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Data Annotation Project Manager Jobs in Nevada (NOW HIRING)

Noble Studios

Project Manager

Las Vegas, NV

At Noble Studios , we create award-winning, data-driven digital performance solutions that deliver measurable results. Project management is a cornerstone of our success, and we're looking for an ...

Noble Studios

Project Manager

Reno, NV

At Noble Studios , we create award-winning, data-driven digital performance solutions that deliver measurable results. Project management is a cornerstone of our success, and we're looking for an ...

Thermo Systems

... hyperscale data centers. This role oversees project execution from early planning through ... The Project Manager partners closely with engineering teams, subcontractors, field personnel, and ...

Thermo Systems LLC

Project Manager

Henderson, NV

... hyperscale data centers. This role oversees project execution from early planning through ... The Project Manager partners closely with engineering teams, subcontractors, field personnel, and ...

Link Technologies

Project Manager

Las Vegas, NV · On-site

... and retrieve data and prepares reports using a computer; reviews such reports for accuracy and ... experience managing IT projects Managing Software Development Projects using Agile Managing ...

Thermo Systems

Project Manager

Henderson, NV · On-site

... hyperscale data centers. This role oversees project execution from early planning through ... The Project Manager partners closely with engineering teams, subcontractors, field personnel, and ...

SME Industries Inc

Project Manager

Henderson, NV · On-site

Position Summary We are seeking a Project Manager to join our team. In this role, you will lead ... data exchange, specification compliance, schedule discipline, change management, billings and ...

Tutor Perini

Project Manager

Las Vegas, NV · On-site

Notable projects include Formula 1 and City Center projects in Las Vegas for MGM, data center ... Manage development of master project schedule and quality control program * Identify critical ...

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Data Annotation Project Manager information

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards using tools like labeling platforms and project management software.

Does data annotation actually pay?

Data annotation project managers oversee tasks where annotators are paid for labeling data used in machine learning. The pay for annotators varies depending on the platform, project complexity, and experience, with many earning hourly wages or per-task rates. The role of a project manager involves coordinating these efforts and ensuring quality, often with a salary or contract-based compensation.

What are the key skills and qualifications needed to thrive as a Data Annotation Project Manager, and why are they important?

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

How hard is it to get hired by data annotation?

Getting hired as a data annotation project manager typically requires relevant experience in project management, familiarity with annotation tools, and strong organizational skills. The role often involves coordinating teams and ensuring quality standards, with some positions requiring certifications or prior experience in data labeling environments. Competition varies depending on the company and location, but demonstrating technical knowledge and management ability can improve chances of hiring.

What is the salary of data annotation manager?

The salary of a Data Annotation Project Manager typically ranges from $60,000 to $100,000 annually, depending on experience, location, and company size. They often oversee teams using annotation tools and ensure quality standards are met in data labeling projects.

What are some common challenges faced by Data Annotation Project Managers, and how can they be managed effectively?

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is the difference between Data Annotation Project Manager vs Data Labeling Specialist?

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What is a Data Annotation Project Manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.
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Data Annotation Project Manager jobs near you
Technical Project Manager - Salesforce Data Cloud

Technical Project Manager - Salesforce Data Cloud

Fusion HCR

Las Vegas, NV • Hybrid

Full-time

Posted 20 days ago

Job description

Technical Project Manager – Salesforce Data Cloud
Location: Las Vegas, NV (Hybrid – 3 Days Onsite in Summerlin)
Type: Contract (6 Months+ Potential Extension)
Industry: Gaming & Interactive Entertainment
Position Overview
Fusion HCR is seeking an experienced Technical Project Manager to lead enterprise Salesforce initiatives focused on Data Cloud, Revenue Cloud (CPQ), and enterprise data strategy. This role will drive Agile delivery across multiple platforms while partnering closely with Product Management, Business Applications, Data Engineering, and Development teams.
The ideal candidate has a strong background managing Salesforce ecosystems within complex enterprise environments and can effectively coordinate cross-functional teams, technical dependencies, and large-scale data initiatives. Experience within gaming, interactive entertainment, or digital media environments is highly preferred.
Key Responsibilities
Agile Project Delivery
  • Lead Agile ceremonies including sprint planning, daily standups, backlog refinement, reviews, and retrospectives.
  • Coordinate delivery across multiple technical teams while maintaining project timelines and stakeholder visibility.
  • Facilitate Program Increment (PI) planning and roadmap execution.
  • Translate business objectives into prioritized epics, features, and user stories.
Technical Project & Solution Management
  • Manage enterprise initiatives spanning Salesforce Data Cloud, Sales Cloud, and Revenue Cloud (CPQ).
  • Oversee cross-platform dependencies involving Salesforce, Snowflake, MuleSoft, Dynamics 365, Pricefx, and other enterprise systems.
  • Partner with Product Managers, Architects, and Engineering teams to ensure successful delivery of technical solutions.
  • Drive issue resolution and risk mitigation across multiple workstreams.
Azure DevOps Governance
  • Maintain project governance utilizing Azure DevOps (ADO).
  • Ensure accurate tracking of epics, features, stories, defects, and dependencies.
  • Monitor sprint health, velocity metrics, and delivery performance.
  • Provide project status reporting and executive-level communications.
Data Strategy & Governance
  • Support initiatives involving Salesforce Data Cloud capabilities including:
    • Data Model Objects (DMOs)
    • Identity Resolution
    • Calculated Insights
    • Snowflake Data Sharing
  • Facilitate discussions around customer, product, pricing, and revenue data governance.
  • Coordinate technical teams responsible for data integration and enterprise reporting.
Change Management & Business Adoption
  • Partner with business stakeholders to ensure successful adoption of new processes and technologies.
  • Support organizational change initiatives tied to Salesforce and enterprise data platforms.
  • Drive communication, training coordination, and stakeholder engagement activities.
Required Qualifications
Experience
  • 5+ years of Technical Project Management experience.
  • Proven success delivering enterprise Salesforce implementations.
  • Experience working within Agile development environments.
  • Strong background utilizing Azure DevOps (ADO) for project and sprint management.
  • Experience managing multi-team technical projects with complex dependencies.
  • Hands-on experience supporting Salesforce Data Cloud initiatives.
  • Experience with Salesforce Revenue Cloud (CPQ) environments.
Technical Knowledge
  • Strong understanding of enterprise data architecture and data governance concepts.
  • Familiarity with:
    • Salesforce Data Cloud
    • Salesforce Sales Cloud
    • Salesforce Revenue Cloud (CPQ)
    • Snowflake
    • MuleSoft
    • Microsoft Dynamics 365
    • Enterprise integration platforms
  • Ability to communicate effectively with architects, developers, data engineers, and business stakeholders.
Preferred Qualifications
  • Experience within Gaming, Interactive Entertainment, Digital Media, or Hospitality industries.
  • Agile certifications such as:
    • Certified Scrum Master (CSM)
    • PMI-ACP
    • SAFe Certification
    • Product Owner/Product Manager (POPM)
Key Competencies
  • Agile Project Delivery
  • Technical Program Management
  • Salesforce Data Cloud
  • Azure DevOps
  • Data Governance
  • Cross-Functional Leadership
  • Enterprise Integrations
  • Stakeholder Management
  • Change Management
  • Risk & Dependency Management