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Data Labeler Remote Jobs in Colorado (NOW HIRING)

Senior Manager, Data Security

Denver, CO · On-site +1

$117K - $161K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

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 · 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 ...

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 more specialized roles. Many professionals use it as initial experience before moving into data science or 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 40 hours or more, and gaining experience or specializing in high-demand data annotation tasks. Increasing earnings may involve working for multiple clients, improving skills with annotation tools, or taking on higher-paying projects, but consistent high weekly income depends on workload, rates, and efficiency.

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.

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.

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.

How much are data labelers paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

Is data labeling work from home?

Data labelers often work remotely, as the job typically involves reviewing and annotating data using a computer and internet connection. Many companies offer remote data labeling positions with flexible schedules, requiring basic computer skills and attention to detail.
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 cities in Colorado are hiring for Data Labeler Remote jobs? Cities in Colorado with the most Data Labeler Remote job openings:
Senior Manager, Data Security

Senior Manager, Data Security

Autodesk

Denver, CO • On-site, Remote

$117K - $161K/yr

Full-time

Posted 5 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies


Job description

Job Requisition ID #

26WD99489

Position Overview

Autodesk's Information Security Engineering organization is looking for a Senior Manager, Data Security Engineering to lead the engineering strategy and execution for data protection across Autodesk's enterprise environment. This leader will own the data security engineering pillar, with accountability for data classification and discovery, data loss prevention (DLP), cloud data security, and SaaS security posture. Reporting to the Senior Director, Information Security Engineering, this role will build and lead a high-performing engineering team that designs, deploys, and operates scalable data security controls across Autodesk's cloud, SaaS, and endpoint environments.

This role requires both strong engineering depth and strong security judgment. The Senior Manager will partner closely with peer leaders across IAM, Network, SaaS, and Endpoint Security Engineering to ensure data-centric security controls are integrated across Autodesk's full technology stack. This leader should bring hands-on experience with Data Security Posture Management (DSPM) and SaaS Security Posture Management (SSPM) platforms, and the ability to translate data risk into engineering outcomes at enterprise scale. This is a forward-looking role: the expectation is not just familiarity with AI-assisted engineering tools, but genuine proficiency. The right candidate actively uses and evaluates the latest AI capabilities to accelerate detection, automate response, and raise the quality bar for their team.

This role is remote-friendly within North America. For those who prefer in-office or hybrid work, the role can be based in San Francisco, CA; Portland, OR; Boston, MA; Denver, CO; or Toronto, ON. Travel requirements are approximately 20%.

Responsibilities

  • Define the engineering strategy, architecture, and roadmap for Autodesk's data security capabilities spanning data classification and discovery, DLP, cloud data protection, and SaaS security posture

  • Lead engineering teams responsible for DSPM, SSPM, DLP platforms, data classification services, and data security integrations

  • Own the design and operation of data discovery and classification pipelines across structured and unstructured data in cloud, SaaS, and endpoint environments

  • Drive engineering for DLP policy enforcement across endpoints, network egress, email, cloud storage, and generative AI surfaces

  • Build and maintain cloud data security controls across AWS, Azure, and GCP, including storage security, data plane visibility, and misconfiguration remediation

  • Establish and mature SaaS security posture management capabilities, including data exposure discovery, third-party application risk, and configuration enforcement

  • Ensure data security engineering aligns to data minimization, least privilege access, encryption in transit and at rest, and auditability requirements

  • Partner with Legal, Privacy, Compliance, Engineering, and People teams to translate regulatory requirements (GDPR, CCPA, SOC 2, FedRAMP) into durable, scalable engineering controls and ensure data security requirements are embedded across the employee and product lifecycle

  • Drive adoption of automated classification, sensitivity tagging, and policy enforcement to reduce manual data handling risk at scale

  • Partner with IAM Engineering on data access governance, entitlement visibility, and access-based data risk reduction

  • Lead and grow a high-performing data security engineering organization with strong technical ownership, delivery standards, and production readiness

  • Drive active adoption of the latest AI-assisted engineering and security tools across the team, with a high bar for genuine proficiency, not just awareness

Minimum Qualifications

  • 8+ years of experience in data security, security engineering, or related enterprise security domains

  • 3+ years leading engineering teams responsible for data security platforms, DLP, DSPM, SSPM, or cloud data protection at enterprise scale

  • Strong hands-on experience with DSPM platforms for sensitive data discovery, classification, and risk quantification across cloud environments

  • Strong hands-on experience with SSPM platforms for SaaS configuration posture, data exposure, and third-party application risk management

  • Deep knowledge of data classification frameworks, sensitive data discovery, and automated tagging and labeling approaches

  • Experience designing and operating DLP controls across endpoints, network, cloud storage, email, and SaaS applications

  • Experience securing data in cloud environments across AWS, Azure, and GCP, including storage security, data access governance, and visibility tooling

  • Strong understanding of data-centric regulatory requirements including GDPR, CCPA, and SOC 2, and how to translate them into engineering controls

  • Experience integrating data security controls with identity, endpoint, and network security domains

  • Strong engineering fundamentals across APIs, automation, observability, and secure platform delivery

  • Demonstrated proficiency with current AI-assisted engineering tools (e.g., coding assistants, AI-driven detection, automated triage), with evidence of using them to meaningfully improve team output and security outcomes

  • Strong cross-functional leadership and the ability to influence Legal, Privacy, Compliance, Engineering, and People stakeholders

Preferred Qualifications

  • Experience with FedRAMP or other regulated environment data security requirements

  • Experience building data security paved roads and reusable engineering patterns for internal developer and platform teams

  • Experience with AI-era data risks, including training data exposure, LLM output leakage, prompt injection risk, and vector database security

  • Experience with data access governance, data lineage, and entitlement-based data risk reduction

  • Relevant certifications such as CISSP, CISM, or CCSP

Why This Role Matters

Data is among Autodesk's most critical assets. As Autodesk scales its cloud-native and AI-powered platforms, the attack surface for data exposure, exfiltration, and misuse grows in parallel. This role ensures Autodesk has mature, engineering-driven data security controls that protect sensitive customer, employee, and intellectual property data across the full data lifecycle, while enabling the business to move at speed with confidence. The engineer who fills this role will shape how Autodesk finds, classifies, controls, and monitors its most sensitive data for years to come.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $152,000 and $272,250. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.


Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


What Autodesk employees say

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982