Agentic Coding Annotator - Online / Offline Tasks

About Turing

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

We are looking for an experienced DevOps Engineer to build and operate GPU infrastructure and production LLM serving systems on Google Cloud Platform (GCP) . You will own infrastructure across the lifecycle, from GPU provisioning and container orchestration to scalable model inference, observability, and cost optimization.

What does day-to-day look like

• Provision and manage GPU infrastructure on GCP using GKE, Compute Engine, Cloud Run , and related services.
• Deploy, tune, and operate production LLM serving stacks using vLLM, Triton Inference Server, and Hugging Face Transformers .
• Build containerized and serverless deployments with Docker, CI/CD, and Infrastructure as Code (IaC) .
• Design and maintain reliable data pipelines supporting ML and inference workloads.
• Implement observability, autoscaling, reliability, and cost optimization for GPU fleets and production inference services.

Requirements

• Strong Python programming skills and hands-on experience building or operating production infrastructure.
• Strong practical experience with GCP , including GKE, Cloud Run, GCS, Pub/Sub, Cloud Functions, or equivalent services.
• Hands-on experience provisioning and operating GPU infrastructure , including CUDA/drivers, GPU node pools, quotas, and autoscaling.
• Production experience serving LLMs using vLLM and/or Triton Inference Server , with strong Docker and container orchestration fundamentals.
• Experience building data pipelines using Dataflow, Airflow/Cloud Composer, or similar technologies.

Perks of Freelancing With Turing

• Work on cutting-edge AI projects with leading foundation model companies
• Collaborate on high-impact work at the frontier of LLM evaluation and reasoning
• Remote, flexible opportunities with global teams

Offer Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).
• Duration of Contract: 2 months [expected start date is immediate].

Evaluation process

• Profile review followed by an interview by delivery team (if required)