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Senior Data Annotation Analyst Jobs in Colorado (NOW HIRING)

This data platform is central to ensuring that our software development and data analytics teams have governed access to the data they need. As a Senior Data Engineer on the Platform Team, you will ...

This position does not offer relocation assistance About the Role We are seeking a Senior Data Analyst to support a Drilling & Completions (D&C) organization by transforming complex operational data ...

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

Understanding of AI technologies and their application (kiro, claude, genAI tools) As part of the Network Analytics team, the Sr Data Engineer role is crucial in building and maintaining the data ...

Senior Data Engineer

Englewood, CO · On-site

$135K - $165K/yr

... analytical systems. The ideal candidate brings deep hands-on experience with Microsoft data ... senior-level technical roles. * Advanced proficiency in SQL, ETL/ELT development, data modeling ...

Senior Data Scientist

Denver, CO · On-site

$132K - $155K/yr

Responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze ...

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

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 ...

... process through data analysis and reporting * Partner with ARG Senior Managers to support ... Identify, analyze, and escalate emerging asset quality trends and risks * Support the quarterly ...

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

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 ...

Senior Data Engineer

Denver, CO · On-site

$125K - $145K/yr

We are seeking an experienced Senior Data Engineer to join our dynamic data team. The ideal ... Collaborate with data scientists, analysts, application teams, and business stakeholders to ...

Senior Data Architect - Customer Domain

Aurora, CO · Hybrid

$68.25 - $91.25/hr

Trissential is partnering with a large, regulated enterprise to bring on a Senior Data Architect ... Partner with engineering and analytics teams to ensure data products are productionready ...

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

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 ...

Showing results 41-60

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What are the most commonly searched types of Data Annotation Analyst jobs in Colorado? The most popular types of Data Annotation Analyst jobs in Colorado are:
What cities in Colorado are hiring for Senior Data Annotation Analyst jobs? Cities in Colorado with the most Senior Data Annotation Analyst job openings:

Senior Data Engineer

SRS Acquiom

Denver, CO

$145K - $160K/yr

Full-time

Re-posted 16 days ago


Job description

About SRS Acquiom

SRS Acquiom delivers the smartest way to run a deal™ through a platform and services designed to help deal parties manage complex M&A and loan agency transactions more efficiently.

Based in Denver, Colorado, with offices across the United States and in London and Amsterdam, SRS Acquiom supports transactions across North America and Europe. Our M&A services include professional shareholder representation, paying and escrow agent services, and online document solicitation and reporting. For loan and credit transactions, we provide independent Administrative Agent, Collateral Agent, Sub-Agent, and Successor Agent services.

Since 2007, SRS Acquiom has supported more than 11,500 transactions globally. By bringing efficiency, expertise, and purpose-built technology to complex financial transactions, we help sophisticated deal parties focus on building great businesses and maximizing value.

We're equally committed to building careers as we are to building solutions. If you're looking for a company with entrepreneurial energy, a proven record of growth and innovation, and a culture that supports your next career move, we'd love to talk.

A few benefits our employees enjoy

  • Day‑one coverage: medical, dental, and vision plans so you're protected from the start
  • A 401(k) with a 4% company match to keep your future on track
  • Discretionary time off - take the time you need, when you need it
  • Employer‑paid life insurance, with the option to add extra coverage for peace of mind
  • Employee Assistance Programs for confidential support when life gets complicated
  • Discounted pet insurance (because furry family members count, too)
  • A fitness credit to back your health and wellness goals
  • Pre‑tax plans for dependent care, transportation, and flexible spending

Position Summary

We are growing our Platform Engineering team and are looking to add a Senior Data Engineer who will be able to help build our internal data platform. This data platform is central to ensuring that our software development and data analytics teams have governed access to the data they need. As a Senior Data Engineer on the Platform Team, you will be a part of driving the design, development, and implementation of our data platforms. Your responsibilities include partnering with the architect and engineering teams in developing our platform, as well as providing best practices and approaches to ensure security, resiliency, and availability of solutions. You will be challenged to create strategies that ensure the secure consumption of the platform through continuous innovation, simplification, and self-service automation.

Location: This position is either hybrid out of our Denver, CO office or a fully remote position from within the Continental United States.

If the candidate selected lives within a 20-mile radius of our downtown Denver office, they will be classified as a hybrid employee and beginning September 8, 2026, working one day per week in office is expected. Beginning January 1, 2027, two days per week in office will be expected.

If the candidate selected lives outside a 20-mile radius the Denver office, they will be classified as a fully remote employee and in-person onsite visits to the Denver headquarters will be required on average three times per year.

Compensation: The salary range for this position is between $145k and $160k, depending on experience level.

Primary Responsibilities

  • Participate in all initiatives keeping all compliance, security and regulatory needs satisfied
  • Be a thought leader by staying abreast of current and emerging technologies and industry trends.
  • Work with your peers to design and build data platform capabilities and incorporate the necessary automations and tool configurations that ensure agile delivery and secure consumption
  • Design and implement processes and tools that enable product engineering and BI/Analytics teams to consume an extensible and scalable data platform, which enforces all needed governance and consistent operational models
  • Be a trusted advisor for initiatives by providing objective, practical, and relevant ideas, insights, and advice while also building organizational partnerships and networks to ensure comprehensive capabilities are developed with input from appropriate business and Engineering resources
  • Directly support the use and delivery of data platform services in the organization
  • Ensure that all data platform solutions follow established security and compliance controls
  • Maintain existing and future software services code and configuration
  • Make recommendations for improvements to existing architecture
  • Help implement new technologies for future deployment
  • Provide technical guidance, knowledge transfers, and mentorship to clients on their data platform adoption
  • Help implement and improve the development of data pipelines
  • Other duties as assigned

Required Qualifications & Skills

  • B.S. in Computer Science or equivalent experience, 6+ years of experience with and strong working knowledge of SQL required, and understanding of data models is preferred
  • 6+ years of experience with or strong knowledge of Postgresql, MySQL, or other relational database design and programming: stored procedures, functions, PL/pgSQL
  • Experience with or working knowledge of managing AWS Data Infrastructure: S3, RDS, Managed Streaming Kafka, Lake Formation, Glue, Glue Data Catalog, Athena, Quicksight, DataZone
  • Experience with systems engineering and/or software development: Java, Javascript, Python
  • Experience with modern API platform design, security practices, and data architectures: event-driven architecture, change data capture, pub/sub

Preferred Qualifications & Skills

  • Experience with cloud solution design patterns: CI/CD, Docker, Kubernetes, containers, microservices, distributed caching
  • Experience with Terraform scripting
  • Experience with data integrations from third-party platforms: NetSuite, Salesforce, Workday, Pendo
  • Experience with reporting and analytic tools: Grafana, Kibana, Elasticsearch, Open Telemetry
  • Experience with ETL processes, projects, and tooling: Boomi
  • Understanding of systems hardening and secure systems configuration
  • Experience with regulatory compliance standards: HIPAA, PCI, SEC, FINRA
  • Excellent written and verbal communication skills, with the ability to present complex technical information in a clear and concise manner to a variety of audiences
  • Understanding of Agile/Kanban methodologies

Desired Characteristics

  • Self-motivated
  • Intellectually curious
  • Collaborative
  • Amiable
  • Operates with the highest integrity and attention to detail
  • Passionate about efficient, scalable business processes
  • Ability to prioritize and multitask across many projects

Physical Requirements/Special Demands

  • Must be available to work standard business hours and occasional nights/weekends.
  • Travel is required up to three times per year
** We are unable to sponsor or take over sponsorship of employment visas. Candidates must be legally authorized to work in the United States without the need for current or future visa sponsorship to move forward in the hiring process. **

Fraud & spam screening. We use tools in our applicant tracking system to help detect potentially fraudulent or spam applications. These tools analyze limited technical and contact information (such as IP address, device/browser signals, and email/phone characteristics) to flag patterns that may indicate automated, inauthentic, or suspicious activity. Flags are used to prioritize human review and do not, by themselves, determine hiring outcomes. Learn more in our Privacy Policy.

If you apply for a role with us, we may collect and process recruiting-related information through our applicant tracking system, including your resume/CV, work history, education, references, communications, and recruiting-related metadata. For US candidates, we may also use tools within our applicant tracking system to help detect potentially fraudulent or spam applications by analyzing limited technical and contact information (such as IP address, device/browser signals, and email/phone characteristics) to flag suspicious patterns for human review. US candidates at certain stages of the recruiting process may be required to complete identity verification through CLEAR. In that process, candidates provide information directly to CLEAR, including biometric data, such a facial and iris scans, as well as government-issued identification. CLEAR acts as an independent controller for the information it collects during verification. We receive only limited identity verification results/status and certain cross-reference fields (such as name, email, phone number, and IP address) within our applicant tracking system, and we do not receive or store government ID images, images, or biometric data from CLEAR. For information on how CLEAR collects, retains, and destroys biometric data, please visit: https://www.clearme.com/clear1-credential-policy-crp

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without advanced notice.

With respect to its programs, services, activities, and employment practices, SRS Acquiom Inc. assesses qualified individuals without regard to their race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), age, national origin, disability, veteran status, genetic information, or other protected status. Requests for reasonable accommodation or the provision of auxiliary aids should be directed to Human Resources.