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Data Annotation Project Manager Jobs in Santa Fe, NM

Omega Technical Services

Project Controls 4

Los Alamos, NM · On-site

$175K - $225K/yr

... data). * Demonstrates an intermediate level of understanding of project controls general technical skills. * Knowledge of engineering and/or construction management customarily acquired over time ...

Spectra Tech, Inc.

Project Controls 3

Los Alamos, NM · On-site

Support the Earned Value Management System (EVMS) and Project Controls System. Perform cost ... or data requires an in-depth evaluation of variable factors. Work is accomplished without ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Santa Fe, NM

Data Annotation Project Manager information

See Santa Fe, NM salary details

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

As of Aug 9, 2026, the average hourly pay for data annotation project manager in Santa Fe, NM is $56.45, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $66.06 per hour, depending on experience, location, and employer.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

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 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 Santa Fe, NM look for? The top searched job categories for Data Annotation Project Manager jobs in Santa Fe, NM are:
What cities near Santa Fe, NM are hiring for Data Annotation Project Manager jobs? Cities near Santa Fe, NM 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 Santa Fe, NM as of June 2026, with employment types broken down into 71% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,419 per year, or $56.5 per hour.

Project Controls 4

United Global Technologies

Los Alamos, NM

Full-time

Re-posted 26 days ago

Job description

Position typically requires a bachelor?s degree and a minimum of twelve years related experience, or an equivalent combination of education and experience. At this level, post graduate course work may be expected.Support the Earned Value Management System (EVMS) and Project Controls System. Perform cost estimating, analysis and control activities. As delegated to, supervises and provides technical direction for cost engineering and/or planning/scheduling activities. Identifies trends for management attention.
Supervises schedule development, maintenance and monitoring activities. Supervise cost engineering analysis, and control activities. Prepares and reviews or supervises the preparation and presentation of cost engineering and planning activities. Supports project organizational and administrative activities. Responsible for cost engineering and cost analysis/control and planning and scheduling activities for projects with significant non-routine requirements or for discipline/projects/proposal cost and planning activities which require a high degree of technical skilled experience. Demonstrated skill in identifying, analyzing, and providing innovative solutions to cost engineering and schedule guidance to projects. Ensures work is completed as scheduled. Identification of cost trends for management attention. Has broad expertise or unique knowledge, uses skills to contribute to development of objectives and principles and to achieve goals in creative and effective ways. Develops advanced concepts, techniques, and standards based on professional principles and theories. Viewed as expert in field within the Laboratory. Works on unusually significant, unique or complex issues, provides solutions that are highly creative and where analysis of situations or data requires an evaluation of intangibles. Has impact on success of future concepts, products or technologies. Works under consultative direction toward predetermined long-range targets. Assignments are often self-initiated. Virtually self-supervisory. Uses independent judgment for determining course of action to accomplish objectives. Uses wide latitude in the methods, techniques and evaluation criteria for obtaining results.
Position requires experience in performing, monitoring, and reviewing planning and scheduling functions, including schedule development, control, and analysis, and cost engineering functions, including cost estimating, cost control, financial reporting systems, and cost analysis, in the field and the home office. Knowledge of supervision, personnel administration, and training of technical and non-technical personnel. Skilled in oral and written communication. Proficiency in using personal computer operating systems, including several basic software applications. Proficiency in using multiple discipline-specific software applications currently used. Knowledge of financial report systems and controller account codes, and understanding of controller instructions, which impact project controls (including project financial status reports and earned revenue determination data). Demonstrates an intermediate level of understanding of project controls general technical skills.
Knowledge of engineering and/or construction management customarily acquired over time through specialized instruction or practical experience. For positions also serving as a Control Account Manager (CAM), subject matter expertise and proven experience with project controls and/or project management, project budgets including cost estimating, cost control and cost analysis, project scheduling, implementation of corrective actions, developing and delivering detailed and accurate status reports and subject matter expertise and proven experience with engineering functions and principles required to understand and successfully implement and monitor technical projects. Expert level knowledge of Earned Value Management System (EVMS) tools and processes.