Best freelance GIS work online

Introduction
I would like to request a quote for the development of a python script that converts a zipped folder containing an xml file into a shapefile.

Current situation
KLIC is a database from the Netherlands that contain all the cables and pipe in the country. The user can buy the data for a specific project area. Afterwards the user gets one or multiple zipped folders containing de KLIC data for a specific area. Currently the user is using tooling inside the AutoCAD software the load the data from the KLIC and convert it into shapefiles.

Script
A python script must be made where the user can select a zip folder containing the KLIC data including the XML file, and the tool converts this into a shapefile with the same structure as the shapefiles in the attachment.

Attachment
Attachment contains multiple KLIC datasets and their converted shapefiles. Furthermore, information about the XML schema can be found here: https://github.com/kadaster/klic-win/tree/master/Actualiseren/Documenten

Skills: Python, XML, GIS, Scripting

Digitization (Map correction and new layer)
Telangana state in Andhra Pradesh is now composed of 33 districts, but existing base maps in Shape format have 31 districts.
This job includes two tasks:
1. Add two new districts of Mulugu and Narayanpet to the existing polygon map
2. Create a new point layer of the 33 district headquarters
Specifications:
• Both maps should be in shape format with the name of district and headquarters
• Spelling of district and headquarters should strictly follow that of the Wikipedia listing
Materials provided:
1. Original shape file of 31 districts (appended)
2. Published maps of the new district boundaries and headquarters (appended)
3. List of district headquarters from Wikipedia (appended)

Skills: GIS Software, QGIS, GIS, ArcGIS, Digital Mapping

Description:
We are looking for an experienced GIS and Python developer to build a script that integrates field-surveyed stream cross sections (XSs) with DEM-derived cross section profiles.

Background
We work with stream centerline data where XSs are spaced regularly (e.g., every 2,000 ft), but field surveys are only conducted for a subset of these XSs (e.g., every 20,000 ft). The goal is to use the available survey data to improve DEM-derived XS profiles by adjusting surveyed XSs and interpolating adjustments for nearby non-surveyed XSs.

Input Data:
- Surveyed XSs: Point shapefiles representing surveyed cross sections. Each point includes elevation and a survey code.
- All XSs: Polyline shapefiles representing all cross sections along the stream, whether surveyed or not.
- DEM: Used to generate elevation profiles for each XS.

Task Requirements:
1. DEM Sampling:
- For each XS polyline, generate a cross-section profile (array of distances and elevations) using the DEM (This step is simple, and a routine is already created for it that can be shared if needed).

2. Survey Integration:
- For surveyed XSs, extract the profile from survey point shapefiles and integrate it with the DEM-derived profile.
- For non-surveyed XSs, identify the nearest surveyed XS and use its correction pattern to adjust the DEM-derived profile.

3. Profile Output:
- For each XS, generate and store the adjusted profile as a list of distances and elevations.

4. Reporting:
- Create an Excel spreadsheet summarizing, for each XS:
- XS ID or name
- Original DEM-derived profile (distances & elevations)
- Adjusted profile (distances & elevations)
- Whether the XS was surveyed or interpolated
- Plot for each XS profile
- Plot of elevation along streamline

Deliverables:
- Fully documented Python code.
- Excel report as specified.
- Basic instructions to run the script on a local machine (e.g., list of required packages).

Ideal Skills:
- GIS programming with Python (e.g., using geopandas, rasterio, shapely, pyproj, etc.)
- Experience with DEM data and elevation profiling
- Working with shapefiles and geospatial transformations
- Familiarity with Excel report generation in Python (e.g., openpyxl or pandas)

Please include in your proposal:
- Relevant project examples or code samples
- Estimated timeframe for completion
- Any questions or assumptions you’d like to clarify

Skills: Automation, Python, GIS

About Georama:
Georama supports infrastructure projects with advanced GIS solutions fully based on the ArcGIS platform. We are currently expanding our GeoPortal and are looking for a skilled GIS Developer to help us build intelligent, user-friendly tools and workflows.

Job Description:
As a GIS Developer, you will work on enhancing and expanding the GeoPortal of Georama. The work will be diverse and technically challenging, involving the development of ArcGIS Notebooks, custom widgets for Experience Builder, and ArcGIS Pro add-ins.

Key Responsibilities:

- Develop and maintain ArcGIS Notebooks for data analysis and automation
- Build and deploy custom widgets for ArcGIS Experience Builder
- Create ArcGIS Pro add-ins to enhance desktop workflows
- Provide documentation and support for delivered solutions

Required Qualifications:

- Proven experience with the ArcGIS platform, including both ArcGIS Pro and ArcGIS Online
- Hands-on experience working with a Developer License from Esri
- Demonstrated ability to develop custom widgets for ArcGIS Experience Builder using JavaScript and React
- Proficiency in Python for GIS scripting (ArcPy, ArcGIS API for Python)

Preferred Qualifications:
- Experience with ArcGIS Pro SDK (.NET) for creating custom add-ins

Skills: ArcGIS, GIS, ArcGIS Online, Geospatial Data, Python

We are seeking a skilled professional with extensive experience in completing maps using ArcGIS Pro. The ideal candidate should be proficient in spatial analysis, cartography, and data visualization. You will be responsible for creating high-quality maps and ensuring accurate representation of data. If you are detail-oriented and have a strong portfolio showcasing your mapping abilities, we would love to hear from you. Please include samples of your previous work in your application.

Skills: ArcGIS, GIS, QGIS, Digital Mapping

We are seeking a skilled professional to create downstream inundation maps for a Dam Emergency Action Plan for our irrigation ponds in North Carolina USA. The candidate should have experience in hydrology and mapping, capable of utilizing GIS software to produce accurate and reliable inundation models. The final deliverables will be critical for emergency preparedness and risk management associated with the dam operations. If you have a strong background in environmental science or a related field, we would love to hear from you.

The guidelines set by the state are listed below:

Inundation maps should be developed using an engineering computer model (e.g., HEC-RAS Unsteady Model, or other two-dimensional hydraulic analysis model, etc.), as referenced in FEMA P-946, Federal Guidelines for Inundation Mapping of Flood Risks Associated with Dam Incidents and Failures. The HEC-RAS models are available to anyone at no cost from the US Army Corps of Engineers at: https://www.hec.usace.army.mil/software/hec-ras/.

o The method used should include labeled two-foot interval topographic contours.

o All electronic files and models must be submitted each time the EAP is submitted.

o The inundation map should depict both the Sunny-Day Breach (simulating a piping failure with the reservoir at normal pool elevation) and the Rainy-Day Breach (simulating an overtopping failure at maximum pool elevation during passage of the SDF) inundation zones. The two scenarios may be shown on the same map or set of maps using different colors.

o Note that using the 100-year flood elevations to determine “at risk” structures is not an appropriate methodology to satisfy this requirement.

o The inundation map must clearly show all impacted structures, roads, railroads, and other well-known features (located within the inundation zone extent) and reference each on Residents/Business/Roads/Infrastructure at Risk (Table 5.1).

o Provide all supporting methodology used to develop the inundation map including: methodology used, assumptions made, modeling software used (if any), electronic files of the models, associated inputs, date of creation, legend table, compass, topographic contours, scale size, and direction arrows.

Skills: Hydrology, Drainage

We are seeking a skilled freelancer to assist us in overlaying four cities onto an existing map developed in Azure. Each city should have a radius of 250 miles accurately represented on the map. The ideal candidate should have experience working with Azure maps and GIS tools, ensuring precise implementation. Attention to detail and the ability to work independently will be crucial for successful completion. If you have a passion for mapping solutions and the technical expertise in Azure, we invite you to apply for this project.

Skills: Microsoft Azure

Project Overview:

We are seeking a skilled GIS and remote sensing specialist to support a groundwater mapping for Togo. The goal is to assess groundwater storage and recharge potential on a farm site using QGIS and GRACE satellite data, and to generate actionable hydrogeological insights for water drilling

Scope of Work:
Set up a complete QGIS project for hydrogeological analysis.
Download and process GRACE Mascon data for the region.
Download and integrate relevant SRTM DEM elevation and slope data.
Delineate watersheds and analyze topography for groundwater flow modeling.
Identify potential groundwater recharge zones.
Extract and visualize GRACE time series data for the area.
Clip and overlay all data to a farm boundary shapefile (to be provided).
Provide visual maps (PDF and QGIS formats) and a brief technical report with findings and recommendations.

Deliverables:
QGIS project file (.qgz) with all data layers organized. Will provide a file containing the geology mapping
Clipped and processed GRACE NetCDF or raster layers.
Groundwater recharge potential map.
Slope, contour, and hydrological flow maps.
Time-series graphs of groundwater storage trends (GRACE).
Final report (2–4 pages) explaining the methodology, data sources, and results.

Guidance (optional video or PDF) for project handover, describing how to use the tool, and possible updates in the future.

Requirements:
Background in earth sciences, geography, environmental engineering, or hydrology
Proven experience with QGIS, hydrogeology, and remote sensing, with experience in groundwater or environmental mapping
Strong knowledge of GRACE satellite data and NetCDF processing.
Experience with terrain analysis (slope, contours, watershed).
Ability to communicate in clear English
Familiarity with West African geography is a plus.

Skills: QGIS, Geospatial Data, Data Visualization, Digital Mapping, Python, R

Project Description:

We are looking to develop a news website that focuses on geolocated articles. Each news article will have an associated location and be displayed on an interactive map (Google Maps or ArcGIS). The site will initially focus on India, with plans to expand globally later.

Key Features:
1. Frontend (Main Page):
Full-screen interactive map centered on India

Each article shown as a marker on the map

Use marker clustering to group multiple nearby incidents. On zoom, individual markers should appear.

Clicking a marker should show article title, short description, and a link to full content

Display a list or section of recent news articles below or beside the map

Language support for articles (user can submit articles in their own language)

2. Admin Panel:
Secure login for admin

Form to add/edit/delete news articles with:

Title

Description

Language

Latitude/Longitude

Date

Show a table of all articles with filters/search

Code should be clean, well-commented, and easy to expand

Other Requirements:
Responsive design for mobile and desktop

Clean UI.

Backend logic should manage marker density (e.g., within a defined radius if needed in future)

Optional: multilanguage support toggle or filter

Skills: GIS, ArcGIS, PHP, Web Development, CSS, HTML, JavaScript, Google Maps API, Python, Data Scraping

Job Description

We are a company specialized in satellite imagery and artificial intelligence for mineral exploration.
We are looking for a freelance research assistant to help us identify and qualify junior mining companies operating in West Africa, East Africa, and Central Asia. The target companies must be in the exploration phase (non-producing), ideally with licenses listed on official mining cadastre systems.

This is a high-value B2B lead generation assignment, requiring precision, manual research, and cross-verification from multiple sources (mining cadastres, regulatory sites, LinkedIn, company websites, and press releases).

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Objective

Build a high-quality, structured lead database of 200–250 junior mining companies or license holders, with verified contact information for decision-makers (CEO, VP Exploration, Exploration Manager, etc.).

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Geographic Focus
• West Africa: Mali, Burkina Faso, Guinea, Senegal, Ghana, Côte d’Ivoire, Niger
• East Africa: Ethiopia, Tanzania, Kenya, Sudan, Uganda
• Central Asia: Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, Turkmenistan

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Data Sources to Use
• Mining cadastres (GIS portals or PDF maps)
• Public company registries: SEDAR+, ASX, AIM, CSE, Companies House
• Company websites & investor presentations
• LinkedIn (for direct contacts)
• Hunter.io, Apollo, Snov.io (for email verification)
• Google search, press releases, exploration forums

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Deliverables

An Excel or Google Sheet with the following fields:

Field: Description
Company / Entity Name :Official name of company or license holder
Country:Country of operation
License ID: As shown in cadastre
License Status: Active, pending, expired
License Type: Exploration, reconnaissance, prospecting
Project Name or Region: If disclosed
Commodity :Gold, copper, lithium, etc.
Company Website: If available
Contact Name: CEO, VP Exploration, or equivalent
Contact Title: Exact job title
Professional Email: Verified email address (not generic)
LinkedIn Profile: Optional but useful
Phone: Optional
Last Press Release:Link to latest news, if any
Notes:IPO status, funding round, JV partners, etc.



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Example Cadastre Portals
• Burkina Faso – BUMIGEB (www.bumigeb.bf)
• Ghana – Mineral Rights GIS (https://www.gis.mlgrd.gov.gh)
• Ethiopia – MoM Cadastre (https://miningcadastre.mom.gov.et)
• Tanzania – Mining Commission Portal (https://portal.madini.go.tz)
• Uzbekistan / Kazakhstan – National geological surveys, KAZRC / GKZ
• Others via government mining ministries or published license lists

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Freelancer Profile
• Experience in mining or natural resource research preferred
• Strong skills in lead generation and contact validation
• Able to read and interpret online cadastres and GIS viewers
• Detail-oriented and organized (no automated scraping accepted)
• Comfortable using multiple sources and verifying data manually
• Fluent in English

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Budget & Timeline
• Budget: $100 USD fixed
• Expected output: 200 qualified leads
• Delivery time: 2-3 calendar days
• Bonus: up to $20 for early delivery or exceptional data quality

To Apply

Please include:
1. A short description of your relevant experience (especially mining-related lead generation or cadastre/GIS work).
2. Examples of similar past projects (with screenshots if possible).
3. Tools you plan to use for research and email verification.
4. Estimated time to complete the task.

Skills: Mining, Lead Generation

I have a file with polygons (circles) with radius 500 meters. There are 24 circles. I need someone to open this file in Google Earth Desktop Pro and determine whether there are houses / human structures within the circled area. This is a manual review using satellite imagery -- I want you to look and judge whether there are houses, structures, or a village in the area.

The circles denote rural areas in tropical Africa, so structures may be difficult to see (they may be circular; they may be the same color as surrounding vegetation). I will provide some resources to help with this process, including datasets that identify buildings automatically. These can be used to GUIDE your review, but you must review the area on the map manually and at a high resolution.

It generally takes between 2 and 5 minutes to review each circle. I have many files with 24 circles each; I expect each file of 24 circles will take around 2 hours to complete. I will hire several workers, with the option to provide additional work for those who display high accuracy and are interested in more work.

I have provided a sample file so you can see what the work consists of.

Process for Setup:
1. Open Google Earth Desktop Pro
2. Unzip the provided shapefile
3. Drag the provided shapefile into Google Earth
4. Change the color / opacity of the circle so you can see the satellite imagery below it.
5. Drag additional useful shapefiles into Google Earth (Google Buildings dataset, which I will provide)

Process for Each Circle:
1. Zoom in on the first circle and look closely for any buildings.
2. When you are done, click on the circle and note the value uw_counter.
3. In the provided google sheet, find that uw_counter value. Enter the answer (Yes, No, Unsure) next to the correct value of uw_counter.

This work needs to be completed within the next 24 hours. So workers who are accurate and work efficiently will be hired for additional work.

Skills: Data Entry, Google Earth, GIS

We are a company specializing in topographic surveys, mapping, GIS, and engineering services. We’re currently looking to collaborate with a freelance Junior Land Surveyor or Topographic Technician to help us transform RAW survey data into accurate floorplans for apartments and houses.

We will provide the RAW file containing all point data captured on-site using our Leica equipment, and we need someone to process this data and produce professional floorplans that can be shared with architects, interior designers, and real estate agencies.

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Software Requirements:
• Autodesk AutoCAD
• Covadis (Mensura experience is also a plus)

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Key Responsibilities:
• Interpret RAW point data from Leica field equipment and create clean, accurate floorplans.
• Prepare files suitable for professional use in architecture, interior design, and real estate.
• Follow project guidelines and ensure drawings are consistent and well-organized.
• Communicate effectively with our team to ensure quality and timely delivery.

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Required Skills and Experience:
• Educational background in geomatics, land surveying, or drafting.
• Experience (including internships) in floorplan creation or technical drawing based on topographic data.
• Proficient in:
• AutoCAD
• Covadis
• Basic knowledge of Revit is a bonus
• Familiarity with tools such as total stations, GPS, and laser scanners.
• Strong attention to detail and ability to deliver high-quality work independently.
• Comfortable working with survey data and converting it into usable CAD drawings.

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Nice to Have:
• Experience with property surveys and local regulations.
• Additional language skills are appreciated.

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Why Collaborate With Us:
• Gain experience working on real residential floorplan projects.
• Flexible freelance arrangement with the potential for ongoing work.
• Supportive, professional communication and clear project guidelines.

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How to Apply:

Please include the following in your application:
• A brief intro outlining your relevant experience.
• Your resume or CV.
• Samples of previous floorplan or CAD work.
• Your availability and hourly or per-project rate.

We welcome applications from freelancers of all backgrounds and locations and are committed to a fair and collaborative working relationship.

Skills: Autodesk AutoCAD, Civil Engineering, Drafting, Autodesk Revit

Validate and integrate a shapefile of land polygons with two related datasets — ownership and lease records — to enable spatial queries in ArcGIS about leasing status and party ownership.

Must be completed ASAP

Skills: ArcGIS, Data Analytics, Data Visualization, Geocoding, GIS, Python, Data Analysis

I am seeking a skilled freelancer to create a visual mapping of registration and voter history data for District 1 in Orange County Virginia. There are approximately 3000 records. I already possess the data lists that include the names, voter history, and street address.

I am seeking someone proficient in data visualization to put this information on a map. The goal is to create "walking" maps so I can knock on doors and speak with people. As I go from area to area I need to also be able to print the names and addresses of the areas I am going to visit so after I speak with someone I can write notes about our conversation.

This could be done in any GIS tool that allows web access so I can go in when I need to, create a "walking map" and print the associated names and addresses. It would also be great to be able to mark the homes I have visited so they can be visualized as well.

Relevant skills:
- Data visualization
- GIS mapping software (e.g., ArcGIS, QGIS)
- Excel or CSV data manipulation
- Attention to detail
- Experience with voter registration data

Skills: Data Visualization, Presentations, Graphic Design, GIS, Google Maps, ArcGIS Online

We are seeking a skilled data analyst to pull traffic counts, demographics, household income, and market rent for various commercial property addresses across the USA. The ideal candidate will have experience in collecting and analyzing real estate data, as well as a strong understanding of market trends. Your insights will help us make informed investment decisions. Please include any relevant experience and tools you use in your proposal.

**Relevant Skills:**
- Data Analysis
- Market Research
- Real Estate Analytics
- Geographic Information Systems (GIS)
- Statistical Analysis
- Excel or Data Visualization Tools

Skills: Microsoft Excel, Data Analysis, Data Visualization, Financial Analysis, Data Mining

I am trying to create a colored Topographical Map of a plot of land. It is covered with Grass. I want to scan the area (250’x250’) with the Lidar on my iPhone. Then have have someone create the map (maybe in CloudComapre) send me the finished file along with a pdf of the map.

My end goal is to have a smooth field so I am trying to find all the low spots to fill in with soil. Even better if possible I want to have a reverse map also so I can calculate how much soil I will need.

Skills: Digital Mapping, QGIS, ArcGIS, GIS, Map Integration

Need every factor map used for each hazard map for example soil erosion hazard map rustle method , R ,K, LS, C, P.

Skills: Data Entry, GIS, ArcGIS, QGIS, Drone, Google Earth, Data Analysis, Topology Optimization, GIS Software, KML, Quality Control, Quality Assurance, Thematic Map

I'm completing a final StoryMap project for my college course. I need someone experienced with ArcGIS StoryMaps, who can work from my class content (readings, modules, rubrics) to create a finished project that meets my professor’s expectations. You must be able to follow academic instructions, use visuals/maps creatively, and reflect the key course themes. This is not just design—it's also content curation based on my coursework. The class is GEOG342: Geography of Wisconsin and the assignment is this, I will give all the other details when job is accepted.

Your assignment is to tell a short story, based on material covered in at least three of the four modules of the course, that involves at least three places in Wisconsin. Two examples (which you should not use for your own StoryMap, of course!):

A story that begins with a Native community in northern Wisconsin, shown on a map in a reading from Wisconsin's Past and Present for Module 2. That is the first place in your story. A lumber baron whose name you discovered in working on the Module 3 project bought land that had been taken from the same Native Nation, so the second place is where you found that lumber baron buying. The third place can be some place the logs cut from that land could have ended up. Or it could be Madison, where politicians argued over whether to eliminate the original state forest system after the logging era. (There are many connections you can make between places and events from this course, and all are fine for this assignment)
A story that begins with a glacial moraine or an area where Mollisols formed under prairie, and then to a township settled by German or Norwegian immigrants near that moraine or on those prairie soils. The final stop could be a nearby small city where some of those immigrants might have later moved.
Your story can be fairly simple and straightforward, and will be graded simply on completion of all the required parts, not on its accuracy or how well it's told. We mostly want you to appreciate the potential for StoryMaps as an effective way to communicate geographic stories of all kinds.

Skills: ArcGIS, GIS, Data Visualization, Digital Mapping, Critical Thinking Skills, Graphic Design

We are seeking a skilled web application developer to create an interactive mapping solution. The application should display the actual user position in real-time, overlaying a shapefile onto a map background. Ideal candidates will have experience with mapping libraries and GIS technologies. You will collaborate with our team to ensure seamless integration and functionality. The actual user position is coming from another application/service which handles the communication with the GPS receiver. The IPC between the GPS service and the web application is still to be defined. If you are passionate about geospatial solutions and have a knack for user-friendly interfaces, we would love to hear from you!

Skills: JavaScript, PHP, Web Application, API, HTML

Performans, izleyici geri bildirimi ve değerin adil şekilde yeniden dağıtılması üzerine kurulu, kullanıcı dostu ve özgün bir dijital platformun MVP’sini hayata geçirecek yaratıcı bir full stack geliştirici (React + Node/Firebase) arıyoruz.

Bu proje, sanatçıyı merkeze alan ve klasik sosyal medya gelir modellerinden farklı olarak doğrudan izleyici etkileşimiyle çalışan adil bir sistem öneriyor.

Bizim için sadece teknik yeterlilik değil, vizyon paylaşımı, iş birliği ruhu ve karşılıklı güven çok önemli. Projenin puanlama sistemi, ölçeklenebilir yapısı ve sanatsal bakış açısı büyük ölçüde hazır.

Ankara merkezliyiz. Eğer siz de buradaysanız yüz yüze tanışmak isteriz; fakat uzaktan çalışma da gayet uygundur. Uyum sağlanırsa gelecekte ortaklığa açık bir yapımız da var.

Projenin içeriği özgün ve detaylar sadece seçilen kişiyle gizlilik sözleşmesi (NDA) kapsamında paylaşılacaktır. Bu aşamada sadece temel yapı ve teknoloji beklentisini iletiyoruz:

MVP için Teknik Beklentiler:

Frontend: React.js veya Next.js

Backend: Node.js / Express.js (Firebase tercihe bağlı)

Veritabanı: Firebase veya MongoDB

Giriş & Yetkilendirme: Firebase Auth veya JWT

Medya Yükleme & Depolama: Firebase Storage / Amazon S3

Ödeme Sistemi: Stripe veya benzeri

Admin Panel: Evet (temel düzeyde, sade bir moderasyon arayüzü)


Geliştirme süresi 2–4 ay arası olarak öngörülüyor. Proje planlama, iletişim ve teslim sürecine yaklaşımınızı duymak isteriz.

Skills: Agile Project Management, React, Spring Boot, GIS, Google Maps API, OpenLayers, Cesium, Next.js, Spring Cloud, Java, JavaScript, Software Architecture & Design, Product Development, PostGIS, Elasticsearch

arcgis project for tables to be added to polygons

Skills: 3D Modeling, OpenLayers, Leaflet, ArcGIS, QGIS, CAD Conversion, Modeling, 3D Design, GIS, GIS Software, Georeferencing, GeoTIFF, DWG, ArcScene, ArcGIS Online

We’re looking for a developer with experience in ArcGIS/Esri to help us build an interactive map for a property database, which will be embedded on a public-facing desktop-only webpage.

We currently store around 20,000 property records per year in Airtable, but we’re open to using a different backend if that improves performance or integration. Each property entry includes:

- Latitude and longitude (location)
- Price
- Size (e.g. acreage)
- Date of listing
- Tags (e.g. land type)

Project Requirements:
- Display these property data points on a map using ArcGIS/Esri
- Allow users to apply filters to show/hide properties (e.g. by year, price range, land type)
- Include Esri basemap layers (e.g. satellite, topography) that users can toggle on/off
- Each map point should display a popup with summary information (e.g. price, size, date)
- The map will be embedded on a desktop-only public webpage (no mobile support required)
- Strong performance is key given the size of the dataset

What We're Looking For:
- Proven experience building interactive ArcGIS/Esri maps for the web
- Experience integrating with Airtable or similar cloud databases (or advising on alternatives)
- Understanding of embedding and filter interaction

Skills: ArcGIS, GIS, Mapbox, QGIS

We are seeking a skilled GIS specialist to convert a CAD file into a geographical map. The ideal candidate will overlay the generated map onto a local GIS platform and provide us with a GeoTIFF file for further use. Attention to detail and experience with CAD and GIS software are crucial for this task. I will be using the app called Avenza to use the geo referenced map to see where lots and roads layout.

Skills: ArcGIS, GIS, Autodesk AutoCAD, AutoCAD Civil 3D, 2D Design

We are looking for a skilled GIS and data automation expert to support our team with geospatial analysis, mapping, and automation workflows focused on resilience planning. Our work centers on identifying environmental, housing, and infrastructure risks (e.g., flooding, heat, land use change, property vulnerability) and helping communities plan and adapt using clear, actionable insights.

Key Responsibilities:
• Process and analyze spatial datasets (e.g., parcels, flood zones, land cover, census tracts)
• Automate comparison of geospatial and tabular data across time (e.g., identify new or removed risk properties monthly/yearly)
• Build or refine reproducible workflows for mapping, scoring, and flagging high-risk areas
• Generate maps and simple dashboards that communicate layered risk clearly
• Document scripts or automation processes to ensure handoff and scalability

Preferred Skills:
• Proficiency in ArcGIS, QGIS, or similar platforms
• Experience with Python (e.g., pandas, geopandas) or R for geospatial workflows
• Familiarity with data types like shapefiles, geoJSON, parcel data, and government open datasets
• Strong attention to detail and ability to work independently
• Experience with resilience, climate, or housing data a plus but not required

Bonus if you have:
• Experience developing automated workflows (e.g., using Jupyter, GitHub, ModelBuilder, or FME)
• Knowledge of U.S. local government data (e.g., FEMA flood layers, assessor files, census indicators)

Skills: ArcGIS, GIS, Digital Mapping

We are seeking a skilled professional to overlay a LandXML topographical file onto a map for practical applications. The ideal candidate will have experience with GIS software and an understanding of land surveying principles. You will be required to analyze the data, ensure accuracy, and present it in a clear format that meets our needs. Strong attention to detail and the ability to work independently are essential. If you have expertise in geospatial analysis and mapping, we want to hear from you!

Skills: GIS, Autodesk AutoCAD, ArcGIS, 3D Modeling, Microsoft Excel, AutoCAD Civil 3D

We are seeking a skilled professional to assist us with map creation for a variety of projects. The ideal candidate will have experience in creating detailed, visually appealing maps using GIS software or other mapping tools. You should be able to interpret data and translate it into engaging visual formats. If you have a strong eye for design and a passion for geography, we would love to see your portfolio. Please include examples of your previous map creations in your application.

Skills: Graphic Design, Adobe Illustrator, Adobe Photoshop, Infographic, WordPress

We are seeking a skilled GIS developer to help create and remap geographical maps. The ideal candidate should have extensive experience in handling map data and be proficient in GIS software. Your role will involve designing user-friendly maps and ensuring data accuracy. A strong understanding of geospatial analysis and data visualization techniques is essential. If you have a passion for mapping and possess the required skills, we would love to hear from you!

Skills: GIS, ArcGIS, QGIS, Digital Mapping, Google Maps API

Freelance GIS Specialist for PDF Map Digitization

Duration: Project-based at this stage (with potential for future work)

Overview:

We are seeking a skilled and detail-oriented GIS specialist to assist with the digitization of legacy PDF maps. This will at first cover a specific UK dataset however we have a growing development pipeline which we would expect will generate further and more complex assignments in the future.

The key requirement is to convert pdf map documents into spatial data layers. We have developed our own in-house GIS software tool to do this an will require any freelancers engaged in the project to use this. The software allows for geo-referencing and the drawing of boundaries for digitalisation. The software has been specifically designed to geo-reference and digitalise pdf maps into spatial data formats.

Requirements:

* Experience with GIS software (ArcGIS, QGIS, or similar).
* Experience working in the UK property industry would be a plus. We would specifically like to hear from people who have experience in planning, surveying, real estate law or urban design/architecture.
* Ability to interpret and extract features from various types of PDF maps.
* Attention to detail and quality control.
* Ability to work independently and meet deadlines, although as this is an ongoing project we do not expect there to be tight deadlines - just a relatively timely turnaround from freelancers.

In your application please provide:

* A brief summary of relevant experience.
* Examples of past GIS digitisation work (if available).
* Your availability and estimated rate or fee for the project. We are open to an hourly rate or a 'fee per map digitised'.

Skills: GIS, Digital Mapping

We are looking for a GIS specialist or firm to convert AutoCAD Civil 3D files of a water pipeline network (~2.5 km including manholes) into a NEOM-compliant ESRI File Geodatabase (GDB).
Only applicants with previous experience delivering CAD to GIS conversion under NEOM specifications will be considered.
Scope of Work:
Convert utility CAD drawings (water pipeline and manholes) to GIS format
Attribute all features using NEOM’s Feature Catalogue and Domain values (will be provided)
Coordinate System: WGS84 UTM Zone 36N
Validate topology (no overlaps, gaps, dangles)
Generate ISO 19115-compliant metadata
Submit a full QA/QC report
Deliverables:
Final File Geodatabase (.gdb)
QA/QC validation report
Metadata documentation
Timeline:
Must be delivered within 5 calendar days
Required Qualifications:
Proven experience with CAD to GIS conversions for NEOM.
Strong knowledge of NEOM GIS & BIM standards (NEN-PRC-009_04.00)
Proficient in ArcGIS Pro or equivalent tools
Excellent quality control and documentation practices
Who Can Apply:
Freelancers or Agencies
Submit examples of previous work, specifically NEOM-related projects

Skills: GIS, ArcGIS, AutoCAD Civil 3D

About Us:
We are a fast-growing real estate investment company specializing in land acquisitions and flipping across the United States. Our goal is to leverage data-driven insights to streamline acquisitions, optimize deal analysis, and scale operations. We are now seeking a highly analytical and entrepreneurial Data Scientist with experience in real estate or land valuation to join our team remotely from outside the United States.
Position Overview:
The Data Scientist will be responsible for developing data pipelines, market models, and predictive tools to support high-volume land acquisition. This role requires strong technical expertise in data analysis, automation, and modeling, with a clear understanding of land valuation metrics, real estate market trends, and GIS data.
Key Responsibilities:
Build predictive models to identify undervalued land parcels using public and proprietary data.


Develop and maintain acquisition scoring systems based on zoning, location, comps, access, PERC, and buyer demand.


Aggregate data from multiple sources including Zillow API, Landwatch, PropStream, county assessor sites, and GIS platforms.


Perform market segmentation, cluster analysis, and price forecasting by county, state, and zoning type.


Collaborate with our acquisitions team to refine target criteria and automate due diligence checklists.


Set up dashboards (e.g., in Tableau, Power BI, or Google Looker Studio) to visualize land deals and KPIs.


Assist with scraping, cleaning, and validating raw datasets from websites and land listing platforms.


Explore machine learning opportunities to automate offer pricing or identify ideal exit strategy (wholesale, seller finance, retail flip).


Deliver weekly reports and actionable insights for investment decisions.


Skills & Qualifications:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.


2+ years of experience in real estate data analysis (land data experience strongly preferred).


Proficiency in Python or R for data analysis, along with SQL and Excel/Google Sheets.


Experience with APIs (Zillow, Redfin, Realtor.com, etc.) and web scraping tools (BeautifulSoup, Scrapy, Selenium).


Familiarity with GIS platforms like ArcGIS, QGIS, or Mapbox is a strong plus.


Experience with valuation models (AVM), regression, clustering, and time series forecasting.


Knowledge of the U.S. real estate market and factors that influence land value.


Excellent communication and documentation skills.


Self-starter mentality with the ability to work independently and manage timelines effectively.


Preferred Countries for Hiring:
We welcome candidates from India, Pakistan, Eastern Europe (e.g., Romania, Ukraine, Serbia), Egypt, and the Philippines, where talent is strong in data science and cost efficiency.
Compensation:
Competitive monthly or hourly rate based on experience. Performance bonuses available for high-impact results. Long-term role with opportunities for growth.

Skills: Microsoft Excel, Data Mining, Python, Data Analysis

We need a geospatial machine learning and Artificial Intelligence expert.
We are looking for someone who has worked and deployed AI algorithms on satellite and drone data
This could be using any open source, ARCGIS, CESIUM or other software
We are looking to build small demos for the following areas
• Road and pavement detection
• Potholes , cracks or other deformities detection ( if drone data required for this, we can provide this)
• Other identification in nearby road area like houses etc. (optional)
This is an urgent assignment , 100 percent is not a requirement at the moment but a functional demo is required. Timeline 2 days
We need a simple demo that uses AI to detect road cracks and potholes from high-resolution satellite images. The goal is to show how this can be used to assess road quality (like PCI – Pavement Condition Index).
What you need to do:
• Use sample satellite images (we can help find them)
• Train or use an AI model to detect cracks/potholes
• Output a map/image showing detected issues with some scoring
• Keep it basic – this is just a proof-of-concept demo
Bonus if you have: Worked on road condition detection before

it is encouraged to use premade models and repositories

Skills: Computer Vision, Python, ArcGIS, Machine Learning, GIS, GitHub, Satellite Image