Project Type: Potential project — subject to client confirmation

Overview: We are exploring a potential project involving the conversion of scanned building data into accurate 2D layouts and structured GIS datasets. The role will involve interpreting point-cloud/scanned data, digitizing building features, and preparing GIS/CAD outputs according to defined standards.

Key Responsibilities:

- Interpret and work with LiDAR/point-cloud data (LAS/LAZ).
- Create accurate 2D building/floor-plan layouts from scanned data.
- Digitize features such as walls, doors, windows, rooms, stairs, elevators and relevant fixed fixtures.
- Work with ArcGIS Pro and GIS datasets.
- Use CAD software for detailed 2D drafting where required.
- Maintain consistent geometry, naming, structure and accuracy.
- Perform QA/QC on completed work.
- Follow project-specific standards and incorporate client feedback.
- Track time and productivity to help establish project benchmarks.
- Work collaboratively with the team to develop and improve the most efficient workflow.

Preferred Skills:

- Experience with ArcGIS Pro
- Experience with AutoCAD
- Familiarity with LiDAR/point-cloud data
- Experience with Autodesk ReCap or CloudCompare
- Knowledge of QGIS
- Familiarity with LAS/LAZ, DWG/DXF and geodatabase formats
- Understanding of coordinate systems and GIS data management
- Strong attention to detail and spatial accuracy
- Ability to interpret architectural/building layouts

Good to Have:

- ArcGIS Indoors experience
- FME / Feature Manipulation Engine
- LAStools
- Experience converting point clouds into CAD/GIS deliverables
- Experience working with large datasets

Position: LiDAR, CAD & GIS Digitization Specialist

Work Type: Data Processing, CAD Drafting & GIS Digitization

About the Role

We are exploring a potential project involving the conversion of LiDAR/point-cloud data of buildings into accurate 2D floor plans and structured GIS datasets.

The selected team members will work with scanned building data, interpret the physical layout of buildings, digitize relevant architectural features, and prepare the information in a standardized GIS workplace.

The initial phase will be a pilot/training exercise intended to evaluate the workflow, accuracy, technical capability and productivity of the team before any larger-scale work is considered.

Key Responsibilities1. LiDAR / Point-Cloud Data Processing

- Receive and work with LAS/LAZ point-cloud files.
- Load, inspect and navigate large point-cloud datasets.
- Identify building structures and architectural features from scanned data.
- Interpret point-cloud information accurately where features may not be immediately obvious.
- Identify areas where the point cloud may be incomplete, noisy or unclear.
- Use appropriate software to view, measure and interpret scanned data.

2. 2D Floor Plan Digitization

Convert the scanned building information into an accurate 2D floor plan.

The digitization may include

- Exterior and interior walls
- Interior and exterior doors
- Exterior windows
- Rooms/spaces
- Closets and relevant enclosed spaces
- Stairs
- Elevators
- Significant fixed fixtures
- Large physical or visual barriers
- Other features specifically required by the project standards

The objective is not simply to trace the building but to create a floor plan that accurately represents the physical environment.

3. Room & Space Identification

Team members will need to use judgment when identifying spaces from the point cloud.

Particular attention should be given to:

- Classrooms
- Offices
- Storage areas
- Bathrooms
- Libraries
- Locker rooms
- Mechanical/utility rooms
- Closets




- Other spaces that could reasonably accommodate a person

Where there is uncertainty, the project guidance is generally to err on the side of capturing relevant detail rather than omitting it, subject to the client's final standards.

4. Fixtures & Physical Barriers The project does not require indiscriminate digitization of ordinary furniture.

The focus is on relatively fixed or significant objects that could represent:

- A substantial physical barrier
- A visual obstruction
- A potential hiding area

Examples may include large shelving units, rows of lockers or significant fixed desks/reception areas.

Movable items such as ordinary classroom desks and chairs would generally not be the focus.

5. GIS & ArcGIS Indoors The resulting information may need to be structured according to an ArcGIS Indoors-type hierarchy, including:

Site → Facility → Level → Unit → Details

Team members should become familiar with:

- ArcGIS Pro
- Geodatabases
- Feature classes
- Levels/floors
- Units/rooms
- Details
- Floor-aware datasets
- Attributes and naming conventions
- Coordinate systems
- GIS data validation

The exact schema, required fields and naming conventions will be provided/confirmed by the client.

6. CAD Workflow

Depending on the final workflow, the team may be required to:

- Digitize point-cloud information in CAD.
- Create clean 2D linework.
- Maintain accurate geometry.
- Work with DWG/DXF formats.
- Prepare CAD data for transfer into ArcGIS Pro.
- Follow standardized layer/naming conventions.

The client currently uses a CAD → ArcGIS Pro workflow but is open to alternative approaches if the team can develop a more efficient and reliable process.

7. Quality Assurance / Quality Control

Accuracy is a critical requirement.

Team members will be expected to:

- Check geometry against the source point cloud.
- Verify walls, doors and windows.
- Check room boundaries.
- Verify floor/level information.
- Identify missing features.
- Check for incorrect or overlapping geometry.
- Ensure consistent naming and structure.
- Review the final dataset before submission.
- Correct errors identified during internal or client QA.

Because the resulting data may support real-world operational purposes, accuracy and completeness are more important than simply completing the work quickly.

8. Productivity & Reporting

During the pilot phase, team members may be required to track:

- Total hours worked
- Time spent on different stages of the workflow
- Number of rooms/features processed
- Areas/building size where available
- QA/rework time
- Technical challenges
- Workflow issues
- Questions or ambiguities encountered

This information will help establish realistic productivity benchmarks and future staffing requirements.

Required / Preferred Software SkillsHigh Priority

ArcGIS Pro

- GIS data management
- Geodatabases
- Feature classes
- Mapping
- Floor-aware/indoor data concepts

AutoCAD

- 2D drafting
- Floor-plan creation
- DWG/DXF handling
- Accurate linework

Autodesk ReCap

- Point-cloud viewing and processing

CloudCompare

- Point-cloud inspection
- LAS/LAZ handling
- Measurements and visualization

QGIS

- GIS fundamentals
- Data management
- Coordinate systems
- Basic GIS analysis

Additional Advantage

- LAStools — LAS/LAZ processing
- FME (Feature Manipulation Engine)



— data conversion and automation
- ArcGIS Indoors — direct experience is highly desirable
- Autodesk Civil 3D — additional CAD/GIS capability

Candidates do not need to be experts in every software package. Strong existing skills in one or more of the core tools, combined with the ability to learn the remaining workflow, will be valuable.

Candidate Profile The ideal candidate should have:

- Strong spatial awareness
- Excellent attention to detail
- Experience with CAD and/or GIS
- Ability to interpret technical drawings or building layouts
- Ability to work with large datasets
- Understanding of coordinate systems and spatial data
- Strong computer skills
- Ability to learn new software/workflows quickly
- Good problem-solving and analytical ability
- Willingness to work through ambiguous data and seek clarification when necessary
- Strong commitment to accuracy

Particularly Suitable Backgrounds

Candidates with experience in

- GIS
- CAD drafting
- Architectural drafting
- Civil engineering
- Surveying
- LiDAR processing
- Point-cloud processing
- Mapping
- Remote sensing
- Geospatial data production

would be particularly well suited.

Important Project Considerations

- The source data may be very large, requiring appropriate hardware, storage and file-transfer solutions.
- The data is associated with real buildings/schools, so confidentiality and controlled access are important.
- Accuracy is critical because the resulting datasets may support emergency-response and operational purposes.
- Team members should not share project data outside authorized channels.

Overall Objective

Transform raw scanned building data into accurate, standardized, floor-aware 2D GIS/CAD representations that can reliably reflect the physical layout of a building and support downstream mapping and operational applications.

Pay: ₹25,000.00 - ₹40,000.00 per month

Application Question(s)

- How many years of hands-on experience do you have with GIS, CAD, or geospatial data processing?
- Please describe your hands-on experience working with LiDAR or point-cloud data, including the types of projects you have worked on and the software you used.
- Please describe your experience using ArcGIS Pro, including the types of GIS datasets, geodatabases, or workflows you have worked with.
- Please describe your experience using AutoCAD for 2D drafting, floor plans, or building layouts.
- Have you created 2D floor plans or building layouts from LiDAR, point-cloud, laser scan, or other scanned data? If yes, please describe your workflow and the features you typically digitized.
- What experience do you have working with LAS/LAZ files and tools such as Autodesk ReCap, CloudCompare, LAStools, or similar point-cloud software?
- How do you ensure accuracy and completeness when digitizing building features from point-cloud data, and what QA/QC process do you follow before delivering the work?
- Please describe a relevant GIS, CAD, LiDAR, surveying, or geospatial project you have worked on, including your specific responsibilities, software used, and final deliverables.
- A point cloud contains walls, doors, windows, stairs and other building features, but some areas are noisy or incomplete. How would you approach creating an accurate 2D floor plan from it?
- Please provide a link to your portfolio or examples of relevant CAD, GIS, LiDAR, point-cloud, floor-plan, or geospatial work, if available.
- Please provide an example of a GIS, CAD, LiDAR, point-cloud, surveying, architectural drafting, or similar project you have worked on. Briefly describe your role and the software/tools you used.

Work Location: Remote

📌 GIS / CAD & LiDAR Digitization Specialist (Goa)
🏢 AMDG Collective
📍 Goa