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Freelance Machine Learning Data Annotation Jobs in Los Angeles, CA

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

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 · 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 · 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 · 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 · 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 ...

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

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

$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 ...

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 ...

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Freelance Machine Learning Data Annotation information

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

As of Sep 3, 2026, the average hourly pay for freelance machine learning data annotation in Los Angeles, CA is $23.56, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $26.92 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

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 Freelance Machine Learning Data Annotation jobs in Los Angeles, CA?

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

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

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

What cities near Los Angeles, CA are hiring for Freelance Machine Learning Data Annotation jobs?

Cities near Los Angeles, CA with the most Freelance Machine Learning Data Annotation job openings:

Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,008 per year, or $23.6 per hour.

Multilingual Data Annotation Specialist

Zefr, Inc

Marina Del Rey, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

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.

Apply