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Ai Training Contract Jobs (NOW HIRING)

Weekday AI

Python Game Developer

$50 - $120/hr

Contract Location: Remote Job Summary: In this position, you will utilize your expertise to assist in training the next generation of AI systems. Your contributions will influence how models learn ...

Mercor

AI Research Collaborator - PhD

New York, NY · Remote

$80 - $110/hr

Contract Compensation: $80-$110/hour Location: Remote Role Responsibilities * Design challenging ... Collaborate with domain experts to enhance AI model training and ensure task relevance and accuracy.

Weekday AI

Mathematics PhD AI Trainer

$70 - $140/hr

This role is for one of the Weekday's clients We are seeking experts with advanced training in ... Compensation & Contract Terms * Competitive hourly rate , aligned with experience and expertise.

Vings Technologies

AI/ML Architect

San Jose, CA

$74.75 - $96/hr

Contract: 6-9. Experience: 8+ years Mandatory Skills: Agentic AI, ADK, ML and Python We are looking ... Model Training and Experimentation: -Set up and maintain automated continuous training (CT ...

New

Weekday AI

Chemistry Expert (PhD) - AI Trainer

$65 - $85/hr

This role centers on developing and evaluating AI models that can replicate real-world workflows ... Schedule: Fully remote and asynchronous - flexible working hours Compensation & Contract

Lumicity

Bioinformatics Programmer

San Francisco, CA · On-site +1

$40K - $100K/mo

Direct message the job poster from Lumicity Contract Recruitment Consultant at Lumicity | Medical ... HTML - AI Training (Freelance, Remote) San Francisco, CA $150,000.00-$180,000.00 2 weeks ago Palo ...

Weekday AI

FreeCAD Expert (BIM / IFC Focus)

$30 - $120/hr

Contract Location: Remote In this position, you will utilize your expertise to assist in training the next generation of AI systems. Your contributions will influence how models learn, reason, and ...

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Ai Training Contract information

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How much do ai training contract jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for ai training contract in the United States is $40.50, according to ZipRecruiter salary data. Most workers in this role earn between $28.61 and $47.84 per hour, depending on experience, location, and employer.

What are AI Training Contracts?

AI Training Contracts are agreements between organizations and individuals or third-party providers to develop, label, or curate datasets that train artificial intelligence (AI) models. These contracts outline the scope of work, data privacy requirements, intellectual property rights, and quality standards for annotating or generating data. They are essential for ensuring that AI systems are trained with high-quality, ethical, and legally compliant data. AI Training Contracts may be used by tech companies, research institutions, or startups seeking to enhance their AI capabilities. The roles often involve tasks such as data labeling, annotation, and validation to improve machine learning models.

What are the key skills and qualifications needed to thrive as an AI Training Contractor, and why are they important?

To thrive as an AI Training Contractor, you need strong analytical abilities, attention to detail, and a solid understanding of language, data annotation, or machine learning concepts, often supported by a relevant degree or experience. Familiarity with data labeling platforms, annotation tools, and quality assurance systems is typically required. Excellent communication, critical thinking, and adaptability are vital soft skills for collaborating with teams and handling evolving project requirements. These skills ensure accurate and efficient data preparation, which is crucial for developing and improving reliable AI systems.

What is the difference between Ai Training Contract vs Data Scientist?

AspectAi Training ContractData Scientist
Required CredentialsTypically requires a background in AI, machine learning, or related certificationsRequires degrees in data science, statistics, or related fields; certifications are common
Work EnvironmentOften project-based, contract roles within tech companies or AI startupsFull-time or contract roles in various industries, focusing on data analysis and modeling
Industry UsagePrimarily in AI development, machine learning projects, and tech firmsAcross finance, healthcare, tech, and more, focusing on data insights

While both roles involve working with data and algorithms, an Ai Training Contract focuses specifically on training AI models and machine learning systems, often in a contract setting. A Data Scientist has a broader scope, including data analysis, modeling, and deriving insights across multiple industries. Understanding these differences helps candidates choose roles aligned with their skills and career goals.

What are some common challenges faced in an AI Training Contract role, and how can candidates prepare for them?

In an AI Training Contract role, one common challenge is ensuring that data labeling and annotation are both accurate and consistent, which directly impacts the quality of the AI models. Candidates may also encounter tight deadlines and the need to quickly adapt to evolving project requirements or new annotation tools. To prepare, it's helpful to develop strong attention to detail, time management skills, and a willingness to learn new technologies. Collaborating effectively with AI engineers, data scientists, and other annotators is also crucial, as teamwork often drives the success of training projects.
More about Ai Training Contract jobs
What cities are hiring for Ai Training Contract jobs? Cities with the most Ai Training Contract job openings:
What are the most commonly searched types of Ai Training jobs? The most popular types of Ai Training jobs are:
What states have the most Ai Training Contract jobs? States with the most job openings for Ai Training Contract jobs include:
What job categories do people searching Ai Training Contract jobs look for? The top searched job categories for Ai Training Contract jobs are:
Ai Training Contract jobs near you
Infographic showing various Ai Training Contract job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $84,240 per year, or $40.5 per hour.

Senior Network Architect AI Infrastructure & Data Center Networks

Cyber 1 Armor

Milpitas, CA

Other

Posted 2 days ago

Job description

Senior Network Architect AI Infrastructure & Data Center Networks
Location : Milpitas, CA
Minimum 15+ years required
W2 contracts/C2C
Position Overview
We are seeking a highly experienced Senior Network Architect to lead the design, architecture, and evolution of large-scale AI/ML, data center, and backbone network infrastructure. The ideal candidate will have deep expertise in high-performance networking, multi-terabit WAN architectures, EVPN/VXLAN fabrics, network automation, and cloud-scale infrastructure supporting AI workloads.
Key Responsibilities
Design and architect large-scale AI/ML data center networks and high-capacity WAN infrastructure.
Lead deployment of EVPN/VXLAN fabrics supporting GPU clusters and AI training environments.
Drive network scalability, reliability, performance, and automation initiatives across global infrastructure.
Design and optimize low-latency, high-throughput networks supporting RDMA/RoCE workloads.
Develop network automation solutions using Python, Ansible, Terraform/OpenTofu, and CI/CD pipelines.
Define network standards, operational processes, observability frameworks, and reliability best practices.
Collaborate with infrastructure, cloud, systems, and AI engineering teams on strategic architecture initiatives.
Lead troubleshooting and performance optimization for large-scale production environments.
Mentor engineers and contribute to technical leadership, documentation, and architecture reviews.
Required Qualifications
15+ years of experience in Network Architecture, Network Engineering, or Network Reliability Engineering.
Deep expertise with:
BGP, OSPF, IS-IS, MPLS
EVPN/VXLAN
Data Center Networking
WAN and Backbone Architecture
AI/ML Infrastructure Networking
Network Performance and Capacity Planning
Strong experience with Juniper, Arista, Cisco, and multi-vendor environments.
Hands-on experience with Linux administration and network automation.
Strong scripting/programming skills in Python, Go, Bash, or similar languages.
Experience with Infrastructure-as-Code and automation frameworks (Ansible, Terraform/OpenTofu, Pulumi).
Experience building highly available, scalable cloud and data center networks.
Preferred Qualifications
Experience supporting AI training clusters, GPU fabrics, or HPC environments.
Knowledge of PTP, RDMA, RoCEv2, and low-latency networking technologies.
Experience with network observability platforms such as Kentik, ThousandEyes, Zabbix, Nagios, or similar.
Exposure to AWS, Google Cloud Platform, and hybrid cloud networking architectures.
Experience leading architecture reviews and cross-functional infrastructure programs.
Nice to Have
Experience with large-scale hyperscaler environments.
Participation in industry organizations such as NANOG, RIPE, or Internet Society.
Background supporting multi-terabit AI or research infrastructure environments.

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