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Remote Data Annotation Jobs in Palmdale, CA (NOW HIRING)

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

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Remote Data Annotation information

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for high accuracy and efficiency.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable opportunities.

What are popular job titles related to Remote Data Annotation jobs in Palmdale, CA?

For Remote Data Annotation jobs in Palmdale, CA, the most frequently searched job titles are:

What cities near Palmdale, CA are hiring for Remote Data Annotation jobs?

Cities near Palmdale, CA with the most Remote Data Annotation job openings:

Infographic showing various Remote Data Annotation job openings in Palmdale, 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 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Korean Language Expert

YO AI Labs

Los Angeles, CA • Remote

$65 - $100/hr

Full-time

Posted 13 days ago


Job description

Job Title: Korean Language Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Korean Language Experts to contribute their linguistic knowledge and bilingual expertise to a dynamic project focused on improving next-generation AI systems. In this role, you will evaluate, create, translate, and annotate Korean-language content to help enhance AI models' ability to understand and generate accurate, natural, and culturally appropriate language.

No prior AI experience is required—your Korean language expertise and linguistic judgment are what matter most.

Scope of Work
  • Evaluate and generate Korean-language content for accuracy, clarity, fluency, and cultural relevance.
  • Analyze Korean written and spoken content to assess natural usage, grammar, tone, and idiomatic correctness.
  • Provide detailed linguistic feedback and annotations to improve AI language understanding and output quality.
  • Translate and localize content between Korean and English, prioritizing contextual meaning and natural expression over literal translation.
  • Collaborate with project participants to improve data collection, evaluation, and annotation processes.
  • Help develop language guidelines and resources tailored to AI training and evaluation.
  • Participate in regular written and verbal communication to discuss project progress, challenges, and best practices.
Required Skills
  • Korean Language Proficiency
  • Bilingual Korean-English Communication
  • Linguistics
  • Written and Verbal Communication
  • Translation and Localization
  • Language Content Evaluation
  • Attention to Detail
Preferred Qualifications
  • Native or near-native proficiency in Korean with advanced English proficiency.
  • Educational or professional background in linguistics, translation, localization, language studies, or a related field.
  • Excellent written and verbal communication skills in both Korean and English.
  • Professional experience working with language data, translation, localization, content review, or linguistic analysis.
  • Ability to provide clear, constructive, and actionable linguistic feedback.
  • Familiarity with language technology, digital content platforms, or AI-related projects is a plus.
  • Strong intercultural awareness and sensitivity to nuances in Korean language and communication styles.