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Data Annotation Project Manager Jobs in Mansfield, TX

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

Ensure annotations are accurate, consistent, and aligned with project guidelines. * Support quality ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

Ensure annotations are accurate, consistent, and aligned with project guidelines. * Support quality ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

Genius Road

Data Center Project Manager #3063

Dallas, TX · Hybrid

$119K/yr

Data Center Project Manager Contract Length: 12 months with potential extension(s) Location: Dallas, TX - Local candidates only Work Schedule: Hybrid - 3 days onsite The Data Center Project Manager ...

JLL

Data Collection and Analytics Project Manager

Dallas, TX · On-site

$51.25 - $69.25/hr

Position Summary The Senior Project Manager leads end-to-end execution of data collection and asset validation projects, serving as the primary client liaison, managing field teams, and ensuring ...

Embtel Inc

Technical Data Project Manager

Dallas, TX · On-site

Technical Data Project Manager Location: Dallas, TX (onsite day 1) Only Locals preferred. Contract JD : * Banking industry experience * Data program experience * Played technical role earlier in the ...

Strategic Staffing Solutions

Project Manager

Irving, TX · Remote

The Project Manager will lead cross-functional efforts involving data platforms, enterprise technology initiatives, and delivery execution across multiple teams. Key Responsibilities Lead and manage ...

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

Data Annotation Project Manager information

See Mansfield, TX salary details

$15

$51

$71

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

As of Jun 15, 2026, the average hourly pay for data annotation project manager in Mansfield, TX is $51.54, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $60.34 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 job categories do people searching Data Annotation Project Manager jobs in Mansfield, TX look for? The top searched job categories for Data Annotation Project Manager jobs in Mansfield, TX are:
What cities near Mansfield, TX are hiring for Data Annotation Project Manager jobs? Cities near Mansfield, TX with the most Data Annotation Project Manager job openings:
Data Annotation Project Manager jobs near you
Remote AI Analyst

Remote AI Analyst

Turing

Arlington, TX • Remote

Other

Posted 2 days ago

Job description

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is required—just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.


About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.


Role Overview :

Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.


Duration of Contract - 10 weeks

Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap


What You'll Do Day-to-Day :

- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.

- Review and document evaluation results, ratings, and observations using Google Sheets.

- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.

- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.


Requirements :

- Must be based in the United States and actively use Google Wallet.

- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.

- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.

- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.

- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.

- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.

- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

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