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Hourly Remote Data Annotation Jobs in New Mexico

$18.10/hr

Handles sensitive information and personal data with discretion including prescriptions, personal ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

$14.75 - $19.50/hr

REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ... The hourly range listed is an estimate. Pay at Cardinal Health is determined by multiple factors ...

New

This position is primarily remote. However, the employee may be required to occasionally report to ... The Organizer will primarily work on campaigns to fight factory farms and data center development ...

Showing results 41-48

Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What are popular job titles related to Hourly Remote Data Annotation jobs in New Mexico?

For Hourly Remote Data Annotation jobs in New Mexico, the most frequently searched job titles are:

What cities in New Mexico are hiring for Hourly Remote Data Annotation jobs?

Cities in New Mexico with the most Hourly Remote Data Annotation job openings:

Research Scientist Associate

New Mexico state Universoty

Las Cruces, NM • On-site, Remote

Full-time

Posted 21 days ago


New Mexico State University rating

7.3

Company rating: 7.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

338th of 620 rated colleges and universities


Job description

Research Scientist Associate

Apply now Job no: 503900
Work type: Staff Full-Time
Location: Las Cruces
Categories: Staff

Department Contact: Carolina Mijares, (575) 646-4337 & mijares@nmsu.edu

Internal or External Search: External - Open to all applicants

Advertising Summary: The New Mexico Water Resources Research Institute (NM WRRI) at New Mexico State University (NMSU) invites applications for a Research Scientist, Associate - Hydrologic Modeler to join an interdisciplinary team addressing critical water resource challenges across New Mexico and the Southwest.
This position offers an exciting opportunity to develop and apply advanced hydrologic models that improve understanding of water availability, movement, and management under arid and semi-arid environmental conditions. The successful candidate will collaborate with scientists, engineers, geographers, agricultural producers, water managers, Tribal Nations, acequia associations, irrigation districts, and other community partners to develop innovative, science-based solutions that support resilient water resources and agricultural systems.
The Research Scientist, Associate will contribute to projects funded by the Bureau of Reclamation, National Science Foundation, U.S. Geological Survey, USDA, and other state and federal sponsors. Research activities include surface water, groundwater, agricultural water management, water budgets, climate impacts, ecosystem processes, and integrated water resource management. Working within an interdisciplinary research environment, the successful candidate will develop and apply hydrologic models, analyze environmental and geospatial datasets, and create decision-support tools that inform water management and policy across New Mexico and the Southwest.

Position Details

Position Title: Research Scientist Associate

College/Division: Research, Creativity and ED

Department: 470500-WATER RESOURCES RESEARCH INSTITUTE

Location: Las Cruces

Offsite Location (if applicable):

Target Hourly/Salary Rate: Commensurate with qualifications

Appointment Full-time Equivalency: 1.0

FLSA Status: Exempt

Bargaining Unit Announcement: This is NOT a bargaining unit position with American Federation of State, County & Municipal Employees (AFSCME).

Contingent Upon Funding: Contingent upon funding

Standard Work Schedule: Standard (M-F, 8-5)

If Not a Standard Work Schedule: 

Job Duties and Responsibilities: Collaborate closely with the Principal Investigator and interdisciplinary project teams to develop and apply hydrologic models that support research, planning, and water resource management.
Primary responsibilities include, but are not limited to:
Lead and coordinate assigned modeling and research activities, project milestones, and technical deliverables.
Develop, calibrate, validate, and apply hydrologic and water resources models to evaluate water availability, management, and the impacts of drought, climate variability, and land use change.
Conduct quantitative analyses of hydrologic, climatic, environmental, and geospatial datasets using GIS, remote sensing, and statistical methods.
Integrate modeling results with field observations, monitoring data, and interdisciplinary research to improve understanding of water systems and management strategies.
Develop maps, visualizations, and decision-support tools that communicate complex scientific information to researchers, resource managers, stakeholders, and policymakers.
Collaborate with faculty, agencies, agricultural producers, tribes, pueblos, acequia associations, irrigation districts, and other partners to address regional water resource challenges.
Mentor graduate and undergraduate students participating in research activities.
Prepare technical reports, peer-reviewed publications, and presentations for scientific, agency, and stakeholder audiences.
Assist with proposal development and contribute to expanding NM WRRI's externally funded research portfolio.
Preferred Qualifications
Hydrologic and water resources modeling
Surface water and groundwater systems
Water budget analysis
GIS and geospatial analysis (ArcGIS Pro or similar)
Remote sensing and spatial data analysis
Scientific programming (Python, MATLAB, etc.)
Statistical analysis and model evaluation
Climate and environmental data analysis
Decision-support systems and scientific visualization
Model calibration, validation, sensitivity analysis, and uncertainty assessment
Special Requirements of the Position
The successful candidate will be expected to:
Develop collaborative research partnerships with faculty, agencies, and community stakeholders.
Participate in the preparation and submission of at least three external funding proposals annually.
Publish at least three peer-reviewed scholarly publications annually.
Present research findings at professional meetings, workshops, and stakeholder meetings.
Travel as needed to support research activities, field investigations, and project collaboration.

Qualifications

Required Education and Experience: 
Associate's Degree + 7 years of relevant experience or a Bachelor's degree + 5 years of relevant experience.

Equivalent Qualifications: 

Preferred Qualifications: 
Preferred Education: Bachelor's degree in a related field
Preferred Experience: Five (5) years of professional experience related to the job duties and responsibilities as outlined

Special Certification/Licensure: 

Working Conditions and Physical Effort

Environment: Work is normally performed in a typical interior/office work environment.

Physical Effort: Light physical effort. Effort applies to no more than two (2) hours per day.

Lifting Requirements: Requires handling of average-weight objects up to 10 pounds or some standing or walking.

Risk: No or very limited exposure to physical risk.

Advertised: 30 Jul 2026 Mountain Daylight Time
Applications close: 20 Aug 2026 Mountain Daylight Time

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