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Entry Level Remote Machine Learning Jobs in Sangaree, SC

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Salary: $55,000-$65,000 Entry-Level Financial Analyst Were looking for an Entry-Level Financial ... This is a highly collaborative, learning-focused role with a clear path for growth as skills and ...

Entry-Level Financial Analyst We're looking for an Entry-Level Financial Analyst to join our ... This is a highly collaborative, learning-focused role with a clear path for growth as skills and ...

Entry Level Remote Machine Learning information

See Sangaree, SC salary details

$11

$15

$19

How much do entry level remote machine learning jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for entry level remote machine learning in Sangaree, SC is $15.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $17.21 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Remote Machine Learning vs Entry Level Remote Data Science?

AspectEntry Level Remote Machine LearningEntry Level Remote Data Science
Required CredentialsBachelor's in CS, Math, or related; familiarity with ML frameworksBachelor's in CS, Statistics, or related; knowledge of data analysis tools
Work EnvironmentRemote, collaborative teams, coding-focusedRemote, data analysis, reporting, and visualization tasks
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

Entry Level Remote Machine Learning roles focus on developing algorithms and models using programming skills, while Entry Level Remote Data Science positions emphasize analyzing data, creating reports, and deriving insights. Both roles often require similar educational backgrounds and are common in tech-driven industries, but they differ in daily tasks and focus areas.

Infographic showing various Entry Level Remote Machine Learning job openings in Sangaree, SC as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $32,891 per year, or $15.8 per hour.
Geospatial Analyst

Geospatial Analyst

Lynker Corporation

Charleston, SC • On-site, Remote

$55K - $72K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview
Seeking a Geospatial Analyst to support the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) by performing processing, quality assurance, documentation, and management of remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in the Charleston, SC area and will be able to work in a hybrid capacity.
The successful candidate will serve as a geospatial analyst in OCM's Science and Geospatial Services Division supporting NOAA's Coastal Change Analysis Program (C-CAP) activities. The position will be focused primarily on land cover data production, quality assurance reviews, and analyses but may also include work with imagery, Lidar data, and Digital Elevation Models. This role is contingent upon contract award.
Responsibilities
Core responsibilities of the Geospatial Analyst will include, but are not limited to:
  • Quality assurance of land cover datasets at multiple resolutions
  • Assisting with direct land cover data classification and development using multiple sources of input data
  • Compiling, processing, and analyzing a variety of data types, including imagery, elevation, and/or other geographic based ancillary data, in both raster and vector formats
  • Possible produce derived products, such as maps, statistics, and other information.
  • Works as part of a team and independently to achieve day-to-day objectives and operational results for project deliverables.
  • Responsible for major project components or processes, including managing complex, automated tasks; assisting with publishing and managing map services; writing metadata records; and the development of derivative products (ex. Storymaps, web apps, etc.)

Qualifications
The Geospatial Analyst should have the following:
  • Master's degree with two plus years of related experience in geography, remote sensing, GIS, or related field OR a Bachelor's degree with six plus years of related experience
  • Some experience or general knowledge of land cover mapping methods, elevation data, orthoimagery analysis, and change detection
  • Some experience or general knowledge with both raster and vector-based datasets on desktop and web-based platforms
  • Some experience or general knowledge of geospatial analysis tools such as (or similar to) ArcGIS Pro, Erdas Imagine, QGIS, Global Mapper, Trimble eCognition, FeatureAnalyst, etc.
  • Strong communication and organizational skills and excellent interpersonal skills
  • Self-starter with ability to work in a small team environment without direct day-to-day supervision
  • Ability to follow standard operating procedures and guidance documentation

The ideal Geospatial Analyst will have the following:
  • Knowledge or experience related to land cover classification using machine learning or more advanced deep learning artificial intelligence
  • Knowledge or experience with wetland mapping
  • Knowledge of Python scripting language required for automation of GIS tasks
  • Processing and managing data and map services in the cloud
  • Knowledge of coastal management and coastal processes
  • Knowledge of coastal hazards and inundation mapping

About Lynker
Lynker is a growing, employee owned, small business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.
Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.