1

Data Annotation Project Manager Jobs in Austin, TX

You'll manage a team of Project Coordinators and a Project Coordinator Lead, own the day-to-day ... annotation or data labeling programs, or working in trust & safety / quality ops * Experience ...

You'll manage a team of Project Coordinators and a Project Coordinator Lead, own the day-to-day ... annotation or data labeling programs, or working in trust & safety / quality ops * Experience ...

Overseeing expanding HHS data integrations with departments across HHSC. The Program Manager position will involve management of all aspects of the project and will report to the IT Data Analytics ...

The Role We Want You For The Project Manager will be based on the construction project site. In ... 3). * 2025 ENR Top 25 Data Center Builders - Data Center Contractor (Top 3). Benefits

The Role We Want You For The Project Manager will be based on the construction project site. In ... 3). * 2025 ENR Top 25 Data Center Builders - Data Center Contractor (Top 3). Benefits

The Role We Want You For The Project Manager will be based on the construction project site. In ... 3). * 2025 ENR Top 25 Data Center Builders - Data Center Contractor (Top 3). Benefits

The Role We Want You For The Project Manager will be based on the construction project site. In ... 3). * 2025 ENR Top 25 Data Center Builders - Data Center Contractor (Top 3). Benefits

The Role We Want You For The Project Manager will be based on the construction project site. In ... 3). * 2025 ENR Top 25 Data Center Builders - Data Center Contractor (Top 3). Benefits

About T5 Data Centers At T5, we're defined by a magnetic culture of excellence that attracts ... Senior Project Manager Location: Austin, TX | Type: Full-time The Sr. Project Manager will be ...

This Project Manager contractor position is part of the Administrative Applications Production Data Services team and will be working on the development and implementation of modifications and ...

About T5 Data Centers At T5, we're defined by a magnetic culture of excellence that attracts ... Austin, TX | Type: Full-time The Sr. Project Manager will be responsible for coordinating the ...

The Role We Want You For The Project Manager will be based on the construction project site. In ... 3). * 2025 ENR Top 25 Data Center Builders - Data Center Contractor (Top 3). Benefits

Responsibilities : • Facilitate collaboration between technical teams, program leads, and data stakeholders. • Proactively identify and resolve project impediments, manage competing priorities ...

This role supports a Technical Project Manager for a data engineering project with an AI adoption program. The position involves managing cross-functional coordination, tracking deliverables ...

... data center projects . This opportunity is ideal for a driven leader who excels in fast-paced environments, effectively bridges field and office operations, and successfully manages projects from ...

Showing results 41-60

Data Annotation Project Manager information

See Austin, TX salary details

$16

$57

$79

How much do data annotation project manager jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data annotation project manager in Austin, TX is $57.00, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $66.73 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a data annotation project manager?

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.

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 are popular job titles related to Data Annotation Project Manager jobs in Austin, TX?

For Data Annotation Project Manager jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Data Annotation Project Manager jobs?

Cities near Austin, TX with the most Data Annotation Project Manager job openings:

Infographic showing various Data Annotation Project Manager job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $118,565 per year, or $57 per hour.

Project & Operations Manager

Sensi.ai

Austin, TX • On-site

Full-time

Re-posted 4 days ago


Job description

About the Role

We sit at the intersection of AI and real human experience. Our HITL (Human-in-the-Loop) Operations team is responsible for making sure the AI our clients interact with actually works —reviewing outputs, catching errors, cleaning data, and closing the loop with real people when the technology isn't enough.

This function sits at a critical intersection of Product, Operations, Customer Experience, and Go-to-Market, serving as the connective tissue between what we build, how it performs in the real world, and how we continuously improve it. The insights generated here directly influence product decisions, customer outcomes, and our ability to scale effectively.

We're looking for an Project & Operations Manager to lead this team. You'll manage a team of Project Coordinators and a Project Coordinator Lead, own the day-to-day operational rhythm, and serve as the bridge between your team and the Product Manager driving the broader product. This is a working-manager role: part people leader, part process builder, part operational strategist.


What Your Team Does

The HITL Operations team plays a critical quality and feedback role across the product lifecycle:

  • Review AI outputs — the team monitors and evaluates LLM-generated interactions with real clients, flagging errors, inconsistencies, and edge cases
  • Feed product — insights and patterns from reviews are surfaced to the Product team to improve model performance and client experience
  • Human escalations — when clients are uncomfortable interacting with AI, the team steps in directly, speaking with them by phone to resolve concerns and maintain trust
  • CRM data management — team members identify and clean bad or incomplete data in the CRM, ensuring downstream reporting and client records are accurate
  • Process improvement — the team actively documents what's breaking and builds better processes to prevent it from happening again


What You'll Do

  • Lead, coach, and develop the Project Coordinator Lead and the broader Project Coordinator team — including workload distribution, performance management, and career growth
  • Act as the primary connector between the HITL team and the Product Manager, translating strategic priorities into team execution and surfacing risks or blockers early
  • Monitor day-to-day output quality and volume across the team; identify and resolve bottlenecks before they escalate
  • Plan and manage team overhead — staffing levels, capacity planning, and workload balance — as client and product volume shifts
  • Track and reduce operational costs across the team's workflows and tooling
  • Build and launch new operational initiatives; provide hands-on support when new product features or client programs roll out and need operational infrastructure
  • Maintain process documentation so the team operates consistently and new hires ramp quickly
  • Report regularly on team performance, capacity, and cost to leadership
  • Serve as the operational product expert for the team — the go-to resource for understanding how the product works end-to-end, leading investigations when something breaks or behaves unexpectedly, and ensuring findings are clearly communicated to the right stakeholders.

Requirements:
  • 3+ years of direct people-management experience — you've led a team, not just managed projects
  • Experience working closely with a Product or Project Managers as their operational counterpart — translating priorities to a team and escalating blockers up
  • Hands-on experience with CRM platforms (e.g., Salesforce, HubSpot, or similar) — including data cleanup, hygiene practices, or workflow management within a CRM
  • Comfort with data review, quality assurance, or output evaluation workflows — you understand what it means to systematically assess whether something meets a standard
  • Track record of managing team capacity and overhead — you've had to balance what needs doing against what you can realistically staff
  • Proactive process builder mindset — you see a broken workflow and fix it, not just flag it
  • Strong communicator who can translate between a detail-oriented team and outcome-focused stakeholders


Nice to Have

  • Experience in AI, machine learning, or HITL operations environments — reviewing model outputs, supporting annotation or data labeling programs, or working in trust & safety / quality ops
  • Experience handling client-facing escalations or human escalation workflows
  • Background in scaling a small team or function as program volume grew
  • Familiarity with project management tooling (e.g., Hubspot, Asana, Monday.com, Jira, or similar)