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Gpt Researcher Jobs (NOW HIRING)

OpenAI

GPT Infrastructure Lead

Seattle, WA · On-site

$293K - $385K/yr

About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of ... About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general ...

Vatic Labs

AI Researcher

New York, NY · On-site

$175K - $250K/yr

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative ... GPT-4) to discover and capitalize on trading opportunities. The nature of the problems we work on ...

OpenAI

Software Engineer, GPT Infrastructure

Seattle, WA · On-site

$293K - $385K/yr

About the Team The GPT Infrastructure team builds systems that turn advances in model inference and ... A central part of the role is turning research prototypes and one-off hardware bring-up efforts ...

Slope

Software Engineer, GPT Infrastructure

San Francisco, CA · On-site

$203K - $241K/yr

About the Team The GPT Infrastructure team builds systems that turn advances in model inference and ... A central part of the role is turning research prototypes and one‑off hardware bring‑up efforts ...

Vatic Labs

AI Researcher

New York, NY · On-site

$175K - $250K/yr

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative ... GPT-4) to discover and capitalize on trading opportunities. The nature of the problems we work on ...

OpenAI

Systems Generalist, GPT Infrastructure

Seattle, WA · On-site

$293K - $445K/yr

About the Team The GPT Infrastructure team builds software that turns advanced inference and ... You will work closely with research, inference engineering, infrastructure, security, product, and ...

Vatic Labs

AI Researcher - Vatic Labs

Manhattan, NY · On-site

$175K - $250K/yr

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative ... GPT-4) to discover and capitalize on trading opportunities. The nature of the problems we work on ...

Cypress HCM

LLM Research Engineer

Mountain View, CA · On-site

$90 - $121.86/hr

Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications. * Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ...

Inference

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

The models we train match GPT-5 accuracy but are smaller, faster, and up to 90% cheaper. Our ... About the Role You will be responsible for conducting research into experimental models, training ...

OpenAI

Researcher, Training

San Francisco, CA · On-site

$300K - $600K/yr

Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and ... AI research and deployment company dedicated to ensuring that general-purpose artificial ...

OpenAI

GPT Infra Technical Program Manager

Seattle, WA · On-site

$226K - $285K/yr

About the Role We are seeking a Technical Program Manager for our GPT Infrastructure teams, to lead ... About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general ...

Slope

GPT Infra Technical Program Manager

San Francisco, CA · On-site

$152K - $196K/yr

About the Role We are seeking a Technical Program Manager for our GPT Infrastructure teams, to lead ... About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general ...

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$113.1K

$164.5K

How much do gpt researcher jobs pay per year?

As of Sep 10, 2026, the average yearly pay for gpt researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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For Gpt Researcher jobs, the most frequently searched job titles are:

Infographic showing various Gpt Researcher job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

GPT Infrastructure Lead

Seattle, WA • On-site

OpenAI
Scientific Research and Development Services • 201 - 500 employees
Learn more about OpenAIexternal

$293K - $385K/yr

Full-time

Re-posted 15 days ago

Job description

About the Team
OpenAI's Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads.
This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy-ensuring OpenAI can scale compute faster than traditional models allow.
About the Role
We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads.
In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible.
This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners.
In this role, you will
  • Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity.
  • Convert delivered power, space, and hardware capacity into production-ready token throughput.
  • Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding.
  • Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams.
  • Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines.
  • Identify bottlenecks between physical delivery and usable compute output, then lead resolution.
  • Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs.
  • Develop repeatable deployment models for future industrial compute expansion.

You might thrive in this role if you
  • Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs.
  • Understand how power + hardware + networking + software combine into usable compute.
  • Can operate equally well with engineers, operators, executives, and external partners.
  • Are highly structured in ambiguous, fast-moving environments.
  • Know how to escalate intelligently and maintain momentum under pressure.
  • Can translate technical execution into business outcomes.

Preferred Skills
  • Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs.
  • Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution.
  • Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up.
  • Experience managing multi-billion-dollar infrastructure or capacity programs.
  • Strong executive communication and stakeholder management skills.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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