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Data Annotation Manager Jobs in Dallas, TX (NOW HIRING)

Delivery Lead

Dallas, TX ยท Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Product Owner- Data Engineering

Irving, TX ยท On-site

$128K - $192K/yr

The principal responsibility of the Project Manager is to manage the planning and execution of ... Knowledge of data ingestion, data hauling/connectivity, data ontology, annotation architecture ...

High Volume (TOFU) Recruiter

Dallas, TX ยท On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Showing results 21-40

Data Annotation Manager information

See Dallas, TX salary details

$30.7K

$96.1K

$170.2K

How much do data annotation manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data annotation manager in Dallas, TX is $96,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,200.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

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

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Dallas, TX?

The most popular types of Data Annotation jobs in Dallas, TX are:

What are popular job titles related to Data Annotation Manager jobs in Dallas, TX?

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

What job categories do people searching Data Annotation Manager jobs in Dallas, TX look for?

The top searched job categories for Data Annotation Manager jobs in Dallas, TX are:

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

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

Infographic showing various Data Annotation Manager job openings in Dallas, TX as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 71% In-person, 7% Hybrid, and 22% Remote job distribution, with an average salary of $96,099 per year, or $46.2 per hour.

Clinical Applications Specialist (Dallas, TX)

Perimeter Medical Imaging AI

Dallas, TX โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

CLINICAL APPLICATIONS SPECIALIST (Dallas, TX)
Perimeter Medical Imaging AI is a medical technology company driven to transform cancer surgery with its ultra-high resolution imaging technology to achieve our mission of advancing the standard of care, improving patient outcomes, and reducing healthcare costs. Our ultra-high-resolution, real-time, advanced imaging tools address areas of high unmet medical need.
With headquarters in Toronto, Canada and U.S. headquarters in Dallas, Texas, Perimeter Medical Imaging (TSXV:PINK)(FSE:4PC) has launched the next generation of imaging technology that allows surgeons to visualize microscopic tissue structures with unparalleled clarity in the operating room.
Clinical Applications Specialist Job Description
The Clinical Application Specialist (CAS) provides on-site support for clinical imaging product demonstrations, device use, and procedural support in live surgical settings for an advanced medical imaging technology in the oncology space. Travel is required up to 85% of the time (~4 days per week) and may include some overnights, weekends, and holidays.
Responsibilities:
  • Provide on-site product demonstrations, new customer onboarding, educational in services, quarterly business reviews with Market Development Managers and technical and procedural support for fast paced live surgical settings
  • Act as an expert user for Perimeter OCT devices and image interpretation
  • Provide customers and end users with product, clinical, technical, educational, and sales support to maximize recurring revenue, utilization of company products, and customer service objectives
  • Provide image training and device use to internal employees and external clinical and commercial users
  • Provide continued onsite procedural and technical support for all Perimeter products to clinical and commercial users, clinicians, health care providers, and investigators
  • Prepare and deliver professional clinical case reports and presentations that include medical images, relevant information and laboratory results to the customer for case review and product evaluation
  • Identify, troubleshoot, and communicate product issues that occur in the field
  • Develop and implement activities to achieve and exceed the company's clinical and sales objectives.
  • Expand Perimeter OCT usage in existing accounts by identifying potential new surgeons and/or surgeries
  • Prospect for new system installations and system upgrades to your assigned accounts
  • Provide effective and timely customer communication and feedback back to the company
  • Provide SME and data annotation of medical images towards the development of AI algorithms
  • Contribute to internal and external training program initiatives when assigned by the product team

Qualifications:
  • Bachelor's degree or equivalent with 3 years of clinical industry experience or an allied health professional degree ( RN, MRT (r, T), RRT, PA etc).
  • Experience with operations management of health care facilities.
  • Proven key account management.
  • Ability and willingness to travel extensively 85% (~4 days per week including overnight, some weekends and holidays) within the U.S.
  • Willingness to provide technical and procedural support in a fast-paced live surgical environment
  • Must be willing to satisfy medical credentialing agency requirements, including proof of specific immunizations and titers, background checks, and drug screening
  • Ability to quickly understand and communicate technical concepts
  • Demonstrated ability to analyze customer data and develop clinical programs to support customers
  • Demonstrate proficiency in Microsoft Office Suite, Google Workspace, DICOM viewers, and other digital tools; possess strong overall technical acumen to support product use, and image analysis.
  • Strong critical thinking and analytical skills
  • Proven track record of relationship building skills.
  • High-level presentation skills; able to present ideas to customers in a way that produces understanding and impact.
  • Articulate communicator, a people person, competitive, team player.
    Exceptional level of accountability and integrity