Python is beneficial. Dependability, time management, and the ability to follow complex instructions are crucial soft skills for excelling in this role. These skills ensure high-quality labeled data, which is vital for training accurate and reliable AI models.

How much do data labelers typically earn?

Data labelers, including assistant AI labelers, typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses for accuracy and efficiency.
What are popular job titles related to Assistant Ai Labeling jobs in Colorado? For Assistant Ai Labeling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Assistant Ai Labeling jobs in Colorado look for? The top searched job categories for Assistant Ai Labeling jobs in Colorado are:
What cities in Colorado are hiring for Assistant Ai Labeling jobs? Cities in Colorado with the most Assistant Ai Labeling job openings:
Infographic showing various Assistant Ai Labeling job openings in Colorado as of July 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution.
Senior AI Security Architect - Data Security & DSPM

Senior AI Security Architect - Data Security & DSPM

Eliassen Group

Almont, CO โ€ข On-site

$90 - $140/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Job description

Description:
Remote
Our client has an excellent opportunity for a Senior AI Security Architect to own the end-to-end security architecture for the Agentic AI platform and lead the data security mandate for AI. This combined senior role unifies Agentic AI security architecture and Data Security Posture Management into a single accountable owner who designs the secure platform and protects the data flowing through it.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $90.00 to $140.00/hr. w2
JN -28
Responsibilities:
  • Define and own the Agentic AI reference security architecture, including initial platform hardening and iterative versions.
  • Stand up and operate Microsoft Purview DSPM for AI, leveraging Microsoft FastTrack.
  • Establish sensitivity label and ML auto-classification baselines and govern data flows into and out of agents.
  • Set architecture standards for agent-to-API and agent-to-data access patterns.
  • Design and secure Agentic AI workloads across Azure and AWS with consistent controls.
  • Partner with Identity, AppSec, and GRC to embed security controls by design.

Experience Requirements:
  • Deep Azure and Microsoft 365 security architecture experience, including Microsoft Sentinel, Entra, and Microsoft Defender for Cloud.
  • Hands-on experience building and securing agents in multi-cloud environments using Azure and AWS services such as Bedrock Agents, AWS Lambda, and IAM.
  • Hands-on Microsoft Purview expertise, including DSPM for AI, sensitivity labels, data flow mapping, and ML-based auto-classification.
  • Strong understanding of API and agent security architecture with familiarity with Copilot Studio and other agent platforms.
  • Proven track record designing enterprise-scale secure architectures in regulated environments.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989