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Remote Forestry Jobs in Texas (NOW HIRING)

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

Systems Architect

Austin, TX ยท On-site +1

$105K - $137K/yr

... Full Time Remote Employment: Flexible/Hybrid Job Number: 26-10722 Department: Information ... Plan forest consolidations and migrations. * Design disaster recovery and business continuity ...

Texas A&M Forest Service * Texas A&M Veterinary Medical Diagnostic Laboratory As the nation ... Responsibilities: * Develop, implement, and validate remote-sensing-enabled models for ...

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Remote Forestry information

See Texas salary details

$27K

$38.7K

$49.8K

How much do remote forestry jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote forestry in Texas is $38,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $43,300.00 per year, depending on experience, location, and employer.

What are the typical daily tasks and challenges encountered in a remote forestry position?

In a Remote Forestry role, your daily tasks often include analyzing satellite imagery, creating digital forest maps, compiling data reports, and coordinating with field teams through virtual meetings. One of the main challenges is ensuring accuracy and detail in forest assessments when you aren't physically present at the site, which requires keen attention to data quality and strong remote collaboration skills. You'll frequently communicate with other forestry professionals, landowners, and government agencies to support land management decisions or conservation projects. Continuous learning about the latest remote sensing technologies and maintaining a proactive approach to problem-solving greatly contribute to success in this role.

What is a remote forestry?

A Remote Forestry job involves managing, monitoring, and analyzing forest resources using digital tools, satellite imagery, drones, and GIS software. These roles often focus on conservation, land management, wildfire prevention, and environmental research. Remote forestry professionals work from home or off-site locations, relying on technology to assess forest health, track deforestation, and support sustainable forestry practices.

What are the key skills and qualifications needed to thrive in a remote forestry position, and why are they important?

To thrive in a Remote Forestry role, you need a strong background in forestry, environmental science, or natural resource management, often supported by a relevant degree or equivalent experience. Familiarity with GIS software, remote sensing tools, and forest inventory systems is typically required, along with certifications such as SAF (Society of American Foresters) or a drone pilot license. Strong analytical skills, independent problem-solving, and effective written communication are important soft skills for success in a remote work environment. These competencies are crucial for accurately assessing and managing forest resources while collaborating with stakeholders across locations.

What are the most commonly searched types of Forestry jobs in Texas? The most popular types of Forestry jobs in Texas are:
What cities in Texas are hiring for Remote Forestry jobs? Cities in Texas with the most Remote Forestry job openings:
Infographic showing various Remote Forestry job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 11% In-person, and 89% Remote job distribution, with an average salary of $38,705 per year, or $18.6 per hour.

Full-time

Re-posted 16 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME