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Remote Google Earth Engine Developer Jobs in Dallas, TX

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... DevOps, and JIRA . * Assess AI agents and workplace connectors across tools such as Slack, Google ...

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Google Cloud. * Message Queues: Knowledge of AMQ, Kafka, or RabbitMQ. * Database & Programming:

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Google Cloud. * Message Queues: Knowledge of AMQ, Kafka, or RabbitMQ. * Database & Programming:

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with CI/CD ...

... google-beta) o IAM module development o State management and remote backends o Workspace and ... GCP IAM Engineer (Associate) Role summary: Implement and operate GCP identity and access controls ...

... google-beta) o IAM module development o State management and remote backends o Workspace and ... GCP IAM Engineer (Associate) Role summary: Implement and operate GCP identity and access controls ...

Showing results 41-60

Remote Google Earth Engine Developer information

See Dallas, TX salary details

$38

$59

$76

How much do remote google earth engine developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote google earth engine developer in Dallas, TX is $59.64, according to ZipRecruiter salary data. Most workers in this role earn between $55.19 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Remote Google Earth Engine Developer vs Remote GIS Analyst?

AspectRemote Google Earth Engine DeveloperRemote GIS Analyst
Required CredentialsDegree in GIS, Geography, Computer Science; experience with Google Earth EngineDegree in GIS, Geography, Environmental Science; proficiency in GIS software
Work EnvironmentRemote, often collaborative with developers and data scientistsRemote, often analytical and reporting-focused
Industry UsageEnvironmental monitoring, climate analysis, remote sensing projectsUrban planning, resource management, spatial data analysis
Search & Comparison IntentTechnical, development-focused roles involving coding and data processingData analysis, mapping, and reporting roles using GIS tools

The main difference is that Remote Google Earth Engine Developers focus on coding and developing applications using Google Earth Engine for remote sensing data, while Remote GIS Analysts primarily analyze spatial data and generate reports using GIS software. Both roles require GIS knowledge but differ in technical depth and project focus.

What are popular job titles related to Remote Google Earth Engine Developer jobs in Dallas, TX?

For Remote Google Earth Engine Developer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Google Earth Engine Developer jobs in Dallas, TX look for?

The top searched job categories for Remote Google Earth Engine Developer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Google Earth Engine Developer jobs?

Cities near Dallas, TX with the most Remote Google Earth Engine Developer job openings:

Infographic showing various Remote Google Earth Engine Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $124,048 per year, or $59.6 per hour.

Infrastructure Expert - Remote

YO AI Labs

Dallas, TX โ€ข Remote

$30 - $80/hr

Full-time

Posted 10 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.