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Contract Ai Data Annotation Jobs in Rialto, CA (NOW HIRING)

Slalom Consulting

General Information

Orange, CA · On-site

$203K - $304K/yr

... contract negotiation, and close. * Identify opportunities to bring Slalom's full suite of capabilities to clients, including: * AI & Data * Customer Experience * Digital Commerce * Modern Workplace

Jobs for Humanity

Speakers/Writers

Moreno Valley, CA

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams ... 1099 contract role. International students on a valid visa may be eligible to apply; however ...

Canopy A&D

AI&T Technician, 2nd Shift

Ontario, CA

$25 - $32/hr

Hera Technologies is a premier contract manufacturer specializing in high-precision metallic and ... Frequent use of hands and fingers for data entry, keyboarding, and mouse use * Ability to view ...

Canopy A&D

AI&T Technician, 2nd Shift

Ontario, CA · On-site

Hera Technologies is a premier contract manufacturer specializing in high-precision metallic and ... Frequent use of hands and fingers for data entry, keyboarding, and mouse use * Ability to view ...

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All JobsContract Ai Data Annotation JobsContract Ai Data Annotation Jobs in Rialto, CA

Contract Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

How much do you get paid for contract AI data annotation?

Contract AI data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the platform. Rates can vary based on experience, the type of data annotated, and the employer's budget, with some projects offering fixed payments per task or dataset.
What job categories do people searching Contract Ai Data Annotation jobs in Rialto, CA look for? The top searched job categories for Contract Ai Data Annotation jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Contract Ai Data Annotation jobs? Cities near Rialto, CA with the most Contract Ai Data Annotation job openings:
Contract Ai Data Annotation jobs near you
Infographic showing various Contract Ai Data Annotation job openings in Rialto, CA as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 44% In-person, and 56% Remote job distribution.

AI Infrastructure Procurement Specialist

Zenlayer, Inc

Diamond Bar, CA • On-site

Full-time

Posted 7 days ago

Job description

We are looking for a highly motivated AI Infrastructure Procurement Specialist to help expand our AI infrastructure footprint across the United States.
As AI computing demand continues to accelerate, you will be responsible for identifying, evaluating, and securing data center capacity nationwide. You will work closely with internal infrastructure, engineering, operations, and leadership teams to source colocation opportunities, negotiate commercial terms, and build long-term relationships with data center providers, landlords, utilities, and strategic partners.
This role requires frequent travel and is ideal for someone who enjoys building from the ground up in a fast-paced startup environment. Local candidates are preferred, however open to remote-based candidates as well.
Duties & Responsibilities
  • Source and evaluate data center opportunities across the United States to support AI infrastructure expansion.
  • Build and maintain relationships with colocation providers, real estate owners, developers, utility companies, and infrastructure partners.
  • Support procurement and commercial negotiations for data center capacity, including pricing, contract terms, and service agreements.
  • Coordinate cross-functionally with engineering, deployment, finance, and operations teams to assess site feasibility.
  • Assist with due diligence on power availability, facility readiness, connectivity, and operational requirements.
  • Track market intelligence, including data center availability, power capacity, pricing trends, and regional supply dynamics.
  • Travel extensively throughout the U.S. to visit sites, attend industry meetings, and develop partner relationships.
  • Help establish scalable sourcing processes as the company continues to grow.

Required Qualifications:
  • 1+ years of experience in one or more of the following:
    • Procurement
    • Strategic Sourcing
    • Data Center Operations
    • Commercial Real Estate
    • Infrastructure Development
    • Facilities Management
    • Utility or Power-related industries
  • Strong communication and relationship management skills.
  • Comfortable working in a fast-moving, ambiguous environment.
  • Willingness to travel frequently across the United States (up to 50-70%).
  • Highly organized with strong project management skills.

Preferred Qualifications:
  • Experience in one or more of the following is a plus:
  • Data center procurement or capacity sourcing
  • Colocation services
  • Commercial real estate transactions
  • Power infrastructure or utility coordination
  • Site selection
  • Contract negotiation
  • AI/HPC infrastructure
  • Cloud infrastructure ecosystem

Entry-level candidates with strong learning ability are encouraged to apply. Experienced professionals are also welcome.
What We're Looking For
  • We're looking for someone who:
  • Has an entrepreneurial mindset and enjoys solving new challenges.
  • Is resourceful, proactive, and willing to roll up their sleeves.
  • Can build relationships quickly with external partners.
  • Is excited about helping build next-generation AI infrastructure.
  • Thrives in a startup environment where priorities evolve quickly.

Apply