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Data Annotation Project Manager Jobs in Santa Fe, NM

... data and recommend process improvements to enhance efficiency and decision-making. - Support change management and governance activities, including Change Control Board (CCB) and Project Review Board ...

IT Project Manager 3

Los Alamos, NM

$107K - $126K/yr

Data Analyst We are an Equal Opportunity Employer and we do not discriminate based on race, color, religion, national origin, sex, disability, sexual orientation, veteran status or age.

Data Manager

Santa Fe, NM ยท On-site

$86K - $103K/yr

Write programs to analyze data in a complex data environment and advance cross-functional workforce planning projects through project management and consultative services. * Define system ...

Write programs to analyze data in a complex data environment and advance cross-functional workforce planning projects through project management and consultative services. Define system requirements ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Project management skills. EEO Statement Maximus is an equal opportunity employer. We evaluate ...

Project Controls

Los Alamos, NM ยท On-site

$100K - $220K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... Manage complex schedules using Primavera P6. * Communicate with customers on status updates ...

Project Controls

Los Alamos, NM ยท On-site

$100K - $220K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... Manage complex schedules using Primavera P6. * Communicate with customers on status updates ...

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Data Annotation Project Manager information

See Santa Fe, NM salary details

$16

$56

$78

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

As of Jul 14, 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 using tools like labeling platforms and project management software.

Does data annotation actually pay?

Data annotation project managers oversee tasks where annotators are paid for labeling data used in machine learning. The pay for annotators varies depending on the platform, project complexity, and experience, with many earning hourly wages or per-task rates. The role of a project manager involves coordinating these efforts and ensuring quality, often with a salary or contract-based compensation.

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.

How hard is it to get hired by data annotation?

Getting hired as a data annotation project manager typically requires relevant experience in project management, familiarity with annotation tools, and strong organizational skills. The role often involves coordinating teams and ensuring quality standards, with some positions requiring certifications or prior experience in data labeling environments. Competition varies depending on the company and location, but demonstrating technical knowledge and management ability can improve chances of hiring.

What is the salary of data annotation manager?

The salary of a Data Annotation Project Manager typically ranges from $60,000 to $100,000 annually, depending on experience, location, and company size. They often oversee teams using annotation tools and ensure quality standards are met in data labeling projects.

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:
Project Manager

Full-time

Retirement, PTO

Re-posted 6 days ago


Job description

IEM is looking for a Full Time- Project Manager who is ready to develop and execute a comprehensive program strategy to achieve the goals of a state's Rural Health Transformation Program (RHTP). We are looking for a detail oriented, knowledgeable, and flexible project manager who will work with IEM teams under the direction of the client promoting operational change, standing up new processes, and integrating existing state systems.
Primary Location:
  • Live within the state of New Mexico.
  • Work will take place either in the field, in an office environment, or from a personal location and will depend on the need of the project.

Travel Requirements:
  • This position will require travel to complete work assignments or attend meetings.

Essential Functions:
  • Manage the implementation of RHTP projects / program as determined by the state, including day-to-day program governance and oversight of the grant. This includes issue escalation, recommendations and decision support to state leadership.
  • Monitor project timelines, budgets, and performance metrics to ensure successful delivery and compliance with all federal and state funding and grant management guidelines. Identify risks, propose mitigation strategies and prepare the projects for audit readiness from the beginning.
  • Coordinate with internal and external stakeholders to align project activities with program objectives and funding requirements.
  • Collaborate with state leadership and community partners (as needed) to enhance program effectiveness and sustainability.
  • Lead a team of project staff (coordinators / analysts, etc.) to support the execution of program activities and deliverables.
  • Prepare and present program updates and reports to key stakeholders, including progress reports, budget analysis, and impact assessments.
  • Evaluate program outcomes and impact on rural health systems / programs / infrastructure in the state.
  • Remain flexible and available to operate within the dynamic needs of a multi-year project that may evolve and require additional or different efforts.
  • Collect, organize, and analyze quantitative and qualitative program data (including grant expenditure rates, population health indicators, and service-utilization metrics) to evaluate project performance against established benchmarks and inform evidence-based recommendations to state leadership.
  • Interpret statistical reports, dashboards, and data visualizations produced by internal analysts or external evaluators, translating findings into actionable insights for non-technical stakeholders and incorporating those insights into program strategy adjustments.
  • Apply basic statistical methods (e.g., descriptive statistics, trend analysis, variance analysis) to monitor key performance indicators, validate data integrity in grant reporting, and support audit-readiness documentation with defensible, data-driven narratives.

Minimum Qualifications:
  • Degree: Bachelor's degree in a relevant field, such as public health, public administration, etc.
  • Experience: Ten (10) or more years in health project / program administration and grant management, preferably at the local, tribal, or state government level(s).
  • Leadership: Five (5) or more years of supervisory experience.
  • Experience and Degree Substitution: An equivalent combination of experience and training that demonstrates the required knowledge, skills, and abilities necessary to effectively perform the duties and functions of this position may be considered in lieu of a degree.
  • Knowledge of and demonstrated experience with federal grant regulations and compliance requirements, particularly related to the Rural Health Transformation Program and/or state and other applicable federal grant funding requirements.
  • Strong leadership and team management skills to inspire and guide project teams towards program goals.
  • Excellent communication and stakeholder engagement skills to foster partnerships and collaboration.
  • Ability to prioritize and manage multiple projects simultaneously in a dynamic environment.
  • Analytical and strategic thinking abilities, grounded in data literacy and statistical reasoning, to identify opportunities for project improvement, measure program impact, and drive evidence-based innovation.
  • Demonstrated proficiency in data interpretation and basic statistical analysis, including experience working with datasets, performance dashboards, or analytical tools (e.g., Excel pivot tables, Tableau, Power BI, or equivalent) to support program evaluation and reporting.

Preferred Qualifications:
  • Degree: Master of Public Health, Master of Public Administration, or an advanced degree in a related field.
  • Demonstrated work with Centers for Medicare & Medicaid Services (CMS) programs, rural health initiatives, or large-scale federal health grants.
  • Experience with Statistical software or data analysis platforms (e.g., SPSS, SAS, R, Stata, or advanced Excel functions) and familiarity with health-related data sources such as CMS datasets, HRSA reporting systems, or state health information exchanges.

Additional Information:
  • Office Locations: Often, these offices are either owned by the client we work with or by IEM. All candidates are expected to follow any rules and regulations of the office in which they are required to work for that project.
  • Personal Office / At Home Locations: All personal office / at home work environments require the ability to maintain minimum Internet speeds of 25 Mbps upload and 3 Mbps download, as well as a ping rate of 100 ms or less during working hours, regardless of the type and number of devices using your Internet connection. You must also have account privileges and access to your Internet service provider account during working hours for the purposes of maintaining the Internet connection, if needed.

Benefits and more:
  • Salary will be based on experience and location: $95,000 - $125,000
  • 10 paid Holidays
  • Vacation Pay
  • Sick Pay
  • 401 (K) plan with matching
  • Company paid STD and LTD

Equal Employment Opportunity. All IEM employment decisions, including recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment, if necessary, are made without regard to an individual's race, color, religion, creed, sex (including sexual orientation, gender identity, and gender expression), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, pregnancy (including childbirth and related medical conditions), marital status, military or veteran status, citizenship or immigration status, or any other characteristic protected under applicable law.
Reasonable Accommodation. IEM is committed to providing reasonable workplace accommodations for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please email IEMhumanresources@iem.com with specific details about the requested accommodation. All accommodation requests are reviewed case-by-case in compliance with applicable law.