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Remote Entry Level Data Annotation Jobs in Anaheim, CA

Partner Energy

Energy Engineer I

Torrance, CA · On-site +1

$60K - $70K/yr

Collect, organize, and analyze utility data for energy, water, and emissions reporting * Assist ... and remote coordination * Support preliminary energy and water audits, commissioning tasks, and ...

ACES

BCBA

Baldwin Park, CA · On-site +1

$90K - $105K/yr

Embrace flexibility with up to 25% remote work capability. * Referral Bonuses: Earn up to $3000 for ... Data-Driven Progress Tracking: Utilize cutting-edge data collection software to evaluate and update ...

Iatinsurancegroup

Commercial Surety Underwriter

Anaheim, CA · On-site +1

$55K - $120K/yr

For the ideal candidate, we are open to remote work from Washington or Oregon, or from our Bellevue ... Financial and account analysis of pertinent financial data, authority, and referral requirements ...

ICF

Noise Specialist

Irvine, CA · On-site +1

The position is available for entry level candidates, or for professionals with 1-3 years of ... Assisting with data collection and impact analysis for noise and vibration projects * Quantify ...

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All JobsData Annotation JobsRemote Entry Level Data Annotation JobsRemote Entry Level Data Annotation Jobs in Anaheim, CA

Remote Entry Level Data Annotation information

See Anaheim, CA salary details

$12

$21

$32

How much do remote entry level data annotation jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote entry level data annotation in Anaheim, CA is $21.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $22.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote entry level data annotation?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are some common challenges faced by remote entry level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.
What are popular job titles related to Remote Entry Level Data Annotation jobs in Anaheim, CA? For Remote Entry Level Data Annotation jobs in Anaheim, CA, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Annotation jobs in Anaheim, CA look for? The top searched job categories for Remote Entry Level Data Annotation jobs in Anaheim, CA are:
What cities near Anaheim, CA are hiring for Remote Entry Level Data Annotation jobs? Cities near Anaheim, CA with the most Remote Entry Level Data Annotation job openings:
Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Anaheim, CA as of July 2026, with employment types broken down into 71% Full Time, 16% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,073 per year, or $21.2 per hour.

AI Infrastructure Procurement Specialist

Zenlayer

Diamond Bar, CA • On-site, Remote

Full-time

Posted 5 days ago

Job description

We are looking for a highly motivatedAI 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.


RequiredQualifications:

  • 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