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Internship Remote Data Annotation Jobs in Monroe, NC

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Internship Remote Data Annotation information

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$11

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$39

How much do internship remote data annotation jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship remote data annotation in Monroe, NC is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.74 per hour, depending on experience, location, and employer.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.

What does a remote data annotation intern do, and how is performance evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What skills and qualifications are needed to thrive as a remote data annotation intern?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

What is the difference between Internship Remote Data Annotation vs Data Labeling Specialist?

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

What job categories do people searching Internship Remote Data Annotation jobs in Monroe, NC look for?

The top searched job categories for Internship Remote Data Annotation jobs in Monroe, NC are:

What cities near Monroe, NC are hiring for Internship Remote Data Annotation jobs?

Cities near Monroe, NC with the most Internship Remote Data Annotation job openings:

Internship Remote Data Annotation jobs near you

2027 Resource Planning and Biometrics Intern

AMERICAN FOREST MANAGEMENT INC

Charlotte, NC • On-site, Remote

$18 - $22/hr

Internship

Posted 3 days ago

New

Job description

American Forest Management (AFM) is seeking a motivated and curious Resource Planning and Biometrics Intern to join the Resource Planning and Biometric Services (RPBS) group at AFM. RPBS is responsible for providing forest planning services which support client land management and forest investment decisions, as well as biometric services necessary for planning projections, inventory analysis, and data systems. This position will be based at our Headquarters in Charlotte, NC or can be remote based and offers a unique opportunity to apply cutting-edge data science methods to real-world forestry challenges. If you’re excited about working with big data, collaborating with some of the largest forestland holders in the country and producing deliverables that matter please consider applying. 

As part of our 2027 Internship Program, interns will also have the exciting opportunity to compete for a $2,500 scholarship. This scholarship will be awarded to an intern who demonstrates outstanding performance, initiative, and alignment with our company values throughout the program. It’s our way of recognizing and rewarding the hard work, creativity, and dedication of our interns while investing in their continued growth and success.

Primary Duties and Responsibilities:

  • Apply advanced analytical tools such as R and Python to manipulate, analyze, and visualize complex forest and remotely sensed data. 
  • Work with standard data structures and formats (Postgres, SQL, Excel, etc.) to clean, organize, and process large datasets. 
  • Develop and test forest growth models, predictive analytics, and decision-support tools to enhance forest management strategies. 
  • Automate complex processes using R, Python, and other relevant platforms. 
  • Integrate geospatial data (e.g., Sentinel-2, LiDAR) into forest planning and/or forest growth models. 
  • Collaborate with experienced biometricians and forest planners to address complex forest management challenges. 
  • Build creative and effective solutions that drive better decisions in forest inventory, silviculture, harvesting, and growth modeling. 
  • Share insights and tools with the team to build collective capacity. 

Qualifications:

  • Bachelor’s degree in forestry, geospatial sciences, or a related field
  • Working toward a master's degree (or higher) preferred, ideally in biometrics or a quantitative forestry discipline
  • Experience with forest systems (metrics and silviculture) at a bachelor's level or higher
  • Strong programming skills in R and/or Python (bonus: if you also work in derivatives such as Jupyter Notebooks, or R Shiny)
  • Solid understanding of statistics and quantitative methods. Ability to manage large, messy datasets
  • Familiarity with GIS software (QGIS, ESRI), forest growth and yield models (Forest Vegetation Simulator, FVS), or linear programming software (Woodstock Optimization Studio)
  • Strong problem-solving skills and creativity 
  • Growth mindset
  • Ability to work in teams and collaborate with various groups across AFM 
  • Professional integrity, someone who does the right thing even when no one is looking
  • Ability to work both independently and as part of a team

Additional Perks:

  • Exposure to complex forest management data and real-world decision-making 
  • Opportunity to work with a team of forestry professionals who are passionate about sustainable management
  • The chance to make a real impact on how forests are managed

Compensation: 

  •  $18-22 an hour

Additional Information: 

  • Office Location – Charlotte, NC or remote
  • AFM will not provide financial assistance with housing
  • Flexible start and end date
  • This position is not eligible for employer-sponsored work authorization. Candidates must be authorized to work in the U.S. at the time of application

Apply by November 1st, 2026, to launch your forestry career with American Forest Management!

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, or national origin.

Apply