DevOps / Platform Engineer for AI Model Training

SaidGig; New York (NY); Remote; USD 96,000 - 207,000; Full time

Job summary

SaidGig is seeking experts to contribute DevOps and platform engineering expertise to train and evaluate AI models, supporting advanced AI research. The role emphasizes remote, hourly контракт work with flexible project assignments.

Responsibilities include creating real-world tasks, delivering results, and giving domain-specific feedback to advance frontier AI research. This position is remote and paid hourly, offering projects ranging in scope and duration.

Qualifications

• Experience building and maintaining CI/CD pipelines.
• Experience with cloud infrastructure (AWS, GCP, or Azure).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Strong communication skills for remote collaboration.
• Ability to work independently in a remote environment.

Responsibilities

• Train and evaluate AI models in DevOps and platform engineering.
• Create tasks and deliverables based on real-world engineering scenarios.
• Provide domain-specific feedback to support frontier AI research.

Skills

CI/CD

Cloud infra

Docker

Kubernetes

Communication

Remote work

Tools

Docker

Kubernetes

CI/CD Tools

Job description

Role Overview

Selected experts contribute their DevOps and platform engineering knowledge to help train and evaluate AI models and advance AI research.

Key Responsibilities

• Train and evaluate AI models in DevOps and platform engineering.
• Create tasks and deliverables based on real-world engineering scenarios.
• Provide domain-specific feedback that supports frontier AI research.

Qualifications

• Professional experience with CI/CD pipelines.
• Experience with cloud infrastructure, including AWS, GCP, or Azure.
• Experience with containerization and orchestration tools, including Docker and Kubernetes.
• Strong communication skills.
• Ability to work independently in a remote environment.

Work Terms

Remote, hourly contract opportunities. Typical project commitments range from 15 to 30 hours per week. Projects vary in scope and duration, and opportunities are matched on a rolling basis as relevant work becomes available.

Compensation

$70 to $150 per hour.

Eligibility

Qualified applicants undergo credential review and an AI interview; those who pass become eligible for relevant projects. Invitations to interview are based on expertise, project needs, schedule, and interests.