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Last updated: 21 hours ago

Remote Cloud Computing Expert - AI Trainer ($1750-$2150 per hour)

MercorColumbus, Georgia, US
Remote
Full-time +1

Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We're ... Show more

Technical Product Owner

VDart IncColumbus, GA, United States
Full-time
Quick Apply

Role: Technical Product Owner</b></p> <p><b>Location: Columbus, GA 31901 - onsite</b></p> <p><b>Duration: 12 months with chance of extension/conversi... Show more

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Remote Medical Devices Expert - AI Trainer ($1150-$1450 per hour)

MercorColumbus, Georgia, US
Remote
Full-time +1

Role Overview**\n\nMercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We'... Show more

Customer Experience Manager

Five BelowColumbus, GA, United States
Full-time

At Five Below our growth is a result of the people who embrace our purpose: We know life is way better when you are free to Let Go & Have Fun in an amazing experience, filled with unlimited possibi... Show more

Full Stack Developer

Syms Strategic Group, LLC (SSG)Columbus, GA, US
$85,389.00 yearly
Full-time
Quick Apply

Syms Strategic Group (SSG)  is seeking a talented Full Stack Developer Location:.Remote Department: Veterans Affairs (VA) Type:  Full Time Min.Experienced Security Clearance Level:  ... Show more

Senior Lead Salesforce Developer

MaximusColumbus, GA, US
$123,440.00 yearly
Full-time

Essential Duties and Responsibilities: - Coordinate with the Functional Team to gather a detailed understanding of the business requirements.Participate and provide support in the analysis o... Show more

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Remote Cloud Computing Expert - AI Trainer ($1750-$2150 per hour)

Remote Cloud Computing Expert - AI Trainer ($1750-$2150 per hour)

MercorColumbus, Georgia, US
1 day ago
Job type
  • Full-time
  • Part-time
  • Remote
Job description
  • Role Overview Mercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced cloud-computing professionals from major hyperscalers and Fortune 500 enterprises running large cloud deployments (e.g., AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, and Fortune 500 platform / infrastructure teams) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in cloud architecture, site reliability, platform engineering, DevOps / DevSecOps, or cloud FinOps to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a modern cloud organization — and then author tasks grounded in the programs you actually run today. Key Responsibilities - Build a realistic digital workspace centered on the Drive folders you use day-to-day — the architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., HashiCorp Terraform, Datadog / Splunk, GitHub Actions, Okta) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other cloud-computing experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor - Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks - Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems Ideal Qualifications - 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform / infrastructure team - Background in one or more areas such as : - Cloud architecture / solutions engineering (multi-account, multi-region, hybrid) - Site reliability engineering or production engineering - Platform / developer-experience engineering (IaC, internal developer platforms) - DevOps / DevSecOps, CI / CD, or container / Kubernetes operations - Cloud security, compliance (SOC 2, ISO 27001, FedRAMP), or cloud FinOps - Certifications a plus : AWS Solutions Architect / SysOps / DevOps, Azure Solutions Architect, GCP Professional Cloud Architect, CKA / CKAD - Day-to-day use of HashiCorp Terraform / Pulumi, Splunk / Datadog, GitHub Actions / CircleCI, and Okta / Microsoft Entra ID - Strong analytical thinking and writing — able to translate cloud-ops workflows into structured task specs Compensation Note - Task Completion Pay : Competitive and based on task quality (~$1,750 – $2,150 per completed task, subject to change as the project evolves) - Performance Bonus : Top performers receive a weekly bonus incentive on top of their per task rate! - Hourly Opportunity : Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.