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

TSMG

AI/ML Data Contributor

Los Angeles, CA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Work closely with the labeling and data operations teams to define robust data annotation ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Work closely with the labeling and data operations teams to define robust data annotation ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Work closely with the labeling and data operations teams to define robust data annotation ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Liquid XR

Machine Learning Engineer

Los Angeles, CA · On-site +1

We are creating next-gen wearables using proprietary MetalGel sensor technology, capturing and feeding movement data to our machine learning-enhanced algorithms and SDKs, which connect to any modern ...

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Entry Level Machine Learning Data Annotation information

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

As of Sep 12, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $45,362 per year, or $21.8 per hour.

Multilingual Data Annotation Specialist

Marina Del Rey, CA • On-site

Zefr, Inc
Software Development • 51 - 200 employees
Learn more about Zefr, Incexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Key responsibilities

  • Annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap.

  • Conduct daily annotation and quality evaluation to ensure high-quality human annotation for AI systems.

  • Interpret, apply, and help refine labeling frameworks and documentation, and identify emerging trends or issues.

Job description

What we do:
Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr's solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.
What you'll do:
We are hiring a Multilingual Data Annotation Specialist to support the training and performance of Zefr's advanced AI systems. In this role, you will annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap.
High quality human annotation is foundational to how our machine learning systems interpret, classify, and evaluate content at scale. Your work will directly shape the accuracy and integrity of our AI solutions.
We are looking for someone curious about machine learning and computer vision, energized by nuanced decision making, and committed to delivering precise, thoughtful work. The ideal candidate is self-directed, analytical, proactive, and comfortable navigating ambiguity. Candidates should value clarity, ask smart questions, and continuously seek opportunities to improve processes.
Here's what you'll get to do:
  • Use internal tools to label social media content according to Zefr's contextual category guidelines.
  • Conduct daily annotation and quality evaluation across video, image, and metadata formats.
  • Apply cognitive and cultural nuance when making judgment calls on complex or sensitive content.
  • Interpret, apply, and help refine labeling frameworks and documentation.
  • Identify emerging trends or edge cases and surface potential issues to stakeholders.
  • Conduct root cause analyses to identify opportunities for improving content quality.
  • Provide insights on content patterns and contribute to enhancements of the labeling interface.
  • Generate weekly reports with findings and quality recommendations.
  • Perform quality assurance across multiple project pipelines.
  • Maintain up-to-date knowledge of Zefr policies and proactively suggest optimization opportunities.
  • Gain foundational exposure to machine learning concepts and develop an understanding of how high quality annotation data powers AI systems.

Here's what we're looking for:
Language Requirements:
  • Fluency in English and Hindi is required.
  • Fluency in Spanish, Mandarin, Turkish, Tagalog, or others are a plus.

Qualifications and Experience:
  • Professional experience in annotation, content moderation, labeling, quality assurance, or policy enforcement.
  • Strong cultural fluency and ability to interpret contextual nuance across varied content types.
  • Familiarity with major social media platforms including TikTok, YouTube, Facebook, Instagram, and Snapchat.
  • Exceptional attention to detail with the ability to perform repetitive tasks with consistency and accuracy.
  • Strong written communication skills, particularly in explaining ambiguity, inconsistencies, or definitional drift.
  • Ability to apply style guides and enforce consistency across diverse content formats.
  • Experience using AI tools such as Claude, Gemini, ChatGPT, or similar technologies.
  • Proficiency in Google Workspace applications.
  • Familiarity with SQL is a plus.

Working Style and Mindset:
  • Reliable, self motivated, and capable of delivering high quality work independently.
  • Strong analytical thinking and structured problem solving skills.
  • Comfortable working in a fast-paced environment with shifting priorities.
  • Work with sensitive content, including political topics, religious perspectives, violence, and adult material.
  • Effective collaborator who can also operate autonomously.
  • Willing to work a hybrid schedule with 2 to 3 days per week in our Marina del Rey office.
  • Ability to appropriately handle confidential and proprietary information with sound judgment.

Benefits (for US based employees):
  • Flexible PTO
  • Medical, dental, and vision insurance with FSA options
  • Company-paid life insurance
  • Paid parental leave
  • 401(k) with company match
  • Professional development opportunities
  • 13 paid holidays off
  • Flexible hybrid work schedules
  • "Summer Fridays" (shorter work days on select Fridays during the summertime)
  • In-office lunches and lots of free food
  • Optional in-person and virtual events (we like to celebrate!)

Compensation (for US based employees):
The anticipated salary for this position is 70,500. Individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.
Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.

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