ZipRecruiter

Log In

1

Data Annotation Project Manager Jobs in Houston, TX

Tyndale

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

TEKsystems

Project Manager

Houston, TX

$75 - $95/hr

OnePlan Implementation & Data Migration Oversight - kick off with the vendor is 6/22/26 OVERVIEW Our client is seeking a Senior-level Project/Program Manager to oversee the implementation of the ...

ITCAPS LLC

Project Manager

Texas City, TX · Hybrid

Project ManagerIntroduction Seeking an experienced Project Manager with strong Storage and Data Center infrastructure experience for projects based in West Texas. The ideal candidate will have ...

EnQuest Energy Solutions

Project Manager

Houston, TX

... data center applications. The Project Manager will serve as the primary customer interface and is ... accountable for successful project execution from order intake through engineering, manufacturing ...

NDT Global

Project Manager

Houston, TX · On-site

About NDT Global NDT Global is the leading provider of inline diagnostic solutions, advanced data ... The Project Manager leads the project team to ensure smooth execution of activities to exceed the ...

next page

Showing results 1-20

People also search for

All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Houston, TX

Data Annotation Project Manager information

See Houston, TX salary details

$16

$54

$76

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

As of Jun 11, 2026, the average hourly pay for data annotation project manager in Houston, TX is $54.92, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $64.28 per hour, depending on experience, location, and employer.

What is the average salary for a data annotation project manager?

The average salary for a data annotation project manager typically ranges from $70,000 to $110,000 annually, depending on experience, location, and company size. In regions with a high cost of living, such as California, salaries tend to be higher to compensate for living expenses.

Does data annotation really pay you?

Data annotation project managers oversee labeling tasks and typically earn a salary or hourly wage, depending on the employer and project scope. Compensation varies based on experience, location, and the complexity of the annotation work, but it is generally a paid role with standard employment benefits. Freelance or contract annotators may be paid per task or project.

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation project managers oversee this work, ensuring accuracy and quality using tools like labeling platforms. The process is legitimate and widely used in industry for creating reliable datasets.

What is the highest salary of data annotation?

The highest salaries for data annotation project managers can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of projects managed. Senior roles with extensive oversight or specialized skills in tools like labeling platforms may earn higher compensation. Salary ranges vary widely based on industry and company size.

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.
What are popular job titles related to Data Annotation Project Manager jobs in Houston, TX? For Data Annotation Project Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Annotation Project Manager jobs in Houston, TX look for? The top searched job categories for Data Annotation Project Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Annotation Project Manager jobs? Cities near Houston, TX with the most Data Annotation Project Manager job openings:
Data Annotation Project Manager jobs near you
Project Manager, AI and Data Science

Project Manager, AI and Data Science

Tyndale

Houston, TX • Hybrid

$49.50 - $66.75/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Overview

Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.

You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement of adoption and business value.

HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).

About Tyndale 

The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector - including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We're a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We're the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.

Responsibilities
  • Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews, and retros; coach team members on Agile practices and remove impediments.
  • Manage a backlog for Data Science and AI platform work in Jira.
  • Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models and Generative AI products.
  • Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use.
  • Own project scope, schedule, and budget tracking for assigned initiatives, including dependency management, change control, and stakeholder communication.
  • Maintain an active risk and issue log; drive mitigations and escalations that protect delivery commitments and compliance requirements.
  • Define and track success metrics such as sprint velocity, on time delivery, escaped defects, model reproducibility, data quality SLAs, SaaS AI adoption rates, and stakeholder satisfaction.
  • Support vendor management activities for SaaS AI and AWS partners, including SOWs, renewals, and contract performance.
  • Ensure high quality documentation for requirements, test plans, runbooks, model cards, governance artifacts, and change decisions.
  • Support training, UAT, and enablement to help business teams adopt AI driven workflows and tools.
Qualifications
  • Minimum of 5 years of professional project management experience in technology, analytics, or data driven environments.
  • Bachelor's Degree required.
  • PMP certification required.
  • Proven experience delivering Data Science or machine learning projects, including coordination of data ingestion, feature engineering, and model deployment.
  • Experience managing SaaS AI product implementations such as ChatGPT Enterprise, Slack AI, Scribe, Veo 3, or similar tools, with a clear focus on change management and user adoption.
  • Proficiency with Agile delivery tools (Jira / Confluence).
  • Excellent written and verbal communication skills, with a track record of concise, executive ready reporting.

Preferred qualifications

  • Scrum Master certification (CSM, PSM, or equivalent) strongly preferred.
  • Familiarity with statistics, analytics, and Data Science concepts.
  • Experience defining and maintaining KPI dashboards for AI and data initiatives.

 

Benefits

  • Health & Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
  • Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
  • Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.
  • Career Growth & Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
  • Culture & Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.

 

Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.

E.O.E

#LI-SP1 #LI-Hybrid

Employment Type: OTHER

Apply