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Entry Level Machine Learning Data Annotation Jobs in Los Angeles, CA

Crowe LLP

Machine Learning Intern

Los Angeles, CA · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Phase2 Technology

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

Job Number: R0244683 Machine Learning Engineer The Opportunity: As a programmer, you know that ... Experience with data handling and model development * Experience with leveraging AI productivity ...

Turion Space

Machine Learning Engineer

Irvine, CA

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

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Entry Level Machine Learning Data Annotation information

See Los Angeles, CA salary details

$12

$21

$33

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

As of Aug 23, 2026, the average hourly pay for entry level machine learning data annotation in Los Angeles, CA is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $23.56 per hour, depending on experience, location, and employer.

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

AspectEntry Level Machine Learning Data AnnotationEntry Level Data Labeling Specialist
CredentialsBasic understanding of data annotation tools, no formal certification requiredSimilar; often no formal certification needed
Work EnvironmentRemote or on-site, working with AI teams and datasetsRemote or on-site, focusing on labeling data for AI/ML projects
Industry UsagePrimarily in AI, machine learning, and data science companiesUsed across tech, automotive, healthcare, and other industries
Search & Comparison IntentCommonly compared for entry-level roles in AI data prepOften compared as a similar entry-level data labeling role

Both roles involve preparing data for machine learning models, with similar entry-level requirements. The main difference lies in terminology and specific job focus, but they often overlap in skills and work environment.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Los Angeles, CA?

The most popular types of Machine Learning Data Annotation jobs in Los Angeles, CA are:

What are popular job titles related to Entry Level Machine Learning Data Annotation jobs in Los Angeles, CA?

For Entry Level Machine Learning Data Annotation jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Data Annotation jobs in Los Angeles, CA look for?

The top searched job categories for Entry Level Machine Learning Data Annotation jobs in Los Angeles, CA are:

Entry Level Machine Learning Data Annotation jobs near you
Infographic showing various Entry Level Machine Learning Data Annotation job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,362 per year, or $21.8 per hour.

Machine Learning Engineer

Layup Parts

Huntington Beach, CA

$120K - $185K/yr

Full-time

Posted 19 days ago

Job description

At Layup Parts, we're developing the technology that will build the future.  

We're a manufacturing technology company replacing months of lead time with days, using proprietary software, automation, and advanced manufacturing systems built for speed. Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up with them, manufacturing has to change. That's what we're building. 

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given design, and extracting structured data out of existing documentation. We're looking for someone who has trained custom models on large, parameter-rich datasets, ideally with a geometric or spatial component, and who is energized by problems in that space specifically. 

What You'll Do
  • Train and iterate on custom ML models using Layup's internal manufacturing and design data 
  • Build models that estimate cost and predict design complexity or manufacturing difficulty from part geometry 
  • Develop models that generate or assist in generating new designs based on historical design data 
  • Build pipelines to extract structured data (specs, dimensions, material callouts, etc.) from existing engineering documents and drawings 
  • Evaluate and select modeling approaches suited to geometric, spatial, and other structured data, rather than text-based problems 
  • Work closely with engineering and manufacturing teams to source, clean, and label internal datasets 
  • Own model performance end-to-end, from data pipeline through training, evaluation, and deployment into internal tools 
  • Continuously identify new opportunities where custom models could improve design, estimation, or manufacturing workflows 
What We're Looking For
  • Experience training custom models beyond basic labeling or fine-tuning workflows 
  • Experience with advanced object detection at minimum; data classification experience is a strong plus 
  • Experience with geometry-based modeling is highly preferred 
  • Experience working with large, parameter-rich datasets 
  • Strongest fit is someone whose background is in structured, spatial, or geometric data problems rather than natural language or LLM-centric work 
Bonus Points
  • Experience training geometry-specific models 
  • CAD experience 
  • Manufacturing experience 

Final compensation is based on your experience, skills, and what you bring to the table.  

  • Full Benefits Package: Medical, dental, and vision coverage, short- and long-term disability insurance, company-paid life insurance  
  • Equity Option Grants 
  • 401k plan 
  • Paid Time Off:  Unlimited PTO + 9 Federal Holidays 

Equal Opportunity 

Layup is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance.  

ITAR Requirements  

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.