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Entry Level Computer Science Environmental Jobs in Pensacola, FL

D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ... Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo) * Any ...

Perform environment Integration testing, such as development, staging and production environment to ... Data Science, Information Systems, Computer Science, or any of the 40+ other accepted degrees ...

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval ... WORK ENVIRONMENT Your work as an Engineering Duty Officer is highly valued and can take you ...

Minimal time in an office environment * Exposure to moderate noise levels What You'll Bring to ... Familiarity with computer operating systems and software applications as well as consumer and ...

Minimal time in an office environment * Exposure to moderate noise levels What You'll Bring to ... Familiarity with computer operating systems and software applications as well as consumer and ...

Minimal time in an office environment * Exposure to moderate noise levels What You'll Bring to ... Familiarity with computer operating systems and software applications as well as consumer and ...

Associate degree in Information Technology, Computer Science, or related field; or equivalent work ... Provide coverage across multiple facilities as needed Physical Requirements & Work Environment

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Entry Level Computer Science Environmental information

See Pensacola, FL salary details

$12

$20

$32

How much do entry level computer science environmental jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level computer science environmental in Pensacola, FL is $20.80, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.85 per hour, depending on experience, location, and employer.

What is an entry level computer science environmental job?

Entry level computer science environmental jobs are positions that combine foundational computer science skills with a focus on environmental issues. These roles may include tasks such as data analysis for climate research, developing software tools for environmental monitoring, or working on sustainability projects that leverage technology. Often, such positions are found in government agencies, non-profits, research institutions, or private companies with environmental initiatives. Typical job titles might include environmental data analyst, GIS technician, or software developer for environmental applications. These roles are ideal for recent graduates looking to start a career at the intersection of technology and environmental science.

What are the key skills and qualifications needed to thrive as an entry level computer science environmental professional?

To thrive as an Entry Level Computer Science Environmental professional, you need a bachelor's degree in computer science, environmental science, or a related field, along with foundational knowledge in programming and environmental data analysis. Familiarity with tools such as GIS software, Python or R for data modeling, and environmental databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating on multidisciplinary projects and interpreting data. These abilities enable professionals to develop technology-driven solutions for environmental challenges, ensuring accurate data management and impactful results.

What are some typical projects an entry level computer science environmental professional might work on?

As an entry-level computer science professional in the environmental sector, you may work on projects such as developing data collection and analysis tools for monitoring air or water quality, automating environmental data processing workflows, or assisting in the creation of web dashboards for visualizing climate or pollution data. You’ll often collaborate with environmental scientists, engineers, and policy experts to ensure your technical solutions align with real-world environmental goals. These roles provide excellent opportunities to gain experience in both software development and environmental science, setting a strong foundation for career growth.

What is the difference between Entry Level Computer Science Environmental vs Entry Level Data Analyst?

AspectEntry Level Computer Science EnvironmentalEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentEnvironmental agencies, tech firms focusing on environmental data, research labsBusiness, finance, healthcare, and tech companies analyzing data
Industry UsageEnvironmental monitoring, conservation projects, tech solutions for environmental issuesData-driven decision making across various industries

Entry Level Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving data collection and analysis related to environmental factors. Entry Level Data Analysts primarily analyze data to support business decisions across multiple industries. While both roles require strong analytical skills and a background in relevant fields, their focus areas and typical employers differ significantly.

What cities near Pensacola, FL are hiring for Entry Level Computer Science Environmental jobs?

Cities near Pensacola, FL with the most Entry Level Computer Science Environmental job openings:

Infographic showing various Entry Level Computer Science Environmental job openings in Pensacola, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,259 per year, or $20.8 per hour.

Robotics Data Pipeline Intern

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 6 days ago


Job description

Robotics Data Pipeline Intern - Multimodal Data
About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data. We're moving beyond basic teleoperation to leverage massive datasets of in-the-wild egocentric video combined with dense sensor streams (IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious, technically sharp intern to roll up their sleeves and help us turn raw, unstructured multimodal data into high-fidelity training assets for our robots.
The Role As a Data Pipeline Intern, you'll work directly alongside our data and robotics engineering teams to support the infrastructure that feeds our foundation models. You'll get hands-on experience with real multimodal data challenges, from sensor stream processing and video pipeline optimization to force analysis and kinematic retargeting. This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real code.
What You'll Work On
  • Rebuilding and extending pipelines that ingest and synchronously process egocentric video alongside rich sensor streams (IMU, force-torque, tactile, proprioception)
  • Owning post-processing algorithms for force analysis and hidden state inference, including contact force estimation, occlusion handling, and inverse kinematics gap-filling
  • Bridging kinematic retargeting work that translates human hand tracking into humanoid end-effector coordinates
  • Optimizing and testing data augmentation strategies (spatial, temporal, synthetic viewpoints, sensor noise injection)
  • Tying together work across our Hardware Teleoperation Team to help align human-robot play-data across modalities

What We're Looking For
  • Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field
  • Solid Python skills and exposure to PyTorch, particularly around data loading or multimodal datasets
  • Coursework or project experience with computer vision, time-series data, or sensor processing
  • Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe) is a plus
  • Awareness of imitation learning, VLA architectures, or human-to-robot transfer concepts is a plus, but genuine curiosity counts for a lot here

Bonus Points
  • Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T)
  • Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo)
  • Any project work involving synthetic data generation or tactile/spatial data representations