
DevOps / Platform Engineer Talent Network
Listing checked August 29, 2026 · pay as published by Mercor
Overview
This is an ongoing talent pool for skilled DevOps and Platform Engineers who want to contribute to cutting-edge AI projects on a flexible, contract basis. Instead of applying for a single role, you submit your profile once and become eligible for future opportunities that match your expertise. The work involves helping to train and refine AI models by completing real-world tasks in your domain, with typical weekly commitments of 15–30 hours.
What You'll Do4
- 1Assess and improve the performance of AI models by completing exercises and evaluations grounded in real DevOps and platform engineering scenarios.
- 2Design and execute tasks that test an AI system’s understanding of CI/CD pipelines, cloud infrastructure, and container orchestration.
- 3Provide detailed, domain-specific feedback to help advance the capabilities of frontier AI research.
- 4Tackle a variety of project scopes and durations, each aligned with your specific background and skills.
Requirements3
- 1Proven hands-on experience with CI/CD tools and pipelines, along with cloud platforms such as AWS, GCP, or Azure.
- 2Solid grasp of containerization and orchestration technologies, particularly Docker and Kubernetes.
- 3Strong written and verbal communication skills, plus the ability to work autonomously in a fully remote setting.
Who Should Apply
This network is ideal for experienced DevOps or Platform Engineers who enjoy variety and want to lend their expertise to AI training projects. You should be comfortable working independently, eager to tackle novel challenges, and able to clearly articulate technical observations. If you have a track record of building and maintaining robust infrastructure and are looking for flexible, high-impact contract work, this is a great fit.
Salary Insight
Contract rates range from $70 to $150 per hour, depending on experience and the specific project.
Pay and demand for Cloud & DevOps roles
AggregatedTypical pay
$70/hour
This role
$70–$150/hr
Most Cloud & DevOps roles pay $42–$95 per hour. This role's pay sits above that range.
Based on 1,116 similar roles that publish pay · 304 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,287
- Listed in last 30 days
- 694
- Remote
- 97%
Hiring most right now: micro1 (382) · SME Careers (255) · Mercor (166)
Most requested skills · share of roles
- ai evaluation12%
- ai training12%
- llm evaluation11%
- data annotation9%
Figures from Cloud & DevOps roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$70–150/hr
Application Tip
When completing your profile, be as detailed as possible about your specific cloud and orchestration experience—mention the exact tools, versions, and scale of deployments you've handled. This will help the matching algorithm surface the most relevant projects for you.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.

Mercor
VerifiedBackend Engineer Talent Network
This is your chance to join a talent network for experienced backend engineers who want to contribute to groundbreaking AI initiatives. You'll be matched with contract roles at leading AI labs, working remotely on tasks such as training AI models and building real-world deliverables. Typical weekly commitments are 15–30 hours, and you'll earn a competitive hourly rate.

Mercor
VerifiedMachine Learning Engineer Talent Network
This is an open, rolling application for a network of machine learning engineers seeking remote contract work with top-tier AI research labs. As an expert in this network, you'll contribute to training, evaluating, and improving AI models by completing real-world tasks and delivering domain-specific feedback. Projects typically require 15-30 hours per week and offer flexible schedules with pay ranging from $70 to $250 per hour.

micro1
VerifiedSenior Platform Engineer Remote Cloud Infrastructure Expert
A remote contractor role focused on cloud platform engineering to support next-gen AI training. You’ll shape how models learn and perform by providing real-world, production-grade input across distributed systems, networking, IAM, storage, and observability. Your background in cloud infrastructure and platform ownership stands in for AI-specific experience, guiding the creation of realistic reinforcement learning environments.

Mercor
VerifiedFrontend Engineer Talent Network
This is a talent network that connects experienced frontend engineers with leading AI labs for contract work. You'll apply your expertise to train and evaluate AI models by creating realistic frontend tasks and providing detailed feedback on AI-generated outputs. The projects are flexible, remote, and typically require 15–30 hours per week, with competitive hourly pay.

Mercor
VerifiedCloud / DevOps Engineer (Infra & IaC)
A leading AI lab building foundational Large Language Models needs a Cloud/DevOps Engineer to improve the quality of its training and inference infrastructure. The role centers on hands-on work with Kubernetes, AWS services, and Infrastructure-as-Code. You will design tasks, evaluate solutions, and write technical feedback that helps models reason about cluster failures, AWS integration, and CI/CD pipelines. The position is full-time (40 hours/week), remote within the United States, and structured as a W-2 contract through Cincinnatus LLC.

micro1
VerifiedTechnical Architect for Production Platform Engineering
A contractor role focused on platform engineering for next-generation AI systems. You’ll craft real-world, production-grade cloud scenarios to test how models learn, reason, and operate. Your guidance shapes how reinforcement learning environments evaluate design, deployment, security, and recovery across distributed infrastructure. Prior AI experience isn’t required; deep hands-on production expertise and domain knowledge take precedence. Boldly apply your cloud and distributed systems expertise to build deterministic tests and reusable environments.

