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Data Annotation Services Jobs in Colorado (NOW HIRING)

Contractor -Alteryx Developer

Boulder, CO · On-site

$56 - $73.75/hr

Apply Alteryx Designer best practices: modular workflow design, reusable macros, annotation ... Datavail's Data Management Services: Datavail's Data Management and Analytics practice is made up ...

... AI data services solutions within RWS. The role is integral in developing new strategies and ... Design and implement viable and scalable data acquisition and annotation workflows. Build and ...

... AI data services solutions within RWS. The role is integral in developing new strategies and ... Design and implement viable and scalable data acquisition and annotation workflows. Build and ...

Microsoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services ... Data Analyst Associate certifications * Document-heavy UX experience - PDF viewers, annotation ...

Sr. GIS Software Developer

Englewood, CO · On-site

$115K - $150K/yr

Web Services (REST/SOAP); XML; AJAX; IIS; HTML; CSS; Backbone.js; Marionette.js; jQuery; ASP.NET ... Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Symbology, Annotation ...

Bioinformatics Analyst II

Denver, CO · On-site +1

$90K - $105K/yr

Advanced proficiency in using bioinformatics tools for tasks such as genome assembly, annotation ... data. * Proficiency with genomic epidemiology methods, including phylogenetics, outbreak ...

New

Bioinformatics Analyst II

Denver, CO · On-site +1

$90K - $105K/yr

Advanced proficiency in using bioinformatics tools for tasks such as genome assembly, annotation ... data. * Proficiency with genomic epidemiology methods, including phylogenetics, outbreak ...

This commitment enables us to deliver personalized service and achieve the highest standards of ... creating data pipelines for training and testing, including annotation and evaluation tooling

Data Annotation Services information

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are popular job titles related to Data Annotation Services jobs in Colorado?

For Data Annotation Services jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Data Annotation Services jobs?

Cities in Colorado with the most Data Annotation Services job openings:

Contractor -Alteryx Developer

Boulder, CO • On-site

Socket.dev
Network Security • 1 - 10 employees

$56 - $73.75/hr

Other

Posted 6 days ago


Job description

Title: Senior Alteryx Developer

Location: USA

Exp: 8+ Years

Job Description:

We are seeking a results-driven Senior Alteryx Developer with proven expertise in API integrations, database connectivity, Snowflake environments, data validation, and Alteryx best practices. This role will be pivotal in enabling high-quality, automated, and reliable data pipelines that power analytics and business decision-making. The ideal candidate will bring strong technical skills, a detailed understanding of enterprise data ecosystems, and the ability to optimize Alteryx solutions for both Designer and Server environments.

1. API Integration & Automation
  • Design, build, and maintain Alteryx workflows that consume REST and SOAP APIs for real-time and batch data ingestion.

  • Implement authentication methods, including OAuth 2.0, API keys, and token-based security, within Alteryx workflows.

  • Monitor API integrations for performance, error handling, and data integrity.

2. Database Connectivity & Snowflake Integration
  • Establish and manage native Alteryx database connections across multiple RDBMS platforms (SQL Server, Oracle, MySQL, PostgreSQL, etc.).

  • Configure and optimize Alteryx–Snowflake connectivity using ODBC/JDBC drivers and bulk loading techniques.

  • Leverage pushdown optimization and in-database tools for maximum performance against large datasets.

3. Data Validation & Quality Assurance
  • Create frameworks within Alteryx for data quality checks, including completeness, accuracy, consistency, and referential integrity.

  • Implement logging and exception handling within workflows to monitor data anomalies.

  • Automate validation processes to run pre- and post-load for ETL jobs.

4. Best Practices & Performance Optimization
  • Apply Alteryx Designer best practices: modular workflow design, reusable macros, annotation/documentation, and version control.

  • Optimize workflows for Alteryx Server execution: scheduling, priority management, dependency handling, and resource optimization.

  • Implement governance standards for workflow deployment, access management, and error resolution.

5. Collaboration & Documentation
  • Partner with analysts, data engineers, and business stakeholders to translate requirements into efficient workflows.

  • Maintain clear technical documentation for workflows, macros, APIs, and connections.

  • Train junior staff and evangelize Alteryx best practices across the organization.

  • Required Qualifications

Required:

  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field.

  • 3–5+ years of Alteryx Designer experience (Core or Advanced certified preferred).

  • Proven experience integrating APIs into Alteryx workflows.

  • Strong background in database administration and connectivity within Alteryx.

  • Hands‑on experience with Snowflake data cloud integration, including bulk loads and query optimization.

  • Skilled in SQL (DDL/DML), with ability to script and optimize queries.

  • Excellent understanding of ETL concepts, data cleansing, and data governance.

  • Strong problem‑solving and troubleshooting capabilities.

  • Excellent communication skills for cross‑team collaboration.

Preferred Skills

  • Experience building Macros in Alteryx

  • Experience with automation tools such as Alteryx Scheduler or Server API.

  • Familiarity with Python or R for supplemental analytics tasks.

  • Cloud experience (Snowflake on AWS/Azure/GCP ecosystem).

  • Knowledge of CI/CD and workflow version control systems (Git, Bitbucket).

  • Reading/writing from Snowflake (Using Alteryx)


Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world‑class tech‑enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.
Datavail’s Data Management Services: Datavail’s Data Management and Analytics practice is made up of experts who provide a variety of data services including initial consulting and development, designing and building complete data systems, as well as ongoing support and management of database, data warehouse, data lake, data integration, and virtualization and reporting environments. Datavail’s team is comprised of not just excellent BI & analytics consultants, but great people as well. Datavail’s data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business objectives, goals and requirements, assess your environment, and recommend the tools which best fit your unique situation. Our proven methodology can help your project succeed, regardless of stage. With the combination of a proven delivery model and top‑notch experience ensures that Datavail will remain the Data Management experts on demand you desire. Datavail’s flexible and client focused services always add value to your organization.
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