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From Home Gcp Laboratories Jobs (NOW HIRING)

Capgemini

NY · On-site

$100 - $125/hr

# GCP AI DeveloperPoznań, Opole, Kraków, Katowice, Wrocław, Gdańsk, Lublin, WarszawaApply for ... work from home, thanks to home office package (including laptop, monitor, and chair). Ask your ...

Frontage Laboratories

Lab Technician

Secaucus, NJ · On-site

$18 - $22/hr

Laboratory Manager Per diem Frontage Laboratories Inc. is an award winning, publicly listed (HKSE ... Ensure compliance with safety, quality, and regulatory standards (GCP and internal QA procedures)

Purple Drive

Solution Architect - GCP

Charlotte, NC · Remote

$61.50 - $81/hr

: The Solution Architect will lead the architecture, design, and implementation of a strategic Home ... from legacy and non-strategic platforms. The Solution Architect will partner closely with Business ...

OVA.Work

Back End Developer | freelance | WFH

... AWS, GCP, Azure) Preferred : • A backend-focused engineer who writes efficient, secure, and maintainable code • A freelancer who communicates well and delivers on time • Someone comfortable ...

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How much do from home gcp laboratories jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for from home gcp laboratories in the United States is $27.10, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $29.33 per hour, depending on experience, location, and employer.

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From Home Gcp Laboratories jobs near you
Infographic showing various From Home Gcp Laboratories job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $56,364 per year, or $27.1 per hour.

Python Developer with LLM, GCP

Sparc Technology Services Inc

Irving, TX • On-site

$48 - $66.25/hr

Full-time

Re-posted 19 days ago

Job description

Python Developer – data engineering – GCP – Working 
Exp with LLMs etc
building custom Python applications for large-scale data 
building pipelines for data processing and deploying in GCP 
Solid foundation in Machine Learning
Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management.
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques.
Experience working with Vector databases and text embeddings.
Experience within Google Cloud environments (e.g., BigQuery, Cloud Run).

Flexible work from home options available.