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Remote Viewing Jobs in Atlanta, GA (NOW HIRING)

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations * 20% Support and Enablement - Fields questions ...

Everlight Solar

Salesforce Administrator

Atlanta, GA · Remote

$80K - $100K/yr

This will be a full-time, work-from-home "remote" position. Must own a Mac computer and be fluent ... fields, workflows, custom views, and other content of intermediate complexity * Strong ...

Epiq

Senior Managing Attorney

Atlanta, GA · On-site +1

Remote, United States Business Unit:Legal Solutions Reports to:TBD Position Summary: The Senior ... views, rules, security, persistent highlighting, search term reports, analytics, and other matter ...

corpay

VP, Partner Product Solutions

Nashville, TN · Remote

Company-issued equipment + remote access Role Responsibilities The responsibilities of the role ... views, and product capability narratives. * Partner with Business Development to tailor demos for ...

corpay

VP, Partner Product Solutions

Atlanta, GA · Remote

Company-issued equipment + remote access Role Responsibilities The responsibilities of the role ... views, and product capability narratives. * Partner with Business Development to tailor demos for ...

Trimble

Professional Services Project Manager

Atlanta, GA · Remote

$78K - $107K/yr

... problem-solver who views project management as a core part of who you are? Join Trimble ... Proven capability to drive multiple complex projects simultaneously while managing remote, matrixed ...

ZYWIE INC

Territory Manager

Johns Creek, GA · Remote

Founded in 2014, Zywie is a full-suite, remote cardiac monitoring company specializing in wearable ... Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to ...

RELEX Solutions

Merchandising Consultant

Atlanta, GA · On-site +1

... preferred; open to remote for the right candidate) Who we are We're bold thinkers and kind ... Develop analytics and KPI views that prove out the business case and track value after go-live

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How much do remote viewing jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote viewing in Atlanta, GA is $28.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $23.12 per hour, depending on experience, location, and employer.

What is remote viewing?

A Remote Viewing job typically involves using structured techniques to gather information about distant or unseen targets without direct physical access. This practice is often associated with psychic or intuitive abilities, but some organizations use it in research or investigative contexts. Remote viewers may be employed in fields such as paranormal research, security consulting, or private investigation. While the legitimacy of remote viewing remains debated, some individuals claim success in providing useful insights.

What does a remote viewer do?

In a Remote Viewing position, your main daily tasks typically involve monitoring live video feeds or surveillance footage to detect and report unusual activity, security breaches, or other incidents. You may also be responsible for creating detailed reports, maintaining logs, and communicating effectively with on-site personnel or local authorities when necessary. Depending on the employer, you might work independently or as part of a larger security team and could be assigned to oversee multiple locations simultaneously. Staying alert and attentive throughout your shift is crucial to ensuring timely responses to any events that arise.

What skills and qualifications are needed for remote viewing?

To thrive in a Remote Viewing job, candidates typically need strong observational skills, attention to detail, and the ability to accurately document and communicate findings, with at least a high school diploma or equivalent required. Experience with surveillance or monitoring software, video analytics tools, and familiarity with standard operating procedures is often essential. Strong reliability, professionalism, and the ability to stay focused during long periods of monitoring make candidates stand out. These attributes are important for ensuring accurate reporting, preventing incidents, and maintaining safety or compliance in security-related environments.

How do you become a remote viewer?

Becoming a remote viewer typically involves training in visualization, meditation, and mental focus techniques, often through specialized programs or courses. Developing strong intuitive skills and practicing regularly are essential, and some individuals pursue certifications or join communities to improve their abilities.

What are popular job titles related to Remote Viewing jobs in Atlanta, GA?

For Remote Viewing jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Viewing jobs in Atlanta, GA look for?

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Remote Viewing jobs near you
Infographic showing various Remote Viewing job openings in Atlanta, GA as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,887 per year, or $28.8 per hour.

Senior AI Engineer (Remote)

Home Depot

Atlanta, GA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,478 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products.
This role involves developing scalable applications powered by LLMs, SLMs, Retrieval-Augmented Generation (RAG) frameworks, and autonomous agents. You will build the core orchestration layers for multi-agent workflows, tool integration, and planning, alongside the infrastructure required for reliable, large-scale cloud deployment. By partnering with product, engineering, and business teams, you will rapidly prototype solutions, navigate ambiguity, and seamlessly transition cutting-edge AI capabilities from concept to production.
Required skills
  • Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices.
  • AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
  • AI Foundations: Deep understanding of AI/ML foundations, including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
  • Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and seamlessly integrating AI solutions with enterprise platforms, APIs, and business systems.
  • Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (e.g., Terraform), andAI pipeline design, with hands-on implementation of MLOps/LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle.
  • AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, implementing progressive rollout strategies (canary, blue-green, and shadow deployments) with automated rollback, and establishing end-to-end observability (logging, metrics, distributed tracing, and automated alerting) across models, agents, and orchestration layers to ensure production reliability, performance, and cost/token efficiency at scale.
  • Optimization & Debugging: Demonstrated ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token use, as well as debugging operational failure modes.
  • Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven ability to take AI solutions from concept to production in complex enterprise environments.

Key Responsibilities:
  • 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
  • 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Direct Manager/Direct Reports:
  • This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
  • This Position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Tools & Frameworks: Hands-on experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar orchestration tools and frameworks.
  • AI Infrastructure & Platform Tooling: Hands-on experience with infrastructure-as-code (e.g., Terraform), Kubernetes/GKE for container orchestration, GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector database operations at production scale.
  • Full-stack skills: Node.js/React/REST, API design, performance optimization, Linux, Git, modern deployment toolchain.
  • Industry Context: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance where Applied ML is mature.
  • Guardrails & Reliability: Knowledge and experience in establishing Responsible AI, evaluation frameworks, reliability engineering, and AI governance guardrails.
  • Leadership & Innovation: A proven track record of driving innovation, delivering measurable business impact, mentoring engineering teams, and establishing AI engineering standards and best practices.
  • Master's or bachelor's in computer science, Artificial Intelligence, Machine Learning, or a related technical discipline.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 2

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Global Perspective
  • Manages Ambiguity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Cultivates Innovation
  • Situational Adaptability
  • Communicates Effectively
  • Drives Results
  • Interpersonal Savvy

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $100,000.00 - $250,000.00

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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