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Data Annotation Project Manager Jobs in Broken Arrow, OK

Actalent

Project Manager

Tulsa, OK · On-site

Project Manager The Project Manager supports the management of construction materials testing and ... Review and interpret technical data and engineering reports related to geotechnical investigations ...

Javelin Operations

Project Manager

Tulsa, OK · On-site

... data-center infrastructure. Position Overview Javelin is seeking an experienced Project Manager to ... take ownership of projects from contract award through successful completion. This position will ...

OmniForce

Project Manager

Tulsa, OK

... and data center markets. Known for engineering excellence, reliability, and custom design ... The Project Manager/Engineer owns a project from the point of handoff from the Sales/Application ...

Webco Industries

Project Manager

Kellyville, OK · On-site

... data Trustworthiness Provides transparent updates and reliable information Team-Oriented ... Experience: 4+ years in project management or related discipline; manufacturing preferred

Thermosystems

Project Manager

Muskogee, OK · On-site

$95 - $140/hr

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

Advastar, Inc

Assistant Project Manager

Tulsa, OK · On-site

This is a jobsite-based project management role (not clerical) running the electrical scope on large mission-critical and data center builds. Future assignments are primarily across the Midwest. It ...

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Data Annotation Project Manager information

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

As of Sep 7, 2026, the average hourly pay for data annotation project manager in Broken Arrow, OK is $50.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $58.94 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 job categories do people searching Data Annotation Project Manager jobs in Broken Arrow, OK look for?

The top searched job categories for Data Annotation Project Manager jobs in Broken Arrow, OK are:

What cities near Broken Arrow, OK are hiring for Data Annotation Project Manager jobs?

Cities near Broken Arrow, OK with the most Data Annotation Project Manager job openings:

Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in Broken Arrow, OK as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $104,719 per year, or $50.3 per hour.

Manufacturing AI Training Specialist -- Task Creation & Model Evaluation (Contract)

Risedatalabs

Tulsa, OK • On-site

$90 - $130/hr

Other

Posted 19 days ago

Job description

About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including manufacturing, engineering, operations, and supply chain. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.


Job Overview As a Manufacturing AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the manufacturing domain. Rather than traditional annotation and labeling, this role centers on benchmark task creation and evaluation: you'll draw on your real professional experience to author realistic, economically valuable manufacturing tasks and rubrics, then grade AI-generated deliverables against them.


What You'll Do


  • Author realistic task scenarios drawn from your own professional experience - e.g., analyzing production data, building cost or capacity models, evaluating supplier quotes, or reviewing technical specs

  • Supply the kinds of reference materials you'd use on the job (spreadsheets, CAD/engineering files, procurement documents)

  • Write detailed rubrics defining what a correct, high-quality deliverable requires - specific calculations, formatting, and structure a client would expect

  • Grade AI-generated deliverables (often Excel models or technical documents) against your rubric and professional judgment

  • Participate in calibration sessions with other experts to align scoring standards across the benchmark


Preferred Qualifications


  • Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, Operations, or a related field

  • Prior hands-on experience in manufacturing operations, production management, or supply chain/procurement

  • Comfort working in Excel-heavy workflows (cost models, BOMs, capacity planning)

  • Prior experience with AI model training, evaluation, or benchmark development is a plus


What We Offer At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment. We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in manufacturing and industrial work.

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